From e2af479165a60eb6dfbef0723356edf6a2aea537 Mon Sep 17 00:00:00 2001 From: snichet Date: Mon, 21 Apr 2025 23:29:21 -0400 Subject: [PATCH 1/4] adding tests and finishing up notebook --- docs/lgt_strings/lgt_strings.ipynb | 1861 +++++++++++++++++++++ recirq/lgt_strings/lgt_experiment.py | 1267 ++++++++++++++ recirq/lgt_strings/lgt_experiment_test.py | 171 ++ 3 files changed, 3299 insertions(+) create mode 100644 docs/lgt_strings/lgt_strings.ipynb create mode 100644 recirq/lgt_strings/lgt_experiment.py create mode 100644 recirq/lgt_strings/lgt_experiment_test.py diff --git a/docs/lgt_strings/lgt_strings.ipynb b/docs/lgt_strings/lgt_strings.ipynb new file mode 100644 index 00000000..f6ae3890 --- /dev/null +++ b/docs/lgt_strings/lgt_strings.ipynb @@ -0,0 +1,1861 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 50, + "id": "6af072a8", + "metadata": {}, + "outputs": [], + "source": [ + "import cirq\n", + "from matplotlib.colors import LinearSegmentedColormap#, ListedColormap\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib\n", + "from matplotlib import ticker\n", + "import numpy as np\n", + "from matplotlib import colormaps\n", + "import qsimcirq\n", + "from scipy.optimize import minimize_scalar\n", + "import sympy\n", + "\n", + "import recirq.lgt_strings.lgt_experiment as lgt\n", + "import recirq.toric_code.toric_code_plotter as tc_plot\n", + "import recirq.toric_code.toric_code_plaquettes as tc_plaq\n", + "import recirq.toric_code.toric_code_rectangle as tcr" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "6cbbedb7", + "metadata": {}, + "outputs": [], + "source": [ + "#Notebook Parameters\n", + "\n", + "reps = 1_000\n", + "\n", + "number_of_gauge_qubits = 17\n", + "\n", + "plt.rcParams['figure.dpi'] = 72\n", + "plt.rcParams['font.size'] = 12\n", + "plt.rcParams['lines.markersize'] = 8\n", + "plt.rcParams['lines.markeredgecolor'] = 'k'\n", + "plt.rcParams['lines.markeredgewidth'] = 0.7\n", + "plt.rcParams['xtick.direction'] = 'in'\n", + "plt.rcParams['ytick.direction'] = 'in'\n", + "plt.rcParams['xtick.bottom'] = True\n", + "plt.rcParams['xtick.top'] = True\n", + "plt.rcParams['ytick.left'] = True\n", + "plt.rcParams['ytick.right'] = True\n", + "plt.rcParams['xtick.labelbottom'] = True\n", + "plt.rcParams['ytick.labelleft'] = True\n", + "\n", + "WALA_INITIAL = np.array([0, 0.35746251, 0.14352941, 1])\n", + "TORIC_INITIAL = 'steelblue'\n", + "POLARIZED_INITIAL = \"#fbbc04\"\n", + "BREAKING_BOTTOM = '#67cd85ff'\n", + "BREAKING_TOP = '#e6a304ff'\n", + "BREAKING_VAC = 'k'\n", + "\n", + "cmap1 = LinearSegmentedColormap.from_list(\"1\", ['darkred', 'salmon'],gamma=1.0)\n", + "cmap2 = LinearSegmentedColormap.from_list(\"2\", ['salmon','lightgrey'],gamma=1.0)\n", + "cmap3 = LinearSegmentedColormap.from_list(\"3\", ['lightgrey','lightsteelblue'],gamma=1.0)\n", + "cmap4 = LinearSegmentedColormap.from_list(\"4\", ['lightsteelblue','steelblue'],gamma=1.0)\n", + "color_list = [cmap1(i) for i in np.arange(0,1,1/375)]+ [cmap2(i) for i in np.arange(0,1,1/250)] + [cmap3(i) for i in np.arange(0,1,1/30)] + [cmap4(i) for i in np.arange(0,1,1/95)]\n", + "charge_cmap = LinearSegmentedColormap.from_list(\"Charge\", color_list,gamma=1)\n", + "charge_cmap_r = LinearSegmentedColormap.from_list(\"Charge_r\", color_list[::-1],gamma=1)\n", + "\n", + "he_list = [0,0.3,0.6,0.8,2.0]\n", + "blues_cmap = matplotlib.colors.LinearSegmentedColormap.from_list(\n", + " \"Blues\", [(0.0,'k'),(0.5,'steelblue'), (1.0,(0.9*0.6901960784313725, 0.9*0.7686274509803922, 1.0*0.8705882352941177, 1.0))]\n", + ")\n", + "blues_cmap_r = matplotlib.colors.LinearSegmentedColormap.from_list(\n", + " \"Blues_r\", [(1.0,'k'),(0.5,'steelblue'), (0.0,(0.9*0.6901960784313725, 0.9*0.7686274509803922, 1.0*0.8705882352941177, 1.0))][::-1]\n", + ")\n", + "blues_color_list = [blues_cmap(i) for i in np.arange(1,-0.01,-1/(max(len(he_list)-1,1)))]\n", + "\n", + "colors_greens1 = ['white', '#009468ff']\n", + "colors_greens2 = [\"#bdc1c6\",'#009468ff']\n", + "colors_greens3 = ['#009468ff','black']\n", + "cmap_greens1 = LinearSegmentedColormap.from_list(\"1\", colors_greens1,gamma=3.5)\n", + "cmap_greens2 = LinearSegmentedColormap.from_list(\"mycmap\", colors_greens3,gamma=0.8)\n", + "color_list = ([cmap_greens1(i) for i in np.arange(0,1,1/10240)] + [cmap_greens2(i) for i in np.arange(0,1,1/12500)])\n", + "cmap_green = LinearSegmentedColormap.from_list(\"mycmap\", color_list,gamma=1)\n", + "cmap_green_r = LinearSegmentedColormap.from_list(\"mycmap\", color_list[::-1],gamma=1)\n", + "\n", + "colors = ['darkred', 'salmon']\n", + "cmap1 = LinearSegmentedColormap.from_list(\"mycmap\", colors,gamma=4.0)\n", + "colors = ['salmon','lightgrey']\n", + "cmap2 = LinearSegmentedColormap.from_list(\"mycmap\", colors,gamma=1.0)\n", + "colors = ['lightgrey','lightsteelblue']\n", + "cmap3 = LinearSegmentedColormap.from_list(\"mycmap\", colors,gamma=1.0)\n", + "colors = ['lightsteelblue','steelblue']\n", + "cmap4 = LinearSegmentedColormap.from_list(\"mycmap\", colors,gamma=0.5)\n", + "color_list = [cmap1(i) for i in np.arange(0,1,1/1500)]+ [cmap2(i) for i in np.arange(0,1,1/300)] + [cmap3(i) for i in np.arange(0,1,1/300)] + [cmap4(i) for i in np.arange(0,1,1/1500)]\n", + "diff_cmap = LinearSegmentedColormap.from_list(\"mycmap\", color_list,gamma=1)\n", + "diff_cmap_r = LinearSegmentedColormap.from_list(\"mycmap\", color_list[::-1],gamma=1)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "bbc3fd0a", + "metadata": {}, + "outputs": [], + "source": [ + "#Notebook Functions\n", + "\n", + "def mean_field_energy(theta, Lx=5, Ly=5, Je=1., Jm=1., he=0.0):\n", + " energy = - Je * Lx * Ly\\\n", + " - Jm * (Lx-1) * (Ly-1) * np.sin(theta)\\\n", + " - he * (2 * (Lx-1) + 2 * (Ly-1)) * np.cos(theta)\\\n", + " - he * (2 * Lx * Ly - 3 * Lx - 3 * Ly + 4) * np.cos(theta)**2\n", + " return energy\n", + "\n", + "def bitstring_to_expectation_value(\n", + " bitstrings:np.ndarray\n", + ")->np.ndarray:\n", + " return -2 * bitstrings + 1\n", + "\n", + "def energy_from_measurements(\n", + " hamiltonian_coefs:dict,\n", + " z_basis_results:np.ndarray,\n", + " x_basis_results:np.ndarray\n", + ") -> float:\n", + " return (-hamiltonian_coefs['Je'] * np.sum(np.mean(bitstring_to_expectation_value(lgt.plaquette_bitstrings(z_basis_results,grid)),axis=0))\n", + " -hamiltonian_coefs['Jm'] * np.sum(np.mean(bitstring_to_expectation_value(lgt.x_plaquette_bitstrings(x_basis_results,grid)),axis=0))\n", + " -hamiltonian_coefs['he'] * np.sum(np.mean(bitstring_to_expectation_value(z_basis_results),axis=0))\n", + " -hamiltonian_coefs['lambda'] * np.sum(np.mean(bitstring_to_expectation_value(x_basis_results),axis=0))\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "f4110f55", + "metadata": {}, + "source": [ + "### Motivation and background\n", + "\n", + "This ReCirq tutorial is based on experiments done on Google's quantum processor, the results of which can be found at https://arxiv.org/abs/2409.17142.\n", + "\n", + "Gauge theories are a fundamental way to describe nature. From the quantum description of electromagnetic phenomena (dubbed quantum electrodynamics) to the theories that explain the fundamental particles explored at the Large Hadron Collider in Switzerland, gauge theories are ubiquitous throughout physics. While studies of gauge theories began analytically (pen and paper), soon the continuous theories were discretized and physicists began studying \"lattice gauge theories,\" which are advantageous for numerical simulations. However, certain lattice gauge theories have proven intractable for classical computers because of the exponential cost to simulate larger systems. This provides a unique opportunity for today's emerging quantum computers to simulate results beyond the capabilities of classical processors. Along those lines, researchers have used superconducting qubits, arrays of neutral atoms, and trapped ions to simulate one dimensional lattice gauge theories. These experiments have shown the ability for quantum processors to capture the expected behavior in small, spatially limited systems. In our work, we extend the state-of-the-art by pushing the quantum simulation of gauge theories to two spatial dimensions. Specifically, we study the dynamics of a 2D grid of superconducting qubits under a Trotterized time evolution described by a $\\mathbb{Z}_2$ lattice gauge theory with Hamiltonian:\n", + "\n", + "$$\\mathcal{H}=-J_E\\sum_{v}\\hspace{-0.6mm}A_v -J_M\\sum_{p} \\hspace{-0.6mm}B_p-h_E\\sum_{\\text{links}}\\hspace{-0.6mm}Z_l-\\lambda\\sum_{\\text{links}}\\hspace{-0.6mm}X_l$$\n", + "\n", + "$$A_v=\\prod_{i \\in v} Z_i$$\n", + "\n", + "$$B_p=\\prod_{i \\in p} X_i.$$\n", + "\n", + "As depicted in the schematic below, the $A_v$ operators correspond to electric \"charges\" that can exist on a vertex $v$. The $B_p$ operators correspond to magnetic excitations, that are defined on the dual lattice of plaquettes, indexed by $p$. The $h_E$ term represents the energy associated with the \"electric field\", while $\\lambda$ controls the coupling between electric charges." + ] + }, + { + "attachments": { + "image-2.png": { + "image/png": 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" + } + }, + "cell_type": "markdown", + "id": "aebd7ee0", + "metadata": {}, + "source": [ + "![image-2.png](attachment:image-2.png)" + ] + }, + { + "cell_type": "markdown", + "id": "4b2a074d", + "metadata": {}, + "source": [ + "After first preparing a low energy state, we excite the system by pair-creating charges connected by a string of gauge flux. Based on the value of $h_E$, the theory will be in a confined or a deconfined regime. We see this transition by tracking the Hamiltonian evolution of charges and the average separation of an initialized pair. Then we turn to exploring the dynamics of a string of gauge flux connecting two charges that are \"pinned\" to the boundary of the grid. The string displays behavior that shows the transition from a deconfined, to a weakly and finally to a strongly confined regime as $h_E$ is increased. Finally, by initiating a string across the grid, but then measuring the pair-creation of additional charges, we observe evidence of string breaking in the confined regime as the coupling parameter, $\\lambda$, is tuned." + ] + }, + { + "cell_type": "markdown", + "id": "629aac46", + "metadata": {}, + "source": [ + "### Prepare a low energy initial state: WALA" + ] + }, + { + "cell_type": "markdown", + "id": "c9e5c8e1", + "metadata": {}, + "source": [ + "We start by preparing a low-energy state, on top of which we will pair-create charges. Our approach is to use a \"Weight Adjustable Loop Ansatz\" (WALA), which is equivalent to the mean-field ground state of the dual Ising model when $\\lambda = 0$. The ansatz only has one tunable parameter, $\\theta$. Since an expression for the mean-field Ising model is known exactly, the variational parameters for the WALA initial state can be efficiently classically calculated for any system size. In the limit of $h_E \\rightarrow 0$, the WALA reduces to the ground state of the toric code, previously explored in the ReCirq https://quantumai.google/cirq/experiments/toric_code/toric_code_ground_state. As shown below, we choose a system size that has a 4x3 grid of charge sites, which corresponds to 17 gauge qubits.\n", + "\n", + "Note that in the experiment on quantum hardware, we use an additional 18 ancilla qubits to facilitate the Trotterization on the square grid of qubits with nearest-neighbor connectivity. However, to perform a Cirq simulation of these circuits, I will use a modified Trotter evolution that is not limited by the device connectivity and only uses the minimal number of physical qubits, at the cost of more gate layers." + ] + }, + { + "cell_type": "markdown", + "id": "97b5d107", + "metadata": {}, + "source": [ + "We start by initializing a `grid` object that serves to keep track of the qubits." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "3ec38233", + "metadata": {}, + "outputs": [], + "source": [ + "Lx = 4\n", + "Ly = 3\n", + "\n", + "grid = lgt.LGTGrid(origin_qubit = cirq.GridQubit(0,0),orientation_vector = (1,1), rows = Lx-1, cols = Ly-1, flip_rowcol = False)" + ] + }, + { + "cell_type": "markdown", + "id": "3f841a5a", + "metadata": {}, + "source": [ + "This is visualized below where the grey diamonds correspond to the gauge qubits and the possible sites for charge excitations are shown in blue:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "f6175473", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "code = tcr.ToricCodeRectangle(origin_qubit=cirq.GridQubit(0,0), row_vector=(1,1), rows=grid.cols, cols=grid.rows)\n", + "\n", + "fig, ax = plt.subplots()\n", + "\n", + "tc_plot.ToricCodePlotter(z_cmap = charge_cmap, x_cmap = matplotlib.colormaps['binary']).plot_expectation_values(tc_plaq.ToricCodePlaquettes(\n", + " code,\n", + " x_plaquettes = np.zeros((code.rows,code.cols))-1,\n", + " z_plaquettes = np.zeros((code.rows+1,code.cols+1))+1\n", + " ),patch_kwargs={'linewidth':0.025},ax = ax)\n", + "\n", + "lgt.plot_qubit_polarization_values(\n", + " ax = ax,\n", + " grid = lgt.LGTGrid(origin_qubit = cirq.GridQubit(0,0),orientation_vector = (1,1), rows = grid.cols, cols = grid.rows, flip_rowcol = False),\n", + " qubit_polarization_data=np.zeros(17),\n", + " ancilla_states_data=np.zeros(18),\n", + " plot_physical_qubits=True,\n", + " plot_ancillas = False,\n", + " qubit_colormap=matplotlib.colormaps['binary']\n", + " )\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "e6b8e7c1", + "metadata": {}, + "source": [ + "Next, we populate a dictionary with the optimal WALA angle, $\\theta$, for each $h_E$:" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "88c9f682", + "metadata": {}, + "outputs": [], + "source": [ + "he_list = np.around(np.linspace(0,3,31),2)\n", + "\n", + "angles = {}\n", + "for he in he_list:\n", + " fun = lambda theta: mean_field_energy(theta, Lx=Lx+1, Ly=Ly+1, he=he)\n", + " res = minimize_scalar(fun, bracket=(0, np.pi/2))\n", + " angles[np.around(he,2)]= res.x" + ] + }, + { + "cell_type": "markdown", + "id": "7c76734c", + "metadata": {}, + "source": [ + "and then use those angles to define the circuits to create the WALA state:" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "a2247fcf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
                            ┌──┐           ┌──┐           ┌──┐\n",
+       "(-1, 0): ───Ry(theta)─────────@─────────────@────────────────────────\n",
+       "                              │             │\n",
+       "(-1, 2): ───Ry(theta)────────@┼─────────────┼@───────────────────────\n",
+       "                             ││             ││\n",
+       "(0, -1): ───────────────H────┼@────H────────┼┼─────────────@─────────\n",
+       "                             │              ││             │\n",
+       "(0, 1): ────────────────H────@─────H───H────@┼────H────────┼─────────\n",
+       "                                             │             │\n",
+       "(0, 3): ───────────────────────────────H─────@────H────────┼@────────\n",
+       "                                                           ││\n",
+       "(1, 0): ────Ry(theta)────────@───────────────@────────H────@┼────H───\n",
+       "                             │               │              │\n",
+       "(1, 2): ────Ry(theta)────────┼@─────────────@┼────────H─────@────H───\n",
+       "                             ││             ││\n",
+       "(2, -1): ───────────────H────@┼────H────────┼┼─────────────@─────────\n",
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+       "(2, 1): ────────────────H─────@────H───H────┼@────H────────┼─────────\n",
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+       "(2, 3): ───────────────────────────────H────@─────H────────┼@────────\n",
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+       "(3, 0): ────Ry(theta)────────@───────────────@────────H────@┼────H───\n",
+       "                             │               │              │\n",
+       "(3, 2): ────Ry(theta)────────┼@─────────────@┼────────H─────@────H───\n",
+       "                             ││             ││\n",
+       "(4, -1): ───────────────H────@┼────H────────┼┼─────────────@─────────\n",
+       "                              │             ││             │\n",
+       "(4, 1): ────────────────H─────@────H───H────┼@────H────────┼─────────\n",
+       "                                            │              │\n",
+       "(4, 3): ───────────────────────────────H────@─────H────────┼@────────\n",
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+       "(5, 0): ──────────────────────────────────────────────H────@┼────H───\n",
+       "                                                            │\n",
+       "(5, 2): ──────────────────────────────────────────────H─────@────H───\n",
+       "                            └──┘           └──┘           └──┘
" + ], + "text/plain": [ + " ┌──┐ ┌──┐ ┌──┐\n", + "(-1, 0): ───Ry(theta)─────────@─────────────@────────────────────────\n", + " │ │\n", + "(-1, 2): ───Ry(theta)────────@┼─────────────┼@───────────────────────\n", + " ││ ││\n", + "(0, -1): ───────────────H────┼@────H────────┼┼─────────────@─────────\n", + " │ ││ │\n", + "(0, 1): ────────────────H────@─────H───H────@┼────H────────┼─────────\n", + " │ │\n", + "(0, 3): ───────────────────────────────H─────@────H────────┼@────────\n", + " ││\n", + "(1, 0): ────Ry(theta)────────@───────────────@────────H────@┼────H───\n", + " │ │ │\n", + "(1, 2): ────Ry(theta)────────┼@─────────────@┼────────H─────@────H───\n", + " ││ ││\n", + "(2, -1): ───────────────H────@┼────H────────┼┼─────────────@─────────\n", + " │ ││ │\n", + "(2, 1): ────────────────H─────@────H───H────┼@────H────────┼─────────\n", + " │ │\n", + "(2, 3): ───────────────────────────────H────@─────H────────┼@────────\n", + " ││\n", + "(3, 0): ────Ry(theta)────────@───────────────@────────H────@┼────H───\n", + " │ │ │\n", + "(3, 2): ────Ry(theta)────────┼@─────────────@┼────────H─────@────H───\n", + " ││ ││\n", + "(4, -1): ───────────────H────@┼────H────────┼┼─────────────@─────────\n", + " │ ││ │\n", + "(4, 1): ────────────────H─────@────H───H────┼@────H────────┼─────────\n", + " │ │\n", + "(4, 3): ───────────────────────────────H────@─────H────────┼@────────\n", + " ││\n", + "(5, 0): ──────────────────────────────────────────────H────@┼────H───\n", + " │\n", + "(5, 2): ──────────────────────────────────────────────H─────@────H───\n", + " └──┘ └──┘ └──┘" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cirq.Circuit.from_moments(*lgt.variational_ground_state_minimal_qubits(grid,sympy.Symbol('theta')))" + ] + }, + { + "cell_type": "markdown", + "id": "0af624ee", + "metadata": {}, + "source": [ + "Adding measurements in the Z and X bases, we populate lists of circuits for many values of $h_E$ to simulate the energy of the WALA state and compare this to the energy of the trivial product state where all qubits are in the $\\ket{0}$ state." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "b51f1408", + "metadata": {}, + "outputs": [], + "source": [ + "wala_circuits_z=[]\n", + "wala_circuits_x=[]\n", + "\n", + "for he in he_list:\n", + " wala_circuits_z.append(cirq.Circuit.from_moments(*lgt.variational_ground_state_minimal_qubits(grid,angles[he]))+cirq.measure(*sorted(grid.physical_qubits), key=\"measure_all\"))\n", + " wala_circuits_x.append(cirq.Circuit.from_moments(*lgt.variational_ground_state_minimal_qubits(grid,angles[he]))+cirq.H.on_each(grid.physical_qubits)+cirq.measure(*sorted(grid.physical_qubits), key=\"measure_all\"))\n", + "\n", + "polarized_circuit_z = cirq.Circuit.from_moments(cirq.Moment(cirq.measure(*sorted(grid.physical_qubits), key=\"measure_all\")))\n", + "polarized_circuit_x = cirq.Circuit.from_moments(cirq.Moment(cirq.H.on_each(grid.physical_qubits)),cirq.Moment(cirq.measure(*sorted(grid.physical_qubits), key=\"measure_all\")))" + ] + }, + { + "cell_type": "markdown", + "id": "c5756ed6", + "metadata": {}, + "source": [ + "Let's simulate these circuits using qsim. Since we're simulating a few 10s of circuits with 17 qubits, this should take less that 1 second." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "0cdcec41", + "metadata": {}, + "outputs": [], + "source": [ + "simulator = qsimcirq.QSimSimulator()\n", + "\n", + "results_wala_z = simulator.run_batch(wala_circuits_z,repetitions=reps)\n", + "results_wala_x = simulator.run_batch(wala_circuits_x,repetitions=reps)\n", + "\n", + "results_polarized_z = simulator.run(polarized_circuit_z,repetitions = reps)\n", + "results_polarized_x = simulator.run(polarized_circuit_x,repetitions = reps)\n", + "\n", + "results_wala_combined = {}\n", + "for idx,he in enumerate(he_list):\n", + " results_wala_combined[('basis_z',f'he_{np.around(he,2)}')] = results_wala_z[idx][0]\n", + " results_wala_combined[('basis_x',f'he_{np.around(he,2)}')] = results_wala_x[idx][0]\n", + "\n", + "results_polarized = {}\n", + "results_polarized['basis_z'] = results_polarized_z\n", + "results_polarized['basis_x'] = results_polarized_x" + ] + }, + { + "cell_type": "markdown", + "id": "530fe2e1", + "metadata": {}, + "source": [ + "Now, we can take these measurements, which correspond to the initial states with different values of $h_E$, and calculate the energy based on the Hamiltonian, $\\mathcal{H}$:" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "272f2aa9", + "metadata": {}, + "outputs": [], + "source": [ + "wala_energies_dict = {}\n", + "toric_code_energies_dict = {}\n", + "polarized_energies_dict = {}\n", + "for idx, he in enumerate(he_list):\n", + " energy = energy_from_measurements(\n", + " hamiltonian_coefs = {'Je':1,'Jm':1,'he':he,'lambda':0.25},\n", + " z_basis_results = results_wala_combined[('basis_z',f'he_{np.around(he,2)}')].measurements['measure_all'],\n", + " x_basis_results = results_wala_combined[('basis_x',f'he_{np.around(he,2)}')].measurements['measure_all']\n", + " )\n", + "\n", + " wala_energies_dict[he] = energy\n", + "\n", + " energy = energy_from_measurements(\n", + " hamiltonian_coefs = {'Je':1,'Jm':1,'he':he,'lambda':0.25},\n", + " z_basis_results = results_wala_combined[('basis_z',f'he_{0.0}')].measurements['measure_all'],\n", + " x_basis_results = results_wala_combined[('basis_x',f'he_{0.0}')].measurements['measure_all']\n", + " )\n", + "\n", + " toric_code_energies_dict[he] = energy\n", + "\n", + " energy = energy_from_measurements(\n", + " hamiltonian_coefs = {'Je':1,'Jm':1,'he':he,'lambda':0.25},\n", + " z_basis_results = results_polarized['basis_z'].measurements['measure_all'],\n", + " x_basis_results = results_polarized['basis_x'].measurements['measure_all']\n", + " )\n", + "\n", + " polarized_energies_dict[he] = energy" + ] + }, + { + "cell_type": "markdown", + "id": "5f42e302", + "metadata": {}, + "source": [ + "Plot the energies!" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "845546bd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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mCH2J5y8JEtGAHedNET4rGgZs1a4Phvo2hnxvFOSQyVC92gelx2IxCZlhGBhk+RxblllYUklZWIVyZcWknyoZRZ7E5YQo2w9ZWBpoAIyUC/mDNOgrQUTK5M6dOyhRokSSx2iOIwsrMeSbsrS0FMpHY2GRG0bTPymj+D4xjYtGc01Kq0dKL/FQpbFgC8uMlVaTps2xYdtJbN13XaxpW6G0gbLI71B+tY++7VCdqQHV7cGQ1dFpLTLDmAU9O3dA2HndlXipvXundkbrK2fOnMJXpIGG28g/RT56slYmT54slAAFRxjCzz//jGHDhuHWrVtC2VGwGQ3VJaZVq1YiUIOGHilwg46hYUDKz0oyDBkyRERZk+Iiv1jr1q3FebRv+vTpePjwIV69eiXiDTSQMqOqyH379hX+MxrOJOVJfjBjwQornSJlqQxlhTOQ8rSHHDLp/6mdLqS1WAxj8jRt4gf3LGo8ObZOWFQErWmb2v2bNjFaXwEBASKwjIbP/vjjD+GDooAzCnwga4cCMmixsrIy6Hp9+vQRSoUUh6Ojo4jYe//+/UfHka+JAjNIIWbNmlUEXNDUH2LGjBkimI2iAGmObMuWLbU+s44dOwqfFWUO+uqrr0SwW3woQIMCRMg6o4A3yuH65MkTGAsOujDDoIvkog7bBvW1TiK9k6LQSEgF+oqSJgyTEUjKua8Psg4oGnDW/CV4++49HGwzCcuKlBVXBTcOnxN0wT6sDIDCuR6kCuehvtED6jtDgLAtUHosEcUjGYbRPeTezL+pWBjTgYcEMwiSlTMUJQKh8FwORF6D6qQX1A/na7ODMAzDmDqssDIQNJShyNUCygrnIDlVhPpGd6gvNIAc/TitRWMYhvkkrLAyIJJNPijKbIPCbRrkV4egOl4G6mecMJdhGNOGFVYGRZIUUOTvBmWF04BtUagvt4Lq8o+QY1+mtWgMwzA6YYWVwZFs3aD0OghFod8gh66D6kRZqF/sSmuxGIZhPoIVFgNJYQFFwQAoy/0LWGSG+nx9qK73gKz6OFchwzBMWsEKi9EiOX4FpfcJSC6/Qn40H6oT5SC/OZbWYjEMwwhYYTEJkCi1U9GJUH61B5BjoTpdHao7wyCrUy7hJ8MwyY/4vX379medqynVZMw6VcaqnvwpWGExOpGyVIWywllIedpADh4P1alKkCP+S8rJMIx54uLiIupvUd5Ac4MVFpMkkoUjlMXnQ1FqPRD9FKqTFaEOmQxZNu4vM4YxNSg1E9Wda1zXG/Vruos1bRur2nBaEZdEBXdzgRUW80kU2RtAWfE8JOd6UN8eBNWZWlBF3k6Xf9AMQ9/hjm19RZHUhV3OYdOQO2JN253a+Rn1O07DaFRMUZMstl27doiKitJW9y1SpIhITtuwYUNRi0oXlN29bNmyItktlfgYOXKkdl9wcLAYPly0aJGwrKgAo6aNlNexY8fE8KBmsbGxETJp7gNlY6e6WdmyZRNJdV++fJmgYjLVw6J9Y8eORWrACosxCMkqOxQl10DhsQTq8Ivo6O+Bazvbp/gfNMOkNlRnztX6gKjondn+Q6JbWtO2i+U+sd+YUDXhnTt3ilIcN2/eFNnb9+3bJzK5U/kPynZOiqF58+Y6z6fM6pQlnSr9kvKaM2cONm7cmOAYKvFByWapn/hUqlRJDA/SQuVCKlSogBYtWmizttN16FxSlqRQu3fvLvZdvXoVXbt2FUqL9lF5Eio5ktJwtvYMkK3d2Kz9eyau7+2DgJYff3WoCrJH7XmiNhfDmFpWcNXNPp8ss9Okzyks7PNOq6ziQ5W9O/5ph7WTyyV5vuRQGkq3KQbJRtbMoEGDtCXnqeQHlRapXr26sFyo3D1BCiVLliyizhWdQxYSvSYLLDG9e/cW+//8809hTRUsWFAoQyoXQmjaqN5W/EKLpICoOOPmzZtF8l+6ZzNnzkStWrXEflKcZKVRuZJx48YJpbVq1SqxLzIyUshH8n/zzTcplq3dZCwsujEkKBUra9u2rd5j6cONb8bSOQ4ODtr99GGTaavZTzVmGOOx8q9l6NpQtxXVrUEkVi4x7I+VYUyR2DiVTmVFUHtMrHH9QIlLzpPFQkv88vP0HMuWLZu2VH18Tpw4gRo1aiB79uxwcnLC3LlzRdXfpPrQxbx583DgwAH8/fffQlkRVLzxhx9+0Ja7J+VCgRrPnj0T8sW/Jll5JF9KYzLlRag09NChQ4XJqqvgWHzoA6FFAyk4zU2OrwCp+iZjfGKj3+r/g44KT3WZGMYQDLF8LB298TriXJIWlpWTJyy89hpNpsQl5+lZSAspDA1kwbx48UJbqj4+VGCxR48e2L59u/ihThZWYoWlr4bX4cOHRZXiI0eOCD+YBlJIixcvho+Pz0fnUHVhspA0vHv3TmdlY2NjMhYWVa5s3LhxsrU0fZBBQUFo06ZNisnGJMTS2kH84epC/EGbzM8ghkk+rdv3xZwt9jr3zf7HDq3a9TFqf7NmzRL+HwpooOCFZs2aCT/SkiVLRNn66OhoDB48WPiXNAER8aFS9hSYQcrq5MmTwkpKjrKkYArygbm5uX00kjVkyBCt4nz+/Dk2bdokXlMl4S1btgglRxWGhw8fniq+a5NRWJ8LKSsyhatWrZqgnRyWVGKafh2Qqcuk0h/0JgktKt2C6sYvkFXvUl02hvlSfP38ERJTQ/hjNT/MaE3b92Nrwq9JM6P2RxYSlbQnHxNF5NFIE/mBRo8eDT8/P2HNkA9q1f/9RYmZPXu2UBjkFvntt9+EAjKUvXv3iiE+UkAaF4qnp6fY98svv4joRJKNrl2xYkUx/EjQMaRoSXaSj/xX+fLlQ4YLuqAPi35tLF261KDjySFYpUqVBKGcdFMpTNTKykp8yGQu0y8V+jIkhsaJSeFp6NSpk1iYpKFfUhQNSBFT5LOioRP6g6Zfn/djq2Hu4CLAwxkAJdb1WAzJqUJai8xkYJJy7n/qO07RgOSPpSFuKxtHYVmRstI3vJZcyGJauHChwYEK6fVzmT9/vlg0llz84VCDFBZpbEMgjf4pKAiCQiN1QRYQmZWfo7BovJeiXShaRhMBo4s6deqgfv36IvomMRwl+Hl86g9a/fIA1Nc6AFEPIbkOgqLgEEgKq7QWm8mAfI7CSi1YYRVP1jPZwhBH4JeSUkNyNAeAFJ4+ZUXQA9TEDEmzh4JcKHQ9qfB1RdbqkCqchZrCiIPHQfViO5QeSyDZfxhuYBiGSS5JKixy+KUmNOuaFkrISAvN9qY5AvHnCSSGHIUDBw5M0EaT52hIsFq1auLc1atX49ChQ5g2bVoqvAsmPpKFE5Qei6DO3hDqa12hOlUBisKjIeX/RRSQZJiMDs2JYgwnSW1w9+5dgy7wKevGUGh296hRo7TbK1aswIgRI4Rviob+yCdFE9Vo4hpBKUVo6LBp06YJrkOT4WhY8fr162LOgLu7u5itnTgChkk9FNkbQXKqJJSW+tYA4PkWocikTB9HPDEMwyRFkj4sGvL51FAa7Td2ivrUhn1YqQd9l+Qny6G++avYVrhNhpS7rVGd2Ayjy1dCP1z5e2ZazwIyKoyW6YKc6qSMaJ3UYu7Kikld6IGhyNMGygrnIDl8BfW1TlBf9IMc/SytRWPSMTTSQiMvjOmQOC2UoSTLkUCBGMePH092JwwTHylTASi+2gVF0T8gv9wF1YkyUIduSGuxmHQKpRWiuUaclNk0oM+BPg9KI5VcDFJx5EOimdc0l4l+JVMixnXr1mHHjh0iJJNhkgsFXUguv0DK+i1UV9tCfckfcq5WULhNhWSZOa3FY9IRlECA/N03btxIa1GYeLkH6XNJEYXVuXNnMY+Jck5pUid9++236Nu3b7I7ZJj4SPYeUJb7F+rgcZCDf4fq1SEoPBZCkbVmWovGpBPIH68J1mLMG4OGBCk/FaXA1wRiEGTOvXnzJqXlYzIAksISykIjoPQ6BCgzQX2uNlQ3fuXUTgzDJF9h5cyZE7dv307QFj/EnGGMgeRUHsrypyDl6wH54UyoTpaHHH4qrcViGMacFFa/fv3w/fffi8nENLk3MDBQZBROPGmXYb4USWkLZbE/oSi7A1BFQnW6ClR3R0FWc5QXw2R0DPJhtW/fXviuqMgX1UihDBOUSZjKgTBMSqDIWgtShXNQ3+wN+d4YqMK2Qem5FJKdaeaEYxgGGS9be2rDE4dNH3XoeqivdwNUEVAUHgspf09O7cQw6ZTPmjgcn169euHo0aMJ2mibKlsyTEqjyOELZYXzkLJ+A/WtflCf/Q7y+xAxn2Pd2lVoXNcb9Wu6izVt83wbhsnAFhbVi3r06JGoL6WBqmDS8GBoaCjMGbawzC2101KRAZ50Ute5BeHqdBddv4/Q1uSiwpJUfG/+kiAR1cowTAazsER9o0S/WjVpmxgmdVM7tYOywllsPJ0HrvYXEND8QwFJgta0TYUlqVYXwzDpC4MUFlX0pQzoGgVFa8qiTu0Mk9pImQri7/226NpIdzJTqoJMhSUZhsmAUYJUS4rC2nPnzi1KylOqJnr9zz//pLyEDKOD2Oi3WssqMdROVZAZhsmACitfvnw4e/asyHhBCXDJd1W+fHn2ETBphqW1g/BZ6VJa1G5l45gmcjEMk3IYrHFIOVWsWFEUTKQ1KysmLWndvq8IsNDF7I0yWtTJDln1PtXlYhgm5WCtw5glvn7+IhpwXKCtsKgIWtN2SLgrfvDYCdXJCpDDz6S1qAzDGAlWWIxZQhY+ha571J6HjvO+QqOxhcWatheuuw1l2e2AKhyq05WhvjuGUzsxTDqAM13wPKx0ixz7Cuqbv0B+Ggg4loPSg1I7FUtrsRiGScl5WGXLlk3ywgxjqkiWWaD0XA5FiUDg3V2oTpaD+sFMyDLPH2QYc8QghZW4tAhBhtndu3eNJghlzujQoYMIm3dwcECZMmWwfft2vef8+eefyJUrFxwdHUWCXrqGhuDgYNSoUQO2trZwd3fHnj17jCYrY14ocjaBsuJ5SFlqQH3zV6jP1YUc9SCtxWIYxpgK66effhJLTEyM9rVmqVatGjw9PWEsqGwJhcsfPHhQFIYcM2YM/P39heLRxc6dOzF+/Hjs3bsXISEhQnmOGDFCu79FixbCMnzx4gXGjh2LJk2a4Pnz50aT9Zdf+yBbXldkzltQrGmb2lOLtJaBJo+vXrMWlWvVQdmva4g1badm9pPkyCBZ54ai9CYo3OdADj8B1YmyUD9ZIX54pUb/KUVay5DW/ZuCDGndvynIkFr96/VhjRo1SqzHjRuHwYMH/3eSJImijhTinjVrVqQUpUqVEkrIz8/vo30tW7aEq6urkI0gxdWqVSs8ffoUN2/eRMmSJREWFiasNYKyctD+Ll26fJEPixRC4eIloMxbCq5f+8Eykz1i30cg+GgQVI8v4c7VS7CwMGh622eT1jLQl7BZ67a48VoJ5zJ1tP2Hnd8B9yxqrPprSYpPe/gSGeT3d6G60h548y+k7D9A4T4LklX2VOvfWKS1DGndvynIkNb9m4IMxu5f3zNZ71NNY7HQvKvatWsjNXn27JlQPElZcVeuXEGjRo2026VLlxbnkEVF+woVKqRVVpr91P6l9O0/QCiKorXaaNvoA6Ltm3uXoXXX7vh1wACh1GlRirUCCsqDJylAVTEUoPWHbQWkD68hiQ/1w7H4sI+26T/pw48EDcOGDYUyb2kUrfWTThl69B2IsWPGivZ4p4lrJW7T7vt/o3aXnvPWBwWJL2fuSk0S9E/b146tw8pVa9GkiV+8a/13Mc0rfTIkfdx/cqxeuy5JGa4fW4e164LQzL9pEqmdCkHptRfy/alQ3xkO1YmjULjPhSL79zAUuv7n9m8s0lqGtO7fFGRI6/5NQYbU7D9JhXXo0CFUrVr1Q+eWlti3b5/O42rWrAljExsbK6yhNm3aCP+TLiIiIuDk5KTd1rx++/btR/s0+ynjfGJomDB+8EinTp3EkhQr1qxH6TYTdO4r+LUf9m+chlerriMlOb/nKDwb905Shg0bp+Ge896U6z9wWpL9Zy9TB/3GTMOKO7on9RpPhj+TlIF+5fUa+SeW3LDVq/SA4nDNNAm9i0xFoYs/YGfot1h8vwPeqz4+L7HyPbn8T3g0/iXJ/nuPmopVwY6fVLyJrx9faSfq8v/H/XfuwUVT4d6wV5Iy9Bk9DZuffBgBkQz4caLrGH0y7Jo7DW4NeibZP30P9rzI8cn38fH7NfwHzuYZ01CkftIyDBg7HUcj8uh8v4bKoU+GtVOmo1C9Hkn2P+j3GTgX46I9N+HXINHnEK+PTx6H//b9NX4GXOt2T1KGweNn4oZUSM97SXgPDP8efGDBhJlwqd0tyf6HTpyFB9Zuie57wuvduH4D1298eG7qc90kqbC6deuGy5cvi9cUDKELejOGBl5Ur15d+Kd04ePjgyNHjmjNyx9//FGUMpk5c2aS17O3t0d4+H/54jSvyapKvE+zP77FFb90SnKGBFWQxK8HXVB7dMQLVHKPhQz5v2TBVBbj/4t4DRn0/4fXatCgbPx9mu0Prz+0a46nFyciXuqVIeptGG6FbUCezDmQN0tO5MlC61xi7ZDJThwXfyBY+/L/jfHHiDXHxT9m4Hql3v4drBX4uZZ7kteK3/rR9f8f0JOYxMfdDlLolcHeSkKLKkUSXFhOdP0P/xbCUbkyIjEHtXIsRsUcV/EvxuCp7PWxDPHOvxyo/3uQyQL4rnQ+Pe/j43uQ8LikPwsNxxSyXhksJTW8Cjkn8VknlONzZNgrqfX2L8kqFMhu/8nvW/w2g4/TrNUqvTKoVXGws7H8xHf74y9h4u9KUt/FuNhYvf2T/z8qNk7P9eO3fZ4c0dExemV4HxWNRy8ik/1ZJxYnqe9s5Lsovf2/jXyPCyEv9PdlmQ35SviIPiLPb0ayFZZGWRH37t3Dl3LgwIFPHkNvhJQjDe1t27ZNWHZJQUOFFy5cEIEZBL0mv1q2bNnEPlKkZG1plBTtJ7/Xl6KELMZndX1A1K5UR2Nk08ZISYJGjdErA+LeobF3IVx8cAMHbu5HaPh/X5YcjtlQMr8bSuYvhlL5i4nXHnmLwNY6k8H9T8lqr7f/PNkc0fTrwkhJ5mZz0CtDXmcntKmenDlXcyC//hEOV9ujzvv2kAr0hqLQb5CUNjqPXu6sv/982Z3QtbbxgpJ0sXaKo14ZXHJkRp8GpVOs/62z9PfvmjMLhjb5WPEbk/0LnPTKUDBXFoxrWT7F+j+xPLPe/gvnzoqp7XyQklxcrV+GInmyYl6XD6NlKUHlDVn09u+WNxv+6mX4SFy5FUnvS7YnjqyG+Isx6dq1K65duyaywGfKpP8BSpGKixYtwtWrV/H69WsRVdi2bVuxz83NTYTFU9BIVFQUNmzYgIsXL+oM3kgurf19RXCDLu79uw6tm/p+cR9fKkPb5v6Y0now9gQsw7PZx/Bs1jHsGbQUU1oFoH6Z6njz7i3m7VuF9gsC4D3cD/Y/l4Fbv+/gN60HRq2fgfWnduLW02Co1CqdffTs3EE4VHVB7d07tTPq+00tGaTMX0NZ4QykvJ0g3/8TqlMVIb89l2r9J5e0liGt+zcFGdK6f1OQITX7NyjTBWVq7969u3jokwIg6DQaEqRCjsaAQtMp6s/a2jpBhNu8efOEP4tKmnh4eAgF5eLiIvZNmTIFEyZMwPv374Uymjt3rjifoHB4UmAnTpwQx8+aNQvffPPNR/1+VpSgR0kocpdAQZ8m2ogYUhTqJ5dx7/qVFI8KMoYMpIzuhj7Axfs3cOnBDVx6eBOXHtzE7WchWpM9k5UNSuQrKqwxYZXl+2CZZbVzElGKijwldfZ/99plKJXKFL0H9GOp+Y/tcP2VQmdk0uoVS3X6gwy+/otdUF/rCMSEQlFwOKQC/SEpLFKtf4NkTGMZ0rp/U5Ahrfs3BRmM3b++Z7JBCotCxBs0aCB8SzQRNz400TejpWYihUHRgivWrodKpkhAWVhWf07+I9Wy2KeUDJFR73D10W2tAiNlRkOLz8Nfao9xfA5EhL6C2tEK1g8kKGQLqKU4ROeXYRelxMI+k9C8WTOkNPSHQhFIs+Yvwdt37+Fgm0n8mvNv2sQof6By7Euob/wC+dkqwLE8lJ5LINm6pVr/hpDWMqR1/6YgQ1r3bwoyGLP/L1ZYlEmCJvOm1s1PTTiXoGE8exP2wRJ7cBNj+w7HixJWgJUOKypGBe/QnDh54CjSC+pna6C+3gNQR0FRZDykfF3T5d8Cw6SLXII//PADdu3aZWy5GDMip5Mzvinhg1/rtkM228y6lRVhpcT1h3dw6PqpL8oiYUoocvr/P7VTNZFMV32+HuSoh+JX5bq1q9C4rjfq13QXa9pOzQwHDJORMCgdAvmtSGlVrlxZ5O6Lz/Lly1NKNsZEcbSzB2LeJWlhRcZGodqYVnDLVRA/V2+KNlV+QA6nbDBnJOs8UJTeDPnRAqhv9UfssTLoOtcVro63sbBLhKh8TPW45mzpgk5bVovSJ1zklGGMi0F/URTsMHDgQDFfqnDhwgkWJuPRt1tv2N/XnbOQ2hePm4GlncYju2MWDFg1Efl6VUXT6b2w69IRs7Y+aBhQka+TiCTceNIZrnbnENA8Uigrgta07WK5D+uD1qS1uAyT7uB6WOzDSjakdPxa+mNP8ClEuFh8sLRiVEJZfePqjfWBa7U+HgrgWLh/DZYf2YgXEa/hmj0fOlRrgnZVfZE3a0Jr3Zyg4b+FXc5plVV8yNKiYpIbtp1ME9kYxpz54qCLpNIypVRqptSEFdbnK601a9diypxpCI98C0c7B/Tp+gua+fvrDEiIjo3BhtO7sGD/Guy7elzkSqQ5YR1r+KNu6aqwUKZswmBjQz6rTUPuJLmfKiBv3ZeyKboYJj3y2clvNSROzUS5nijlSL58+YxaE4sxH8g/Q6HrhoavW1taoXml78Vy59l9LDqwFksOrcc/5/aJlFHtqvoJy6tgjvwwByytHYQllZSFZWXjmCZyMUx65rOGBGmyMGWWoLRHffr0gTnDFlbaERsXi63nDwira8fFwyKP2DeeXwurq5FXLVhZWMFUoWjAa7u6CJ9VYsatUMPd63s07bYGkuLDRHaGYVJpSDCpiatkYVH9KXOGFZZp8ODFEyw+uA6LDq4Tr7M7ZkWbyj+IKMNieT5kmja1IdFO7fxEgEW3Bh8CL8iymv2PHUJeZcPcrvchOZSE0mMpJIeUy+fHMOmNL56HpYvdu3dz2C5jNPJny40Rvj1x78992NZ/ASq7eWHqzmVwH1BHhMivOLIJ72M+pAWLrzRWrV4N72qVUKxcSbGm7dSIRKTvPoWue9SeJwIsyGdFa9peuO4OlGX+AWLCoDpVCergiZBl46QwY5iMjEEWFpWuj+9If/funZibNXv2bJGE1pxhC8t0efr6OZYeWo+FB9biTuh9ZLZ1RGufhmLIsEQ+N/i2aIq9Iad1RioG/b0mzX9QybEvRIYMOXQd4FQJSo/FkGyLpKlMDJPuhwQT17Gys7MTGdEpZZO5wwrL9CGL6eD1k8LXFXRqJ2LiYlE4OgseBj9AdLGPSxrY347Ggl8npko+w08h6po9Ww31jZ6AOgaKohNFNnhO7cQwqejDSi+wwjIvXrx9hb/+3YSA7n0R5ZXZbPIZylGPRPZ3+eVuSFm/g6L4fEg2edNaLIbJGD4shkkLsjlkQe86beGSJbfefIY0N8yUIOWkKLMVimLTIb8+DNWJslA/XZ3WYjGMWcEKizFLaKIyWVI6iVHprVadtqmduorUTrB1g/pKa6gutRJlTBiG+TSssJh0l88QN97gssVT/DinH24+uQdTQ7ItCqXXASgKj4b8fD1Ux8tA/WJnWovFMOavsGiSMCW5jY6OTh2JGMYA/Js2FdGAFGChtbQoSvB2NOoW/Rr9u/bG+tO7UXxAXbSZOwC3n4bAlKDqxQrXQVB6HwUss0J9/nuorneHHBeR1qIxjPkqLCp1TguFsTOMqUAh6xS6TtGAFGBR7Ia1WNP21rWbMLHFANybsg+/1m2LtSd3iPlc7ecH4G7ofZgSkkNZKL2PQ3LpI0qXqE6Wg/zadIJFGMaUMChKkOZbbdq0CYMHDxbZLeKH5BYqZHpZCJIDRwlmjPlcE7cswJy9gYhTq9CmcmMMbdxNZI43JeRXh6G62gGICoFUoB8UhYZzaicmw1FO3zNZNgBJknQuCoVCNgZRUVFy+/btZRcXF9ne3l4uXbq0vG3btiSPX7p0qfzVV1/JDg4Oct68eeX+/fvLsbGx2v3VqlWTra2tZTs7O7G4ubkleS0vLy+jvAfG9Hn88pnca9lo2bqtp2zxU3G548IhcvDzh7IpoY4Nl+OudpZj91jIscfLyurwC2ktEsOkKvqeyQpDJ27qWsi/ZQwoLyFl06AJym/evBGJdf39/REcHKzzeMq0MXXqVISFheHEiRPYu3cv/vjjjwTHzJw5ExEREWK5ceOGUeRkzJvcWXJg2k9DcWfyHnSp2RzLDm9A0b7foeuSESJ/oSkgWThAWXwuFKU3AjGhH1I7hfzBqZ0YJrlRgg8ePMDx48eNLgRlzhg5ciRcXV2Fb+L7779HwYIFcebMGZ3Hd+3aFVWqVIGVlRXy5s2LVq1a4d9//zW6XEz6hApHzmgzHLcn7xHJdRcdWIcifb9B96Uj8fCFaSRzVjjXh7LCeUjO30N9OwCqMzUhv0u6/hbDZAQMUlj379+Hj48P3N3d8c0334i2devW4eeff04RoZ49e4abN2/C09PToOMPHTr00bEBAQFwdnYWch84cCBF5GTMP+Hu7HYjcXvyblGPa/7+NSjctxZ6LR+Nx6+epbV4kKycoSi5CgrPZUDkFahOekH9aIFI98QwGRJDxhTr1Kkjjx07VlapVHLmzJlF2+vXr4XPydjExMTItWrVkjt16mTQ8YsWLRJ+rOfPn2vbjh8/LoeHhwvfGPm7yC92+/ZtnefTe6AxU80yb948o70Xxry4F/pA/nnBYOHfsmlbQv5l+Rj5yatQ2RRQv78vx52tLXxbcecayOqox2ktEsMYDXruap7B+vSKQQora9asQlkRWbJk0bY7OTkZJAwFQZBu1LX4+Phoj6M+mjVrJtetW1cork+xYcMGOUeOHPLFixf1Hle7dm15+vTpOvdx0AWTmDvPQuT28wNk5Y/uQnH1WTFOfvr6vx9EaYVarZJV92fKsfsc5NgDOWTV07Xib2btmkC5UZ1ycr0axcSatjV/rwyT4YIucubMidu3bydou3r1KlxcXAyy4mhI7v/K8aPlyJEjGksPHTp0EMOBQUFBn0yts2PHDnTs2BH//PMPSpYsqfdYCsPnYRTGUArlcMGijuNwfeIONKtYD1N3LEPBX2ui/98T8Dw87dIoSZICivzdoSx/CrAtjLiLzfGzXwFc29UZC7ucw6Yhd8SaKiFTccnUqAvGMKmJQQqrX79+IhBiyZIlIqIvMDAQzZo1w8CBA40mCAVSXLt2TSigTJky6T123759ItCCFFv58uUT7Hv9+jV27twpJjqTrCtXrhQ+rjp16hhNViZjUCRXASztPAHXJ+1Ak/K1MWX7Erj+WgMDV01C2NuXaVZAUrIrBqXXIWy61QQFszxGQPN3ouIxQeuA5pGiEvL6oDUpKgfDpDYGlxehicPz5s1DSEiICEHv0qULGjdubBQh6JoUIWhtbQ0LCwttO/VHiomCPjw8PLRWXY0aNXD48GHY2Nhoj6Wowe3bt+P58+eoV68erl+/LjJ0UKDI6NGj8e233+rsmycOM4Zy4/Fd/LZxFgKPbYGtVSbkuSHjcewrRBawTJMCko3reguLSqOs4vM6QhYVkDdsO5miMjCMseF6WHpghcUkl6uPbqPDsJ44fvYUUCJrmhWQrF/TXQwDJkWjsYWxdd/1FJWBYUyyHtbixYuFlULh47RetGgR+4WYDIlH3iKIu/MacHPSuT/CxQJT5kxLcTksrR2EJaULareycUhxGRgmNTFIYQ0YMAATJkyAr68vJk2aJNaUWcKYPiyGMSfCIyP0FpB8Gf46xWVo3b4v5myx17lv9kYZLaq8gBxxOcXlYBiTUlhLly4V6Y8oMIL8Q7TetWuXCMJgmIyIo5293gKSd188RO+/xqboBGRfP3+ExNTAuEBbraVFa9q+H1UeP3wdBdXJClCHTOHUTkzGUVgODg5iSdzm6OiYUnIxjNkWkLQNiUGV2jUwc/cKEQ5PKZ/uhz02ugwU1DF/SRA8as8TARbks6I1bS/4+ygsKl2A5FwP6tsDoTr7LeT3plfMkmGSg0FBFzNmzMDGjRsxaNAgUV6EcgrS0GCjRo2ExWXOpUY46IL5HCh03a+lP/YEnxI+q8RRgusD1+Le8wcY/898LD20QZzTpkpjBDTsLOZ5pRZivuPTFVDf6E1SQ+E2GVLudglKBDFMuooSNCQ8l/4AjJW9PTVhhcV8idJas3atCLAIj3wLRzsH9On6C5r5+ydQCGRdTdy6AAsPrEWcSoVWXzfA4IZdUCxP6v3Ak6PuQ321A+RXByA514fCfS4k61yp1j/DGAqHteuBFRaTWpA/a9LWRZi3bxWiY2NEFo0hjbrCM1/RVOlfltWQH8yE+s4QQGkHhftsKHL4pkrfDJOqYe0Mw3wZebLkxJ+tB+Pen/vQr34HbD67DyUG1UeTaT1xPuRq6qR2cukFZfmTgE0BqC81g+pKG8ixKR/RyDDGgBUWw6QyOZ2cMaF5fwRP3ScsrN2X/0XZIY3RcHIXnLpzMcX7l+yKQ1nuCKSCwyA/Ww3VibJQv9yb4v0yzJfCCoth0ghnh6wY0/RXhEw9gFF+vXDk5hmUH9EEdSd2wNGbZ1O0b0lhCWWh4VCWOyyGB9Xn6kB1ozdk1bsU7ZdhUlxhcdZnhkk5Mts5YvgPPRD853787t8Xp+9dhs9vzVFr3E84eC1lcwFKjt4i+7uUvyfkh7OgOukN+Q3nH2TMVGFR5B+VsI+Ojk4diRgmg+Joa49BDTsLxfVHy4G48ug2qo9tjaqjW2L3pX9TLBWapMwEpdsUKMruAlTvoTpTFao7IyGrY1OkP4ZJMYVFGc/d3Nzw4sWLz+6EYRjDsbOxRd96HURwxvSfhuJu6AN8N6EdKo30x9Zz+1NMcSmy1oCy4jlIOVtADh4L1WkfyBEpHwzCMEYdEqQSH1QPa9myZSJFE9Wj0iwMw6QMmaxs0PO7n3Bnyl7MaTcKT9+E4fvJnVFumC82nt4thuqNXZNLsnCC0nMJFCXXAFEPoDpVHur7U0VIPMOkNQbNwypYsKDukyUJd+/ehTnD87AYcyE2LhZ//bsJ4zbNxZ3Q+yiRzw02Z17j+tsHOrNtfGlNLjn6GdTXu0AO2wJkrgqlxyJImVyN+p4YJjE8cVgPrLAYcyNOFYdVx7ai/8TheHr/UYrW5BKpnZ4sg/pmH7GtcJsCKXcbTu3EmPbEYSo3T6XmAwMDRbVf2mYYJvWxUFqgdeVGyPs6U4rX5CLFpMjTFsoKZwGHslBf6wj1RT9hfTFMavNfPXo9ULn5Bg0a4P3798ifP79Ifkvl6f/55x8UL1485aVkGOYj3r6L1FuTi/IbGgsaClR+tRvyg2lQ3xkmJhtTaic4N8T6oDVYsXgyYqPfiqKSVKeLSp98yXAkw+jCoG9Ut27d0KlTJ6Gojh07hocPH6JLly6inWEY06zJZWlpmQKpnX6F0vsEYJMXcRea4OcmBXFtV2cs7HIOm4bcEetru7qgUzs/nr/JpI3COn/+PPr06ZNg3Lp3796inWEY06vJJd18g2tWoRi3aY7weRkTyd4TynL/YuONxiiY+SECmr9DZvsPzwZaBzSPhIvlPmF5MUyqK6w8efLg4MGDCdrIj0XtxoImJnfo0AEFChQQxSHLlCmD7du3662CTHPE7O3ttcuBAwe0+4ODg1GjRg3Y2trC3d0de/bsMZqsDGMK+DdtKqIBKcBCa2lRlODtaNQp8jV8fX0xZO2fqDjSH5ce3DBq35LCCn9vDUHXRrqDL7o1iMTKJVOM2ifDGOTDGjduHBo2bCjmYpFCCQkJwdatW7FixQqjCUJBHOQfI8Xo4uKCbdu2wd/fH5cuXYKrq+5Q2kqVKuHIkSM697Vo0ULsp+vQ0qRJE9y6dQvZs2c3mswMk5aQj4hC1z+qyfXrfzW51p3cgW5LR8JrqC+G/9AdA7/vCEsL4wwVks9KY1klhtpjosKN0g/DJMvCIkV17tw5lChRAm/fvhXrM2fOiIrDxoLSP40cOVIoJ/pDpD5p/hf1k1xu3ryJs2fPYtSoUciUKRP8/PxQsmRJBAUFGU1ehjEF6G+FQtdPHjiK66cuiTVta4bvm5Svgyvjt8HX+1sMWzdVWFsX7183St8UYPE6QvesGGq3snEwSj8Mk+xcgmT1DB06FLNnzxZrSteUkjx79kwoHk9PzySPISXq7OwsZBk9erQ21P7KlSsoVKiQGFrUULp0adHOMBmN7I5ZsarHVKzrNQMPXz5FuWF+GL1hlpiI/CVQNOCcLfY6983eKKNFlVeQI699UR8MY/K5BGNjY0U6qDZt2gj/ky6qVq2Ky5cvIzQ0VFhOND9s0qRJYl9ERAScnBLOT6Ftsg4T8/z5czFRTbPMnz8/hd4Vw6QtfuVr48qErfDz/g7Dg6ahwoimuBDy+QqFQtdDYmpgXKCt1tKiNW3ff18OP3z9FqqTlNppOqd2YvRCz13NM5ieyUkiG8CECRPksmXLykuXLpX37Nkj7927V7sYSrVq1egbrXPx8fHRHqdSqeRmzZrJdevWlWNiYgy+fmBgoPzVV1+J1+vXr5eLFy+eYH+PHj3EkhgvLy+D+2CY9ELQyR1yjq4VZYufisuj1s+QY2IN/1uLD/29rl0TKDeu6y3Xq1FMrGlbrVbL6qjHcty5hnLsHgs57sw3svp9iNHfB5P+0PdMNqlcgiRK+/btRYQfBUqQ/8lQVq9ejQkTJgjfFQ0llipVSmhqzbAgWWQtW7YU88fiw6mZmIzKi7ev0OuvMfj76D8oU6A4lnT6HWUKeBi1D5Ha6fFiqG/1EwM6imJ/Qsr1I6d2YpJE7zPZkF9QZFVFRUXJKU3nzp3lChUqyG/fvv3ksdu2bZOfPn0qXl+7dk329PSUR44cqd1P1+nbt6/8/v17YXE5OTnJoaGhH12HLSwmo7Ph1C45Z7dKwtoasW6aHB0bbfQ+1O/uyLGnqn2wti74yeroZ0bvg0kf6HsmGzQkaG9vL6c0wcHBYnjQ2tpatrOz0y4rVqwQ+0NCQsQ2rQlSRjly5JBtbW3lggULysOGDUswhHjv3j0xDGljYyO7ubnJu3fv1tkvKyyGkeWw8Jdy69l9ZbQqKpcOaCCfC75i9D7U6jhZFfyHHLvXVo49mEdWhW4yeh+M+fPFQ4L169fHsGHDULFiRaQ3eEiQYf5j85m96Lx4OMIiXmFww84Y0qgrrCysjNqHHHEJqittgYiLIvO7yABv4WjUPpj0+Uw2aOIwTRauW7eumHdFk3vjjz//9ttvxpOUYZg0paFXLVQu5oXeK8bitw2zsPHMHiztNAFlXY3n25LsS0LpfQzqe6MhB0+E6tUBKDwWQZGlmtH6YDLwxGHK0t64cWOhqCjxLSXB1SwMw6QvstpnxvIuk7C5z1w8D38F7+F+GL5uGmLiYoya2klZeDSU5Q4AkiXUZ7+B6mY/yKooo/XBpD+4gCMPCTJMkryKfIPef43F8iMbUTJ/MRFJ6FWwhFH7kFWRUN8aCPnRPMDOA0qPxZAcvYzaB5PBCjhSTSzKJtGjRw+xfePGDVy8eNF4UjIMY3JksXPCsi4T8U/feXgR8UpMNh669k9ExxrR2lLaQek+E4oyW4G411Cdrgz1vbGQ1VwklvkMhbV27VpUqVIFjx49wvLly0UbZY2gkiMMw6R/vi9bA5fHb8WPPo0wdtMclBvmi9N3L4maV6tWr4Z3tUooVq6kWNP259TCUmT7DsoK5yDlaAL13ZFQnakKOdK4WeaZDDAkSFWFV61aJfLxZcmSBa9evRLpk6i8iN40GmYADwkyTPLYdv4AOi4aiqevw1D4njWexL1GhIvFh+rHVN7kfpwoe0KZ5D+36rD62Rqor/cA1FFQFBkHKV83UUCSSf988ZAg5eujzBGEJkKQ1jxbnWEyHvXKVBcZ4KtkKoZbEY8QUcT6g7IirJRie0/wKVH25HNR5PSHsuJ5SFmqQX3zV6jP14McxUFeGR2DFJaXlxf++uuvBG1kcZUvXz6l5GIYxoTJbOeIyBuhgFvCJNMayOKiGl1fgmSdB4rSm6EoNgvy62NQnSgL9ZOVIt0TkzExaB7W9OnT8d1332HRokWIjIxE7dq1Rb6+Xbt2pbyEDMOYJOGREf9ZVomxUoqCkl+KGMnJ1wlS1ppQXW0P9dW2kJ5vhsJ9FiQr5y++PpMOFRaV+KAowS1btojCijR5mNZUlp5hmIyJo509EPNOt9KKUSFOVongi8/1Y8VHsi0Cpdd+yCFToL47AqoT/0JRfB4UzvW/+NqM+WDwN8nW1laUrO/fvz+aN2/OyophMjh9u/UWARa6UNwKxx1bCoNvgv1XjxulP0lSQuHaX2TJgFV2qC80hupaZ6hi3mDd2lVoXNcb9Wu6izVtf06kImPacNgNwzCfhX/TpiIa0P52tLCoBBQleDsaDdyqYumYWXgW/gI1x/2EepN+xsX7143Sr+RQGkrv45AK9Ifq4WJ09M2La7t+xsIu57BpyB2xvrarCzq182Ollc5ghcUwzGdBQ30Uur7g14nwDs2JYjesxZq2N6xahzZVfXFz0i5MajEQx29fQJkhjdB23kDcD3v8xX1LCmsoi4zDpkdDUDBHFAKaRyOz/YeoZVoHNI+Ei+U+rA9aY4R3ypgKnJqJ52ExTKqkePp98zxM3/Uh8UCv735CQMPOIpPGl0DDf2RRaZRVfF5HyOg47yts2Hbyi/pgzGwe1rRp0xAWFmZsuRiGySCQYprYYoCwuJpXrI8/ti1C4T7f4I+tixAVE/3Z142NfqtTWRHUHhMV/gVSM6aGQQpr3759cHV1FZGBVIo+Ovrzv2AMw2RcXJzzYGnnCTg/dhMqFimN/oET4Nb/Oyw/vAEq9f/9YMnA0tpBWFK6oHYrK2sjSM2YlcLatGkTQkJCRE2sqVOnIleuXPj5559x6NChlJeQYZh0RykXd2zrvxD7Bi9HTsdsaDNvIL4a2hjbLxxM1sTg1u37Ys4W3RHLszfKaFHxJtQP5/Bk44wWdJEtWzZ0794dx44dw8GDB3Hq1CnUqFFDWF5jx45FREREykrKMEy6o4ZHRZwYtQ6revyJiKh3qDepI2r93kYk1jUEXz9/hMTUwLhAW62lRWvavh/3HXwbVof6Ri+oz9eHHPUohd8NY1JBF3v37sWKFSuExUWOsTZt2sDFxUX4uJ49e4bDhw/D3OCgC4YxDahA5Lx9q0Sl47C3r4Sva0zTX1E4p4ve8yh0naIBVy6ZInxWVjaOaNWuD/yaNBP7qc4W1duCwgqKYjMg5WzGeVDN9JlskMLq16+fyB3o5OSEn376Ca1bt0bevHm1+ylzO2VxN0crixUWw5gW4e8iMGnrQkzZsQSxcXHoUqs5hjXujuyOWT/7mvK7W1BdaQeEn4CUoykU7jMgWWYzqtyMiUQJRkVFYcOGDbhy5QoGDhyYQFkRlpaWX/TQpyCODh06oECBAnBwcECZMmWwffv2JI/v0qWLyLShWaytrcV5GqpXrw4bGxvt/mLFin22bAzDpC6OtvYY3bQ3bv+xG+2q+mL2nr9RuE8tUYcrMurdZ11Tsi0KpdcBKAqPgfx8I1THy0AdlvQzhjFNTGIeFiXUnTRpEtq2bSuGGLdt24YWLVrg0qVLwkf2Keg8msS4ePFircIiK5ACQz4FW1gMY9pcf3wHAasnY+OZPcidOQdG+fVEu6p+sFAalAr1I+S356G60haIvAIpz89QFJ0EyYJTzZkK+p7JBn3iVG1Y15gvWTb58uWDr68vGjRo8NkC2tnZYeTIkdptCp8vWLAgzpw580mFRcouKChIJOZlGCb94Z6nMDb8Ohv/3jyDAYGT0GnRMEzZvgS/+/dFI69vRAQg1d6aPHuqyCBPSXkpzyGljtKVeFdyKCNSO1FVY/n+FKhe7YPSYzGkzD5p8v4YwzFoSJAsluDgYFSrVk1YLrSmMHfShDlz5kT79u0xceJEGAsK4KDyJZ6enp88lpRV9uzZUbVq1QTtAQEBcHZ2ho+PDw4cOJDk+VQxmd6HZpk/f75R3gPDMMbFx80LR4YHYkPvWUJJ/TC1OyqPao7qDb5Fxz8H4HTOUNx0jxZr2vZr6Z9kLkFJaQNl0fFQfrUPkGWoztSA6vZgyGqeY5oW0HNX8wzWW8VeNoDy5cvLV69eTdB27do10U6cOHFCLlSokGwMYmJi5Fq1asmdOnUy6PiaNWvKI0aMSNB2/PhxOTw8XI6KipKXLl0q29vby7dv39Z5vpeXl1HkZhgm9YiNi5Xn7Q2Unb5zk1E6m4xWRT9a7Cu4yIGrVn3yWurYcDnuamc5do+FHHu8jKwOP58q74GRk/1MNsjColpYhQoVStBGARI3btwQr6nyMFlF+iw0UYhNx1K5cmXtcfRr6Mcff4SVlRVmzpz5Sbnu378vrCeKXIxPhQoVRBAGDVlS6D1ZWeQXYxgmfUD+q041m6PQu8xfXPVYsnCAsvhcKEpvBGKeQ3WqEtTBEyHLyc+8waQsBiksGm5r164dbt++LSIGad2xY0etsqHgiNy5cyd5PikVMuF1LUeOHBHH0GuKFCTFR8N8FHn4Kf766y+hjBIr08SQYjSB2BKGYYxM5PskCkh+RtVjKgaprHAeknMDqO8MEcOE8rs7xhOWSR2FtWzZMmH9eHh4iAAJ8i2pVCosXbpU7CeLKDAw8IsE6dq1K65du4Z//vkHmTJlMuic5cuXiwjB+Lx+/Ro7d+4UijUuLg4rV64UKaTq1KnzRfIxDGOqVY+TsIRiVHCwtUvW9SQrZyhKroLCcxkQeRWqk15QP5zPP3jNRWGRYqL8gaScSAk8fvwY79+/FwqKghoImudEzrLPhQI45s2bh/Pnz4s8hZr5U6RsNEN/tE1rDZQi6uHDh2jatGmCa9Ek5qFDh4pADJJvxowZ2LhxI9zc3D5bPoZhzK/qMW68QWjWWFwIuZasa9KIjCJXSygrnIPkVBHqG92hvtAAcvSX1/FiUmEeFj34Q0NDdYaImjs8D4thzBca+aFowD3Bp4TPSgwPUtXj+3HwzFwA9wrF4lVkOIb/0B2DGnRK9twtWVZDfjgH6tsBgMIGCveZUOT0T7H3w+DLM11QUMPcuXONLRfDMEyKVT0+tv0grk7YBj/v7zBs3VRUGumPq49uJ+v6kqSAIn93KMufAmyLQH25FVSXW0OOfZli74n5QguLgitOnDghUjLlz58/wSRicy8xwhYWw6R/1p3cga5LRuBtVCRG+/VGn3rtoFQkEayRBLI6DnLIRKjvjQYss0PhsQCKbLVTTOaMSrkvTX5LQRdJQWHj5gwrLIbJGDx7EyaU1obTu/F10a+wtPN4FM316dRviZHDz0J1tZ0IypDydgIKj8eGjVuxYvFkUQGZikpSnS4qfZIe3Sgmr7DSM6ywGCbjQI+7v4/+gx7LfkN0XAzGN+uHHt+2TrZikVVRUN8dBlXwVHSZZoOCuWV0/T4Kme0lUY+LikpSna75S4JYaaW2D4s+5AULFqBmzZooVaqUdihwzZo1yZWFYRgmzSB3RiufhrgyYStqFK+AX/4aIwpG3gt9kLzriNROk7DpUQAK5niPgObRQlkRtA5oHgkXy32iThdjPAxSWMOHD8eiRYvQqVMnbWg5Jb2dMGGCEUVhGIZJHfJkyYkt/eZjUcdxOHPvMkoNboh5e1cle77VytXb0bWR7n3dGkSKopJMKissmoNF2dCbN2+uDbigbOp37941oigMwzCpBz3L2ldrgsvjt6JikdLosmQ46kzsgAcvnhh8DfJZaSyrxFA7VUBmUllh0eRhmrhLaBQWVRfWtDEMw5grLs55sGvgEsxuOxL/3jyLkgHfY+mh9QZZWxRgQT4rXVC7lbV1CkiccTFIYdWrVw99+vQRlYEJ+iCHDRv2RTWwGIZhTAX6Id71m5a4MG4zSuUvhnbzB6HRlK548ipU73kUDUgBFrqYvVFGi4q3oH60kFM7pabCmjJlCp48eQInJye8efNGWFaUTol9WAzDpCcK53TBgSErMKVVAHZf/hclAr5H4NEtSSocCl2naMBxgbZaS4vWtH0/7hv4fu8D9fWuUF9oDDn6aSq/m/RHssLaKT0TKSqaPEw5/9IDHNbOMIwubjy+izbzBuLEnQvw866NOe1GIbtjVp3poSgakAIsyGdlZeOIVu36wK9JMxqPgvxwFtS3BwNKOyiKzYIip1+avJ8MNw+LFBb5ruLzqdIepg4rLIZhkiJOFYc/ti7CiPXT4WTrgLntRsHXO/nZLeTIa1BdaQe8PQMpVwso3KZBssySIjIjo8/D2rFjh0jLRFZVkSJFtEvRokWNLSvDMIzJQMlyBzXsjDOjNyBfllzwm9YTrWf3w8uI18m6jmRXHMpyh6EoOBzyszVQnSgL9Ys9KSZ3esUghdW9e3cRZBEZGSnMX81C0YMMwzDpnRL53XBi1FqM9O2J1Se2ocSg77H13P5kXUNSWEJRaBiU5Y4ASgeoz9eF6sYvkFXvUkzuDKmwXr16hc6dOxtcWJFhGCa9YWlhiRG+PXFi5Fpks8+M7yd3Rvv5AXgV8QarVq+Gd7VKKFaupFjTNv2o14XkWA7K8ich5e8F+eFsqE56Q35zItXfjzlikA+rf//+KF68ONq3b4/0BvuwGIZJLtGxMRi1fgbG/zMf1mdfQ7K3xHtX6wT1uL5x9RalT/TlElS/3A/11Q5A9CNIroOgKDgEksIKGZlyX+rDOn78uChhT1V7q1atmmBhGIbJaFhbWmFcs74YVb4Doq3VeO9m+0FZEVZKRBSxFkUl16xdq/c6iqw1oKx4DlLuVpCDx0F1ujLkiCup8ybMEC4vwhYWwzCfCQ3/nc4Z+p+yik+MShSTPHngqEHXUoduFHO2oHoLReHRkPL/IgpIZjTK6XkmG1Qv2tyVEsMwTEoQHhmhW1kRVkqER741+FqKHI0hOVX6MNH41gDg+RYoPRZBypT8ml3pFb3qu1evXgm2KWN7fPz8jDsBrnXr1sidOzccHR3F8OPChQv1Hv/nn3+KUHs6nvxrmtRRRHBwMGrUqAFbW1u4u7tjzx4OIWUYxrg42tkLS0onMSq8i41CbFyswdeTrHNCUSoIiuILgLfnoDrxFdSPl3BqJ0MUFmVpTxx8EZ/du3fDmAQEBAhFEx4ejs2bN2Po0KE4c+aMzmN37tyJ8ePHY+/evSL7BmWOHzFihHZ/ixYtULZsWbx48QJjx45FkyZN8Pz5c6PKyzBMxqZvt94iwEIXylsReOAYAa9hvjh682yy8hoq8rSFssJZwKEs1Nc6QX3RD3L0M2R09CqsxFo9pbW8p6cnrP+f3Zg+NFru3LmTpF+tQ4cO4pwsWbKIeWIaBXvz5k2cPXsWo0aNEqH4ZAmWLFkSQUFBKSo/wzAZC/+mTUU0oP3t6P8sLYoSvB2N790qY/3kZXgV+QY+vzXHzwsG48XbVwZfm4YClV/thqLoJMgvd0F1oozwc2Vk9CosTSmRpLZTgm7dummH8Wh4kDLF6+LKlSsoXbq0dpteP3v2TFhUtI9SRjk4OCTYT+0MwzDGgkLWKXR9wa8TRYBFsRvWYk3bG1atww/e3+HaxO3oV68Dlh7egGL9a2PJwaAk52glhoIuFC69ofQ+Cdjkh/pSU5HiSY57g4yI3qCLuLg47N+/X2tZJd5OiUwXs2fPxowZM3Ds2DEcOHBAa3ElhnIaUvZ4DZrXb9++/WifZv+jR48+ug4NE1JUigaqqkwLwzCMoUqrebNmYtGFvY0dJrUciJ+qNEbXJSPQfkEAFh9cJ5LpUgYNQ5DsPaAs9y/U98ZCDhkP1auDUHgshCJrTaQH5s+fLxZCn+tGb1i7q6vrJ62qe/fuGSRQ9erVcfDgQZ37fHx8cOTIkY/au3TpAg8Pj4+CPzQW05AhQ+Dv7y+2ybJydnZGWFgYDh06JPZdvXpVe3zPnj3FmpRhfDisnWGY1IIsq6WH16N/4ESEv49An7rtMLxxd9jZ2Bp8DfnNSaiutgPe3YSUvycUhcdClqxFxvgViyeLKshUWJJqdVH5E30Tl9NVWDsFQBgLspaSC1l0SfmwyHd14cIFrcKi1zlz5kS2bNnEPgrCIGtLMyxI+1u2bPmF74JhGObzIeXRvloTNPyqJgau+gMTtyzAqmNbMf2noWjk9Y1B15CcykNZ/hTUt4dAfjADsc93oessZ7jancfCLhHIbC+JmlxztnRBpy2rMX9JkNkpraQwmXdBpUtWrVolhvNoqJGiAAMDA1GrVi2dx//0008izJ6sqNevX2PMmDFo27at2Ech8WXKlBFBF1FRUdiwYQMuXrxo9DB8hmGYz8HZISsWdRyHw8P+hmMmezT+sxsaTu6CkLCP3Ra6kJS2UBb7E4qyO7Bx3zO42hxGQPNIoawIWtO2i+U+YXmlG2QTITQ0VK5atars5OQkOzg4yCVKlJDnz5+v3R8SEiLb2dmJtYbJkyfLOXLkEMe3bdtWjoqK0u67d++eXK1aNdnGxkZ2c3OTd+/erbNfLy+vFH5nDMMwSRMTGyNP/GeBbNu+lJypXUl5/OZ5cnRstMHnN6pdVn6+USnH7rH4aKH2xnW9ZXNC3zM5WQUc0yPsw2IYxhS4H/YYv/w1BhvP7IFH3iIiKKOqu/cnz6tf0x2bhuh2nRCNxhbG1n3XkWGS3zIMwzApi4tzHmz4dTY295mLyOj3qDamFdrNG4Tn4S/1nmdp7SB8VrqgdisbR6QXWGExDMOYEA2+qokr47diUINOWHF0s5i7tWB/0vW1KBpwzhZ7nftmb5TRsnG5dJPaiRUWwzCMiUFh7r8364cL4zajZH43dFo0DJVHt8CFkGsfHUuh6yExNTAu0FZradF6XGAmhLzMisaF5osJx3JMKMwdVlgMwzAmCvmyDgxZgWWdJ+DW02CRl7Dvyt/x9n2E9hgKWafQdY/a89Bx3lfCZ0Vrj9rzsWDDEygptVPYdqiOl4X6+WaYMxx0wUEXDMOYAS8jXiNg9WTM378aebPkxLQfh8LX+zuDUubJEZehutIWiLgAKXcbKNymQLIwTd8WB10wDMOYOVntM2Neh9E4OmI1nB2yoMn0nvj+j064G3pf+LdWrV4tCkoWK1dSrGlb4/eS7EtA6X0UkmsA5Cd/fShb8kp35iFThi0strAYhjEz4lRxmLHrLwwPmi7qbRW8a4WHMS8Q4WLxoaAkZYy/HycyyVNy3viZLuQ3x6G60h54f0tUNVYUHgNJaQNTgS0shmGYdISF0gK/1m2HaxO2o7SUH9fD7yOiiPV/1Y+tlGJ7T/AprFm7NsG5klNFKCucgpSvK+QH06A6VQFyuO66g6YGKyyGYRgzJV+2XFDffQ24JaxOoYEsrilzpn3ULintoCw2HYoy24C4N1CdrvwhE7xadzFKU4EVFsMwjBkTHhnxn2WVGCslwiPfJnmuItu3UFY4BylHE6jvjoTqTFXIkTdgqrDCYhiGMWMc7ez/q3acmBgV7DLZ6T1fsswCZYm/oCjxN/DuDlQnvaF+MBOybFiRydSEFRbDMIwZ07dbbxFgoZMbb/DI6R2O3jz7yesocjaFsuJ5SFmqQ33zV6jP14Mc9QCmBCsshmEYM8a/aVMRDWh/O/o/S4uiBG9HwydvKdgUziayZAwInIiomGi915Ksc0NRehMU7nM+RBOeKAv1k5Umk9qJFRbDMIwZo1AoROj6gl8nwjs0J4rdsBZr2j68dS8u/f4POlb3x6StC+E17AecuXdZ7/VoIrIi789QVjgL2JWA+mpbqC81hxwTlmrvKUnZeB4Wz8NiGCb9s+PCIfy8cAievgnDkEZdMKRRV1hZWOk9R5ZVkO9PhfrOcMAyCxTF50HhXD9F5eR5WAzDMBmcOqWr4tL4LWj59ff4bcMsVBzhj0sP9EcESpISigJ9oSx/HLDKCfWFxlBd6ww5LunIw5SEFRbDMEwGIYudE5Z3mYQNvWfh0atn8Brqi/Gb54nMGfqQ7Et+SO1UYCDkx0tFaif51WGkNqywGIZhMhiNy32Ly+O3opFXLQSsmYzKv7XAjcd39Z4jKayhLDIGSq/9NPMYqrO1oLo1ELIqKtXkZoXFMAyTAcnumBVrek5DYPcpuPk0GGWGNMK0HcuSLBSpQcr8NZTlT0PK2wny/SlQnaoI1ZszWLd2FRrX9Ub9mu5iTdufulZy4aALDrpgGCaD8+RVKDotHoYt5/ajmnt5LOn0OwrmyP/J89QvdiLu8s/oMuEJCuaxRNcGschsL4kCklQFmQpLUq2u+Ml300XQRevWrZE7d244OjrCzc0NCxcuTPLYZcuWwcvLSxybL18+DBgwAHFx/43BVq9eHTY2NrC3txdLsWLFUuldMAzDmB+5s+TA5j5zsbjj7zgbfAUlAxpg/r5Vn5x/pchWG5uejEDB3EoEtIgTyoqgdUDzSLhY7sP6oDVGk9NkFFZAQACCg4MRHh6OzZs3Y+jQoThzRncG4Xfv3mHq1KkICwvDiRMnsHfvXvzxxx8Jjpk5cyYiIiLEcuOG6ebGYhiGMQUkSUK7an7Ct1WpaBl0XjwcdSf+jIcvnuo9b+WyeejaUHdqqG4NIrFyyZT0p7A8PT1hbW2tvXG03LlzR+exXbt2RZUqVWBlZYW8efOiVatW+Pfff1NZYoZhmPSHi3Me7BywGLPajMDhm6dRIqA+lh/ekKS1FRv9VmtZJYbaY6LC05/CIrp16wZbW1u4u7uL4cF69eoZdN6hQ4eEwktssTk7O8PHxwcHDhxIIYkZhmHSHwqFAt2+bYULYzejZD43tJk3ED9M7YZnbz7OdmFp7SB8VrqgdiuLOKOldjIphTV79my8ffsWhw8fhq+vr9bi0sfixYuFg65fv37atgkTJuDu3bt49OgROnXqhAYNGiRprT1//lw4+TTL/PnzjfqeGIZhzJUiuQrgwNAVmNxyEHZcPAzPgfWw9sT2BMe0bt9XBFjoYvYmCS0q3YP6ckvIsS+S7Ieeu5pnMD2Tk0ROBapVq0bqVefi4+Oj85zOnTvL06ZN03vdDRs2yDly5JAvXryo97jatWvL06dP17nPy8srGe+EYRgmY3L14S3Ze5ivjFZF5eYzesth4S9Fu0qlkjv81Fge1cFRfr5RKcfusRBr2u7wUyM57u54OXZvJjn2UD5Z9XzrJ/vR90y2QCrwOUNyFPWXlFVE7NixAx07dsTWrVtRsmRJvdcif1gGj95nGIb5IornLYKjI1ZjwpYFGLV+Jg5cO4n5HUajwVc1Reg6RQN2nDdF+KysbBzRql0fDGvS7MPz17kOVJRE90IjyHl+hqLoJEgWuq0ykx8SDA0NxapVq0REn0qlws6dOxEYGIhatWrpPH7fvn0i0CIoKAjly5dPsO/169fi/KioKKH0Vq5cKXxcderUSaV3wzAMkz6xUFqIpLmnfluHHE5Z0XBKF7SbNwhv3r1FnFrCw0glbodbijVtawwFyaE0lN7HIRXoB/nxIqhOekF+fST5AsgmQGhoqFy1alXZyclJdnBwkEuUKCHPnz9fuz8kJES2s7MTa6J69eqyUqkUbZqlTp062muVK1dOtre3F9erUKGCvGvXriT75iFBhmGY5BMdGy0PWTNFVrQuJtsUzyFn8s4ro2khMWRIa/sKLnLjZn5iyDA+6leH5dgjReXYPZZy3K1BsloVZfAzmTNdcKYLhmGYz2bM9IkYsWQS1J5ZPtpHRSSpLlfzZs0StFO2d/WtAZAfLwTsS0DpsVRYYWaT6YJhGIYxPzYFbYC6qKPOfREuFpgyZ9pH7ZKFA5TF50BRejMQEwbVqUpQB08U9bf0wQqLYRiG+WzCIyMAK6XunVZKhEcmXTtL4VwXyornIWVvBPWdIVCdqaG3L1ZYDMMwzGfjaGcPxCRhGcWoIOtOgqFFsswGRYm/ofBcDkRe03ssKyyGYRjms+nbrTfs7+suAKm4GY6bNmHosGAwXkcmnaKJQt8VuVpAWeGc3r5YYTEMwzCfjX/TpvjG1VsEWGgtrRiV2K7vVhmDuvXFssMb4Dmonihfog/JJp/e/aywGIZhmC/KOxj09xoRDegdmhPFbliLNW1vWr0evzfvhxOj1iKbfRY0mNwZrWf3w4u3rz6rLw5r57B2hmGYFCcmLga/b56HMZvmIJt9ZsxuOwK+3rU/Oo7D2hmGYZg0xcrCCiN8e+LM6PXImyUn/Kb1hP/0XxD6JumkuIlhhcUwDMOkGqVc3MUQ4Tj/Pth0dg88BtZF4NEtBuV7ZYXFMAzDpHpOwoCGXXBu7CYUyVkALWf3EfW2nrwK1XseKyyGYRgmTfDIWwT/jliFP1oOxM6LR+AxUH/RXlZYDMMwTJqhVCjRt14HXPz9H5TM76b3WFZYDMMwTJpTNJcrDgxZofcYVlgMwzCMyczp0rs/1SRhGIZhmC+AFRbDMAxjFrDCYhiGYcwCVlgMwzCMWcAKi2EYhjELTEphtW7dGrlz54ajoyPc3NywcOHCJI9dunQplEol7O3ttcuBAwe0+4ODg1GjRg3Y2trC3d0de/bsSaV3wTAMw6R7hRUQECAUTXh4ODZv3oyhQ4fizJkzSR5fqVIlREREaJfq1atr97Vo0QJly5bFixcvMHbsWDRp0gTPnz83uszz589HRofvAd8Dgu8B34OUvgcmpbA8PT1hbW2trUBJy507d5J9nZs3b+Ls2bMYNWoUMmXKBD8/P5QsWRJBQUFGl5m/oHwPCL4HfA8IvgfIOAqL6Natm3YYj4YH69VLOrfUuXPn4OzsLIYPR48ejbi4D2War1y5gkKFCsHBwUF7bOnSpUU7wzAMY55YwMSYPXs2ZsyYgWPHjgmflMbiSkzVqlVx+fJlFChQQCiiZs2awcLCQgwr0vCgk5NTguNp+9GjRx9d5/r167Czs9NukwLMnj27wfLSMCMVHMvI8D3ge0DwPeB78Ln3gM4JCwsTr2lkLc0VFvmXDh48qHOfj48Pjhw5ot2mYIrKlStjxYoVmDNnDnr16vXROWRBaaDhvuHDh2PSpElCYVEABvnB4kPb8S0uDaTcGIZhGNMn1RRW/Ag+Q6EhPkN9WKSVNQXAyBd29+5dvH37VqukLly4gJYtWyZbBoZhGMY0MBkfVmhoKFatWiUsHpVKhZ07dyIwMBC1atXSefz27dvx7Nkz7bAe+bAaNWoktsmnVaZMGRF0ERUVhQ0bNuDixYsi+IJhGIYxT0xGYZGFRMN/+fLlQ5YsWdCvXz9MnToVDRs2FPvv378vhvpoTezduxelSpUS/icKzPD19cXgwYO11yPld/r0aXGtQYMGYd26dcnyTTEMwzAmhsx8khcvXsiNGzeWbW1tZRcXF3nlypU6j1Or1fKAAQPkrFmzioVeU1tGugcTJ06UPT09ZXt7e9nV1VVspxcMvQcaoqOjZXd3dzlv3rxyRrwHZ86ckatUqSLb2dnJOXLkkKdOnSpnlPcfFRUld+7cWbzvLFmyyN9//7388OFDOT0wY8YM2cvLS7ayspLbtGmj99gpU6bIOXPmlB0cHOR27dqJ+/IlsMIygObNm8v+/v7y27dv5cOHD8uOjo7y5cuXPzpu7ty5spubm/zgwQPx5SxevLg8Z84cOSPdgwkTJogHVWxsrHz9+nXxRx0YGChnpHugYcyYMeKBnZ4UlqH34Pnz53L27NnlFStWiIdUeHi4fPXqVTkj/R2UKlVKfvr0qfz+/Xv5xx9/lH/44Qc5PRAUFCRv2LBB7tKli16FtWPHDqGw6f68fPlSrlatmjxw4MAv6psV1ieIiIiQLS0t5Rs3bmjbWrdurfPGV6pUSZ43b552e+HChXKFChXkjHQPEtOzZ0+5R48ecka7B3fv3hXW1bZt29KNwkrOPQgICBD70hPJef/0MO/fv792e8uWLeLHbHpiyJAhehVWixYtxPdAw549e4S19SWYjA/LVKGsGTS/iwI5PjUJmdpo36eOS8/3ID70g+jw4cMiajOj3YOePXti3LhxItNKeiE59+D48ePImjUrvv76a+TIkQMNGjTQ+p8zwvvv0KED/v33Xzx+/Bjv3r3DypUrUbduXWQkruh4HlKgHKXL+1xYYX0CilqkZLyJJyFTyLyuY+NPWKbX1KYJt88I9yA+I0eOhFqtRrt27WDuJOceUFQqRbr+8MMPSE8k5x48fPgQy5Ytw7Rp04SiKliwoMjvmVHef9GiRZE/f37kzZtXnHPt2jUxVzQjEaHjeUh86rmhD1ZYnyA5k5ATH0uvqU3fzO30dg80zJw5E8uXL8fWrVuTzFaSHu9BZGQkBgwYgOnTpyO9kZzvAVmWpLC9vb1hY2ODESNG4OjRo3jz5g0ywvvv3r07oqOjhTVB3wmKYs5oFpa9juchoe+58SlYYX0CMv9pAvOtW7e0bTQJWdcwF7XRvk8dl57vAbF48WKMHz9eTD2gaQrpAUPvAe2nigNVqlRBrly5xIPqyZMn4jW1Z5TvAU05if9Dzdx/tCX3/Z8/fx5t27YVw6L0g42GiE+ePKlNP5QR8NTxPMyZMyeyZcv2+Rf9Ig9YBqFZs2YiOoicrkeOHEkyMogiAsnRThGCjx49kj08PNJNlKCh94Ciwsixmh4iwj7nHlB05JMnT7QLRVTlzp1bvI6Li5Mzyvdg7969cubMmeVz587JMTExcu/eveXKlSvLGeX9t23bVvb19ZVfv34t3v/YsWPlPHnyyOmB2NhYEfk4aNAgEXRCr6ktMdu3bxfPgitXrsivXr2Sa9SowVGCqTX3olGjRmLuRf78+bVzLw4dOiTmmGigOVcUGUTzLmih1+lpHpYh94DmXllYWIg2zULzUTLSPYjP/v37002UYHLvwezZs8VDmhQXzUO6f/++nFHef1hYmNyyZUsR2u/k5CT7+PjIJ06ckNMDI0aMIKd8goXaQkJCxD2gtYbJkyeL0Haah0VK/EvnYUn0j3EMQIZhGIZJOdiHxTAMw5gFrLAYhmEYs4AVFsMwDGMWsMJiGIZhzAJWWAzDMIxZwAqLYRiGMQtYYTEMwzBmASsshjFDKLHq2bNn01oMhklVeOIww5gZr169grOzs8iGnZ7KlzDMp2ALi2HMjEuXLsHV1ZWVFZPhYIXFMGbGxYsXUaRIEfTq1QvZs2dHnjx5sHv37rQWi2FSHFZYDGOGFtbp06dRv359UcG1c+fOmDBhQlqLxTApDisshjFDC2vIkCGoXbs2FAoFPDw8tPv8/f3h4+OD6tWri+X69etpKivDGBOLtBaAYRjDoRipy5cvi2rOGmhbo7Ru3rwprC8LC/7TZtIfbGExjBlx7949sSYfloZz586hTJkyiImJgVqtZmXFpFtYYTGMmQ0HlixZMkHJeVJYpUuXFsN/T5480Q4HTp48OU1lZRhjwz/FGMbMAi5IOWkICwvD06dPUaJECQQFBaFHjx4YMWJEmsrIMCkFKyyGMSOGDRuWYJsmEMfGxmp9Wd7e3mkkGcOkPJzpgmHSCQ0bNsSjR4/g4OAgtmfNmgVPT8+0FothjAYrLIZhGMYs4KALhmEYxixghcUwDMOYBaywGIZhGLOAFRbDMAxjFrDCYhiGYcwCVlgMwzCMWcAKi2EYhjELWGExDMMwZgErLIZhGAbmwP8A3DS26Yzihv8AAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax = plt.subplots()\n", + "\n", + "ax.plot(wala_energies_dict.keys(),np.array(list(wala_energies_dict.values()))/((number_of_gauge_qubits+1)/2), marker = \"o\", color = WALA_INITIAL, label='WALA')\n", + "ax.plot(toric_code_energies_dict.keys(),np.array(list(toric_code_energies_dict.values()))/((number_of_gauge_qubits+1)/2), marker = \"o\", color = TORIC_INITIAL, label='toric code')\n", + "ax.plot(polarized_energies_dict.keys(),np.array(list(polarized_energies_dict.values()))/((number_of_gauge_qubits+1)/2),marker='o', color= POLARIZED_INITIAL, label = 'polarized')\n", + "\n", + "ax.set_xlabel(\"$h_E$\")\n", + "ax.set_ylabel(\"Energy error per unit cell\")\n", + "ax.set_xbound(-0.05,1.05)\n", + "ax.set_ybound(-3.5,-1.25)\n", + "ax.legend()\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "022dec20", + "metadata": {}, + "source": [ + "We can see that the WALA state yields an energy as low or lower than the two limiting cases of the toric code and polarized states across the entire range of $h_E$. The next step is to pair-create charge excitations on top of the WALA state with X gates and measure the Trotterized dynamics." + ] + }, + { + "cell_type": "markdown", + "id": "89307a79", + "metadata": {}, + "source": [ + "### Dynamics of Charges" + ] + }, + { + "cell_type": "markdown", + "id": "c05f8dab", + "metadata": {}, + "source": [ + "By applying a single X gate on qubit `cirq.GridQubit(2,1)`, we excite two charges next to each other in the center of the grid. By then simulating their Hamiltonian evolution, the dynamics reveal a fingerprint of the confinement.\n", + "\n", + "We choose $h_E$ values between 0 (fully deconfined) and 2.0 (strongly confined) to simulate the dynamics. $J_E = J_M = 1$ and $\\lambda = 0.25$ are held constant. For the Trotterized simulation, we find that at time step of $dt=0.3$ does not accumulate significant trotter error over the simulated 10 trotter steps.\n", + "\n", + "A circuit with a single Trotter step now looks like:" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "f19dcaf8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
                            ┌──┐           ┌──┐           ┌──┐               ┌──┐           ┌──┐                                               ┌──┐           ┌──┐\n",
+       "(-1, 0): ───Ry(theta)─────────@─────────────@────────────────────────────H────@─────H──────────────────────────────Rz(-2*dt)──────────────────────────────H────@─────H───H───@───H───────@───────────────────────────────────────────────@───────H───@───H───H───────────────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────────────────────────────────────────────────────────────────────────────────────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M('measure_all')───\n",
+       "                              │             │                                 │                                                                                │             │           │                                               │           │                           │           │                       │           │                                                                                                                                             │\n",
+       "(-1, 2): ───Ry(theta)────────@┼─────────────┼@───────────────────────────H────┼@────H──────────────────────────────Rz(-2*dt)──────────────────────────────H────┼@────H───────┼───────H───@───H───────────────Rz(-2*dt)───────────────H───@───H───────┼───────H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────────────────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                             ││             ││                                ││                                                                               ││            │                                                                       │                           │           │                       │           │                                   │           │                       │           │                                                         │\n",
+       "(0, -1): ───────────────H────┼@────H────────┼┼─────────────@──────────────────@┼────────H────@─────H───────────────Rz(-2*dt)───────────────H────@─────H────────@┼────────────┼───────────────────────────────────────────────────────────────────────┼───────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                             │              ││             │                   │             │                                                  │               │            │                                                                       │               │                       │                       │                       │                       │           │                       │           │                                                         │\n",
+       "(0, 1): ────────────────H────@─────H───H────@┼────H────────┼───────────────────┼─────────────┼──────────────────────────────────────────────────┼───────────────┼────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                                             │             │                   │             │                                                  │               │                        │           │                       │           │                           │                                                                       │           │                       │                       │                       │                                             │\n",
+       "(0, 3): ───────────────────────────────H─────@────H────────┼@──────────────────@────────H────┼@────H───────────────Rz(-2*dt)───────────────H────┼@────H─────────@────────────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───────┼───────────────────────────────────────────────────────────────────────┼───────────┼───────────────────────@───────────────────────@───────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                                                           ││                                ││                                                 ││                                       │           │                       │           │                           │                                                                       │           │                                                                       │                                             │\n",
+       "(1, 0): ────Ry(theta)────────@───────────────@────────H────@┼────H───────H────@─────H────────@┼─────────────────────────────────────────────────@┼────────H────@─────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────────┼───────────────────────────────────────────────────────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                             │               │              │                 │               │                                                  │             │             │                       │                       │                       │                           │           │                       │           │                       │                                                                       │                                             │\n",
+       "(1, 2): ────Ry(theta)────────┼@─────────────@┼────────H─────@────H───────H────┼@────H─────────@──────────────────────────────────────────────────@────────H────┼@────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                             ││             ││                                ││                                                                               ││            │                                                                       │                           │           │                       │           │                                   │           │                       │           │                                                         │\n",
+       "(2, -1): ───────────────H────@┼────H────────┼┼─────────────@──────────────────@┼────────H─────@────H───────────────Rz(-2*dt)───────────────H─────@────H────────@┼────────────┼───────────────────────────────────────────────────────────────────────┼───────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                              │             ││             │                   │              │                                                  │              │            │                                                                       │               │                       │                       │                       │                       │           │                       │           │                                                         │\n",
+       "(2, 1): ────────────────H─────@────H───H────┼@────H────────┼─────────X─────────┼──────────────┼──────────────────────────────────────────────────┼──────────────┼────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                                            │              │                   │              │                                                  │              │                        │           │                       │           │                           │                                                                       │           │                       │                       │                       │                                             │\n",
+       "(2, 3): ───────────────────────────────H────@─────H────────┼@──────────────────@────────H────@┼────H───────────────Rz(-2*dt)───────────────H────@┼────H─────────@────────────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───────┼───────────────────────────────────────────────────────────────────────┼───────────┼───────────────────────@───────────────────────@───────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                                                           ││                                ││                                                 ││                                       │           │                       │           │                           │                                                                       │           │                                                                       │                                             │\n",
+       "(3, 0): ────Ry(theta)────────@───────────────@────────H────@┼────H───────H─────@────H────────┼@─────────────────────────────────────────────────┼@────────H─────@────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────────┼───────────────────────────────────────────────────────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                             │               │              │                  │             │                                                  │               │            │                       │                       │                       │                           │           │                       │           │                       │                                                                       │                                             │\n",
+       "(3, 2): ────Ry(theta)────────┼@─────────────@┼────────H─────@────H───────H────@┼────H────────@──────────────────────────────────────────────────@─────────H────@┼────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                             ││             ││                                ││                                                                               ││            │                                                                       │                           │           │                       │           │                                   │           │                       │           │                                                         │\n",
+       "(4, -1): ───────────────H────@┼────H────────┼┼─────────────@──────────────────┼@────────H────@─────H───────────────Rz(-2*dt)───────────────H────@─────H────────┼@────────────┼───────────────────────────────────────────────────────────────────────┼───────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                              │             ││             │                  │              │                                                  │              │             │                                                                       │               │                       │                       │                       │                       │           │                       │           │                                                         │\n",
+       "(4, 1): ────────────────H─────@────H───H────┼@────H────────┼──────────────────┼──────────────┼──────────────────────────────────────────────────┼──────────────┼─────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                                            │              │                  │              │                                                  │              │                         │           │                       │           │                           │                                                                       │           │                       │                       │                       │                                             │\n",
+       "(4, 3): ───────────────────────────────H────@─────H────────┼@─────────────────@─────────H────┼@────H───────────────Rz(-2*dt)───────────────H────┼@────H────────@─────────────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───────┼───────────────────────────────────────────────────────────────────────┼───────────┼───────────────────────@───────────────────────@───────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                                                           ││                                ││                                                 ││                                       │           │                       │           │                           │                                                                       │           │                                                                       │                                             │\n",
+       "(5, 0): ──────────────────────────────────────────────H────@┼────H───────────────────────────@┼─────────────────────────────────────────────────@┼───────────────────────────────────────@───────────┼───────────────────────┼───────────@───────────────────H───────@───────────────────────────────────────────────────────────────────────@───────────┼───────────────────────────────────────────────────────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                                                            │                                 │                                                  │                                                   │                       │                                                                                                                           │                                                                       │                                             │\n",
+       "(5, 2): ──────────────────────────────────────────────H─────@────H────────────────────────────@──────────────────────────────────────────────────@───────────────────────────────────────────────────@───────────────────────@───────────────────────────────H───────────────────────────────────────────────────────────────────────────────────────────@───────────────────────────────────────────────────────────────────────@───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                            └──┘           └──┘           └──┘               └──┘           └──┘                                               └──┘           └──┘
" + ], + "text/plain": [ + " ┌──┐ ┌──┐ ┌──┐ ┌──┐ ┌──┐ ┌──┐ ┌──┐\n", + "(-1, 0): ───Ry(theta)─────────@─────────────@────────────────────────────H────@─────H──────────────────────────────Rz(-2*dt)──────────────────────────────H────@─────H───H───@───H───────@───────────────────────────────────────────────@───────H───@───H───H───────────────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────────────────────────────────────────────────────────────────────────────────────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M('measure_all')───\n", + " │ │ │ │ │ │ │ │ │ │ │ │ │\n", + "(-1, 2): ───Ry(theta)────────@┼─────────────┼@───────────────────────────H────┼@────H──────────────────────────────Rz(-2*dt)──────────────────────────────H────┼@────H───────┼───────H───@───H───────────────Rz(-2*dt)───────────────H───@───H───────┼───────H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────────────────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " ││ ││ ││ ││ │ │ │ │ │ │ │ │ │ │ │\n", + "(0, -1): ───────────────H────┼@────H────────┼┼─────────────@──────────────────@┼────────H────@─────H───────────────Rz(-2*dt)───────────────H────@─────H────────@┼────────────┼───────────────────────────────────────────────────────────────────────┼───────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " │ ││ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", + "(0, 1): ────────────────H────@─────H───H────@┼────H────────┼───────────────────┼─────────────┼──────────────────────────────────────────────────┼───────────────┼────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", + "(0, 3): ───────────────────────────────H─────@────H────────┼@──────────────────@────────H────┼@────H───────────────Rz(-2*dt)───────────────H────┼@────H─────────@────────────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───────┼───────────────────────────────────────────────────────────────────────┼───────────┼───────────────────────@───────────────────────@───────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " ││ ││ ││ │ │ │ │ │ │ │ │ │\n", + "(1, 0): ────Ry(theta)────────@───────────────@────────H────@┼────H───────H────@─────H────────@┼─────────────────────────────────────────────────@┼────────H────@─────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────────┼───────────────────────────────────────────────────────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", + "(1, 2): ────Ry(theta)────────┼@─────────────@┼────────H─────@────H───────H────┼@────H─────────@──────────────────────────────────────────────────@────────H────┼@────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " ││ ││ ││ ││ │ │ │ │ │ │ │ │ │ │ │\n", + "(2, -1): ───────────────H────@┼────H────────┼┼─────────────@──────────────────@┼────────H─────@────H───────────────Rz(-2*dt)───────────────H─────@────H────────@┼────────────┼───────────────────────────────────────────────────────────────────────┼───────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " │ ││ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", + "(2, 1): ────────────────H─────@────H───H────┼@────H────────┼─────────X─────────┼──────────────┼──────────────────────────────────────────────────┼──────────────┼────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", + "(2, 3): ───────────────────────────────H────@─────H────────┼@──────────────────@────────H────@┼────H───────────────Rz(-2*dt)───────────────H────@┼────H─────────@────────────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───────┼───────────────────────────────────────────────────────────────────────┼───────────┼───────────────────────@───────────────────────@───────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " ││ ││ ││ │ │ │ │ │ │ │ │ │\n", + "(3, 0): ────Ry(theta)────────@───────────────@────────H────@┼────H───────H─────@────H────────┼@─────────────────────────────────────────────────┼@────────H─────@────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────────┼───────────────────────────────────────────────────────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", + "(3, 2): ────Ry(theta)────────┼@─────────────@┼────────H─────@────H───────H────@┼────H────────@──────────────────────────────────────────────────@─────────H────@┼────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " ││ ││ ││ ││ │ │ │ │ │ │ │ │ │ │ │\n", + "(4, -1): ───────────────H────@┼────H────────┼┼─────────────@──────────────────┼@────────H────@─────H───────────────Rz(-2*dt)───────────────H────@─────H────────┼@────────────┼───────────────────────────────────────────────────────────────────────┼───────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " │ ││ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", + "(4, 1): ────────────────H─────@────H───H────┼@────H────────┼──────────────────┼──────────────┼──────────────────────────────────────────────────┼──────────────┼─────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", + "(4, 3): ───────────────────────────────H────@─────H────────┼@─────────────────@─────────H────┼@────H───────────────Rz(-2*dt)───────────────H────┼@────H────────@─────────────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───────┼───────────────────────────────────────────────────────────────────────┼───────────┼───────────────────────@───────────────────────@───────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " ││ ││ ││ │ │ │ │ │ │ │ │ │\n", + "(5, 0): ──────────────────────────────────────────────H────@┼────H───────────────────────────@┼─────────────────────────────────────────────────@┼───────────────────────────────────────@───────────┼───────────────────────┼───────────@───────────────────H───────@───────────────────────────────────────────────────────────────────────@───────────┼───────────────────────────────────────────────────────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " │ │ │ │ │ │ │ │\n", + "(5, 2): ──────────────────────────────────────────────H─────@────H────────────────────────────@──────────────────────────────────────────────────@───────────────────────────────────────────────────@───────────────────────@───────────────────────────────H───────────────────────────────────────────────────────────────────────────────────────────@───────────────────────────────────────────────────────────────────────@───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " └──┘ └──┘ └──┘ └──┘ └──┘ └──┘ └──┘" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "excitation = cirq.Moment(cirq.X.on(cirq.GridQubit(2,1)))\n", + "\n", + "cirq.Circuit.from_moments(\n", + " *lgt.variational_ground_state_minimal_qubits(grid,sympy.Symbol('theta')),\n", + " excitation,\n", + " *lgt.trotter_step_minimal_qubits(grid,sympy.Symbol('dt'),sympy.Symbol('lambda'),sympy.Symbol('he')),\n", + " cirq.Moment(cirq.measure(*sorted(grid.physical_qubits), key=\"measure_all\"))\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "id": "b5891922", + "metadata": {}, + "source": [ + "Let's populate a list of circuits to simulate:" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "e4aec731", + "metadata": {}, + "outputs": [], + "source": [ + "he_list = [0,0.3,0.6,0.8,2.0]\n", + "dt = 0.3\n", + "coupling = 0.25\n", + "trotter_steps = np.arange(10)\n", + "\n", + "excitation = cirq.Moment(cirq.X.on(cirq.GridQubit(2,1)))\n", + "\n", + "time_evolution_circuits = []\n", + "\n", + "for he in he_list:\n", + " for step in trotter_steps:\n", + " time_evolution_circuits.append(cirq.Circuit.from_moments(\n", + " *lgt.variational_ground_state_minimal_qubits(grid,angles[he]),\n", + " excitation,\n", + " *lgt.trotter_step_minimal_qubits(grid,dt,coupling,he)*step,\n", + " cirq.Moment(cirq.measure(*sorted(grid.physical_qubits), key=\"measure_all\"))\n", + " ))" + ] + }, + { + "cell_type": "markdown", + "id": "b31c4627", + "metadata": {}, + "source": [ + "and run the simulations. Now that we're simulating deeper circuits for many Trotter steps, this may take a few seconds." + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "5b1af32b", + "metadata": {}, + "outputs": [], + "source": [ + "results_charge_dynamics = simulator.run_batch(time_evolution_circuits,repetitions=reps)" + ] + }, + { + "cell_type": "markdown", + "id": "ad8e4713", + "metadata": {}, + "source": [ + "Now we will calculate the charge operator for each vertex, $v$. Then, by post-selecting on bitstrings that only have two charge excitations ($A_v = -1$ on two vertices and $+1$ for all others), we calculate the average distances between charges for each set of parameter values and number of trotter steps." + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "a3824a60", + "metadata": {}, + "outputs": [], + "source": [ + "counter = 0\n", + "\n", + "trotter_steps = np.arange(10)\n", + "\n", + "occupations = {}\n", + "separations = {}\n", + "separations_sdom = {}\n", + "\n", + "for he in he_list:\n", + " separations[he] = []\n", + " separations_sdom[he] = []\n", + " for step in trotter_steps:\n", + " occupations[(he,step)] = []\n", + " res = results_charge_dynamics[counter][0].measurements['measure_all']\n", + " charge_occupations = lgt.plaquette_bitstrings(res,grid)\n", + " charge_excitation_number = np.sum(charge_occupations,axis = 1)\n", + " post_selected_charge_occupations = charge_occupations[np.nonzero(charge_excitation_number==2)[0],:]\n", + " charge_separation = lgt.excitation_sep_plaquette_input(\n", + " post_selected_charge_occupations,\n", + " grid.rows+1,\n", + " grid.cols+1\n", + " )\n", + " \n", + " occupations[(he,step)] = np.mean(charge_occupations, axis = 0)\n", + " separations[he].append(np.mean(charge_separation))\n", + " separations_sdom[he].append(np.nanstd(charge_separation)/np.sqrt(len(charge_separation)))\n", + "\n", + " counter += 1" + ] + }, + { + "cell_type": "markdown", + "id": "28ae7fbb", + "metadata": {}, + "source": [ + "To start to explore this data, we will plot heatmaps of $\\langle A_v \\rangle$ for each charge site for the deconfined ($h_E = 0$) and the confined ($h_E = 2.0$) cases for times $t \\in \\{0, 1.5,2.7\\}$. Notice that the charges tend to separate much faster in the deconfined regime." + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "80377772", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", 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", 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", 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xMChegOLDgyAxMtjWJwWzFeK44+9oSaP4s7q5E5raeyd1IqJgf4eAJDN+BsyMD4PkqGBLz1Ox70wdbDhSoeTab1nFhgXC7asyTTnhU/+AE97cWQyniK3wmW4LZ0bBDUvSLF2GWNfSDUU1rVBU0yY+EPHJFBroCwmR50DPTcITsNnnICftEcdXcDwJ0c78Giit7/DIdeKIcFZiGKyZkwiZCWFgVoODLthwuEIcvGPHQgJ84baVmeKXVVa4rv7lLQXKHN1qdhlxofD5VZkQ4GfeCcvqWrth87FKOFba5LGpwajQALEu/tJZsRAaqPf5erRFvKm9BzYeq4QDhfVSz2ORHhsK6+Ynwdy0KOnn+X5rdzEUVeu1A3Oq4RTXjUvTYZaE9eQ4Cvzn5gJo7dJrB+ZUi5kRAHetyYYIyee3Ka1rh/8eRbwbpW1V+uD5etIiYe3cJEiLDQUd0xLx7Ser4d19peKwczOXxV0+L0msc/b05mh7Vx/8a3uRQIY7d05tfOFcMivOY9dZVN0K/95+1tTnjMrhFOIdq7MgJTrE49edX9EM/z1SCQXVrWDmc2b1RYlaLqvUCnE8gu5f2wpNfXKMdUrQm5dmwPyMaI9cH+7U+ff2IhKHz5vdxVnRcOWC6a9c0X0FirvhjkN8Ll/koZUr+G5Gr24rFO8cZeVWxp2XZYt9XLqkDeI4+n5nbwn0KbJaA8+djb8A01lRUVjVKqZQ7LACxd0yP1254ufm/YxnHtx5Sv8VKFavXNl4tBLe31+qxHlmvLwAVuUlwGeXpCt7ZLDtEMcnB57sSbXwVf+etTmQGhPi1gms/rO7WIsjMGWXHB0Mn1+VNeUXzHf3lMCBogZpt0unVubFwxULkqf8dS2dvWJH8Zkq67aOxwvf3u6+K3LJQ04ecVUBH75j5dqLU8V8uTcOASbRidImsVVB+5Ext8TIILjjsmxxIq0LhU95PIT+8NlGU26bLi3PjYOrFqVM+vNxOS9On3T1qnGOdV0hJ4246oAPLyshDL6wJvuC53U+VtII7+0rZcDdKD4iCO5cnQWBEyyPw2WaeJDU0ZImU2+bLl2aEysGJRda1vvWrmLYdZrGNFUeccjJIv7hgTJYf6gcKIVHlX3tmosgKWrsd4E/fLZB/Fw0HxE1wlVCd67OHvONmRHwN3edheOlzZbcNl1anB0jThs8Vvieos99eMLSnZfuQn7/lbNJvtk0yZeeM1UtYocUtXCFyR8+OA5lYxx0dLDw3AoJBnx61X661nt0zsFBeG1HEQPugfYV1MM7e0rOuxxPgfz7946RAxw7Wd4Mm45VAsXIIY7reHEZIVXr8JSmnb3nH0zSbtK7otshvI9Hh6siuhR5/0sdGmvJa2dvP+mTsX14sAxqW+gdqUsO8Xf3lUBj++TOp6BauKWGq1VmJ5+/7nb1nERYkRdvye3SKTyHxhfWzjrvcjzA4+412ZDmxkohbmR4ygk8NH90eN6Sr183RxwoRLEBpwte2VpI7ngBUogXVrfCjpM1QBnwhTPHPwiIIfcM4OMdLo5ryRlyzwDuM85OQNzfQxnykrp22HK8CihFCnE8cpHWa+TkATdiyOUAbsSQywNcF8g/2F9G6vw5ZBA/XdkiznamM+BGDLkcwI0YcnmA6wB5v3MQ9pyhsTySFOI7T9XYAnAjhlwO4EYMuTzAdYB8d34tmblxEoi3dfWJcw3bBXAjhlwO4EYMuTzAqUPe1NELp4m8KQgJxHHThsqroqcAN2LI5QBuxJDLA5w65DvzaWz9k0B89+k6sCPgRgy5HMCNGHJ5gFOG/ERZk5gFUD3lEcc7sbG9B+wKuBFDLgdwI4ZcHuBUIR90wZhHV6uW8ohXN9M4gkom4EZ2h1wW4EYMuTzAqUJe1az+KQSUR7yqicCdaALgdodcNuBGdoZcNuAUIa8m8IbZyiOu+p1oJuB2hdwswO0MuVmAU4O8isIgEhRP5TvRCsDtBrnZgNsRcrMBpwR5fWs3DDjVfntE5RGvb1Nzp6aVgNsFcqsAtxPkVgFOBfJBFyi/sEJ5xPHtzVRLBcB1h9xqwO0AudWAU4Hce5Jvq2hVyiOu2lsmqQS4rpCrArjOkKsCOAXIfR1q3EfjpfatwzvQR51XQRUB1w1y1QDXEXLVAFcdcodi99PoCCCuxk1UGXBdIFcVcJ0gVxVwlSH3VfS+MlL71inyKkgBcOqQqw64DpCrDriqkPsqfn+pfesAIMDP2geSEuBUIacCOGXIqQCuGuR+Dm/wVnBxxfCUf0St/EWhCDg1yKkBThFyaoCrBHlqTCionvKP6sz4GZZ8X8qAU4GcKuCUIKcKuCqQZ1rkz1QigbjZyzR1AFx1yKkDTgFy6oCrAHkmIz79Av0ckBgZbNr30wlwVSHXBXCVIdcFcCsh9/H2gvQ4nk4h9WqoI+CqQa4b4CpCrhvgVkGeEh0Cfg4fUD0Sj3JmQpj076Ez4KpArivgKkGuK+BWQJ5JYCoFI/FIz04Oh+AAeQ+aHQC3GnLdAVcBct0BNxNyLwC4JCsGKETi0cZNmsvyEqVct50AtwpyuwBuJeR2AdwsyGenRECCifviphOZR3xlXrxYeO/J7Ai42ZDbDXArILcb4GZAfsX8ZKASmUc9OMAXluV6Dh07A24W5HYF3EzI7Qq4TMgz4kItOz7FnUg98mvmJHrk/OIMuHzI7Q64GZDbHXBZkK+bR2cUjpF69BGERZnTg5cBlw85Ay4fcgZcDuTx4YEwJy0SKEXuGYBzVe6Oxhlw+ZAz4PIhZ8DlQX71olSgFrlnQVx4EHxmcdqUv44Blw85Ay4fcgZcHuQLZ0aT9IHkM2HN3CTISQqf9Ocz4PIhZ8DlQ86Ay4M8IsQfbl+RCRQj+2y4a3X2pA4AYsDlQ86Ay4ecAZcHuZcXwBdWZ0OgIm9CMdXIPiPCgvzgjlVZE34OAy4fcgZcPuQMuFzIr5ifbMqpPWRF+lkxNy0Klo+zdpwBlw85Ay4fcgZcLuSpMSFwDcGdmcMj/8y4aWk6xIUHjriMAZcPOQMuH3IGXC7kfg5vuGfNLI8ce2Jl5J8deF6VL18xG0ICfMW/GXD5kDPg8iFnwOVC7u3lBfeuzYGYsJEDQIp5uVwuF2hQZWMH/PHDE3Dr8kwGXFJbjlfB0eJGBlxSff1O+OfmAvD39WHAJVXZ2Al/+ugE3LI0AxZl0jhLoW0Qx3r6BiDAj+YeZkrQ4MiRk1O/0wne4MWAc/ZEnOM4zm7xyz3HcRzhGHGO4zjCMeLcpHP29kLD4UNW3wytay8tge7aWqtvBkcobRA/UFgPT7y8Hz45VGH1TdEW8C1fuR8+vvUWqNq82eqboy3gn9x2K3xy+60MuaROlDbBk6/sh3f3lIAuaYH4oaIGeG9vKeAe2h2nahhySYBX/ncDOHt6YPP9/4chlwR4V3UVtJ0tYsglAf7GzrMw6AI4UNQA7+8rBR0ijziuW35nb4kA3IghlwP40GUMuTTAjRhyeYAb7Suoh48OlAP1SCN+vLQJ3t5dDGMtkmTI5QA+9H8MuTTAjRhyeYAb7T5dS94JsoifKm+GN3cWj/nAGDHkcgAf+hyGXBrgRgy5PMCHO/HfI5VANZKIl9a1w+s78IG58HFKDLkcwIc+lyGXBrgRQy4PcKNtJ6phz2ma9y85xBvbeuDVrYXgnMwj82kMuRzAh76GIZcGuBFDLg9wo/UHy+FMZQtQixTiXb0D8M8tBdDd55zy1zLkcgAf+lqGXBrgRgy5PMAx/Hzcwq9u6gJKkUF8wDkoRuBN7b1uXwdDLgfwoetgyKUBbsSQywHcqG9gEF7eUgBtXX1AJTKI/2dPCZTVd0z7ehhyOYAPXRdDLg1wI4ZcDuBG7d398PLmAnHGTgqRQHzT0Uo4VtLksetjyOUAPnSdDLk0wI0YcjmAG9W0dJ9bPOGpK7Qz4keKG2HL8WqPXy9DLgfwoetmyKUBbsSQn8vTgBudqWqFjw6WgeopjXhJbTu8I/EcB3aGXCbgQ9/D5pDLBNzI7pCfkAS40d4z9bA7X+37VlnEG9t74F/bpraU0J3sCLkZgNsdcjMAtzvksgE3Wn+oHE5XqLv00FvVlSj/3lbk1lJCd7IT5GYCblfIzQTcrpCbBTiGxxS+tasYmjvcXxlnO8TxpDS1Ld2mfk87QG4F4HaD3ArA7Qa5mYAb9fQ74Y0dZ8E5OAiqpRziJ8uaYH9hvSXfW2fIrQTcLpBbCbhdILcCcKOKxk7YeMS6x5YE4i0dvfDOHmvP8asj5CoArjvkKgCuO+RWAm6081QNFFa1gkopgzhupuC6TNxssTqdIFcJcF0hVwlwXSFXAXAMvz3Oj7d3q3NEpzKI41pw3FxRJR0gVxFw3SBXEXDdIFcFcKPO3gF4e7c6b++mBOL1rd2w42QNqBZlyFUGXBfIVQZcF8hVA9yoqLoNjpU0ggopgfj7+8qkrwe3E+QUAKcOOQXAqUOuKuBG6w9WQE/fAIDdET9S3AAlde2gcpQgpwQ4VcgpAU4VctUBxzp6+pV4RyBLEe/uG4CPD9LAkQLkFAGnBjlFwKlBTgFwI1wOXWnxvjxLEd94pFLsJKCSypBTBpwK5JQBpwI5JcCNoznf31dqT8RbO/vgYFEDUEtFyHUAXHXIdQBcdcipAW5U1dQF+RXNYDvEcdG8qjszKUGuE+CqQq4T4KpCThVwo+0nauyFeGdPP8lRuGqQ6wi4apDrCLhqkFMHHMNjXM7WtIFtEN+VXwv9TvVOJEMJcp0BVwVynQFXBXIdADfadsLzb16jJOK9/U7YV2DNCa50gdwOgFsNuR0AtxpynQDHimvbLVmpYjrieHJ1hFynzITcToBbBbmdALcKct0AH/52ktojfrLcur241CG3I+BmQ25HwM2GXFfAsVMW+GYq4n39TiisVus0jlQgtzPgZkFuZ8DNglxnwLH27n4oq+8AbRHHd48ecGr66EmEnAGXDzkDLh9y3QG3ajRuKuL5Cr/ZqKqQM+DyIWfA5UNuF8CxfJ0Rr25S53zhFCBnwOVDzoDLh9xOgGPNnX2mnt3Q28x3sFf13aJVhJwBlw85Ay4fcrsBblTf2gPaId7Y1mO7B9JdyBlw+ZAz4PIhtyvgWF1rN2iHeH2bea9MlCFnwOVDzoDLh9zOgGs7ErfbVIo7kDPg8iFnwOVDbnfAseYODREfxBPv2ryJIGfA5UPOgMuHnAE/l5k/v+Vvz2ZHyHedOv+0lTu+8y0G3IOQtxScGXF5b0szA+5JyD9/GwwO9I+4vKi6lQG3IEbc5MKC/CAnOfy8y2fdcy84AgMtuU26Fb9iJYSmpY+4zD88AjJvv92y26Rb+Hz1dviOuCwlOgSSo0Msu012jRE3GfAvrpsFkaEBY8Kz9oW/M+TTLGndFbD6z/8PfPz8zvu/+d//vzD3O9+15Hbp1CU/ehJyv3z/eZf7+frAF9ZkQ2oMQ64l4oF+DrBzEwFuxJDLA9yIIZcDuBFDfq5APx/QDvHoGePjpXuTAdyIIZcHuBFDLgdwI4YcICYsUD/EY038oagCbsSQywPciCGXA7iR3SGPCQvQD/GQQF9TNzGoAm7EkMsD3IghlwO4kZ0hj9FxJG72D0YZcCOGXB7gRgy5HMDtDLnDxwsigv31RHxm/AywQ54A3Ighlwe4EUMuB3C7Qp4eGwre3l56Ip6XEgG650nAjRhyeYAbMeRyALcj5Hmp5jpnKuKx4YFar1KRAbgRQy4PcCOGXA7gdoLc28sLcpM1RhybreloXCbgRnaHXCbgRnaHXBbgdoE8PTYEgvwdeiN+kcmbGroAbnfIzQDc7pDLBtwOkOelRpr+PU1HPD4iCNI0evDMBNyukJsJuF0hNwtwnSEP9POBeek2QBxbdVEC6JAVgNsNcisAtxvkZgOuK+SX5sSJn8kWiGclhkFCRBBQzkrA7QK5lYDbBXKrANcNcj+HN1yaE2uvsxiuuigeqKYC4LpDrgLgukNuNeA6QX5JdoxlJ/mzDHFcpRJDcLmhSoDrCrlKgOsKuSqA6wC5w8cLludaNyi1DHEvLy+4elEKUEpFwHWDXEXAdYNcNcCpQ74yL0GcG8qWbwqBc+NUjuJUGXAj6pCrDLgukKsKOFXIo0L9YWVevL3f2efai1PA32H5zSAPOHXIKQBOHXLVAacI+fWL08DhY61flusZGuQHa+clgapRApwq5JQApwo5FcApQT43LVKJk/pZjji2ZFaskksOKQJODXKKgFODnBrgFCAP8PVRZp+eEojjaRtvXJoODhNP36gz4FQgpww4FcipAq465NdcnGLpzkzlEDcOx79yYTKokA6Aqw65DoCrDjl1wFWFfF56JCyYGQ2qpAzixmGrucnhlt4GnQBXFXKdAFcVcl0AVw3yqFB/uGFxGqiUUohjOK2CkFqRjoCrBrmOgKsGuW6AqwK5w9sLbluZacn5UUghjoeu3rpipji5upnpDLgqkOsMuCqQ6wq4CpBfuTBZTPuqlnKIYykxIXD5/ETTvp8dALcacjsAbjXkugNuJeSzk8PFdK+KKYm4cSjr/Iwo6d/HToBbBbmdALcKcrsAbgXkCRFBcPPyDFA1ZRHHPrskDdJi5T1IdgTcbMjtCLjZkNsNcDMhnxHkC3etzgI/h1rz4GQQ9/HxhjtWZYk9wp7OzoCbBbmdATcLcrsCbgbkfg5vuGt1tjiqXOWURhwL9HfA3WuyPfrmowy4fMgZcPmQ2x1wmZB7e4FYiaLijkxyiGOI7R2rMj1yRCcDLh9yBlw+5Ay4XMivuTgVshPDgEIkEMdSY0PFGvLpxIDLh5wBlw85Ay4X8qU5seJ8TlQigzg2Nz0K1s51b+khAy4fcgZcPuQMuFzIc5LClTmxlZaIY6vnJk556SEDLh9yBlw+5Ay4XMgTIoLgcysyxLuOUYoc4sbSw4y40El9LgMuH3IGXD7kDLhcyMOD/ZRfSqgV4rj08M7VWZB2gQeIAZcPOQMuH3IGXC7kYcKJHOWXEmqFOIavmLj0MCU6eMz/Z8DlQ86Ay4ecAZcLeWigr3AiIsTzx6KYFVnEjQcIIU+KGgk5Ay4fcgZcPuQMuFzIQwIcYgRO3QnSiGMBfg74wtrsobd3Y8DlQ86Ay4ecAZcLebD/OcCjZ9B3wsvlcrlAg7p6B+DtXcXibZMYcDnV7NgOZ176O6x49vcMuKSO/OoX4B8RyYBLqq/fCW/uKhZLleMIHI1pK8Q5juPsGPnpFI7jODvHiHMcxxGOEec4jiOcNogPulyw6VgldPcNWH1TtK2poxd2nKy2+mZo3YnSJiiqbrX6ZmjdthPV0N2rjxPaIP7y1gL4944i+N37xxhySYC/tPE0bDxaBf89XGH1zdEW8Dd2noVXthYy5JJ6ZWsBvLHrLDy//iT09jtBh7RA/J29JbDjVI34e3FtO0MuCfC2rn7x7535tQy5JMAHXQADThdDLgnwPWfqxN9L6trhbxvyxRY89cgjfrqyBT46VDbiMoZcHuBGDLkcwI0YcnmAG+VXtogpWOqRRryzpx9e3HgaxnoxZcjlAW7EkMsB3Ighlwe40Qf7y6C8oQMoRxrxf24tgObO3nH/nyGXB7gRQy4HcCOGXB7gmHPQBS9tOgN9A3Tnx8kijnPgh842XPDzGHJ5gBsx5HIAN2LI5QBuVNfaDW/vLgaqkUQc7/TXdhRO+vMZcnmAGzHkcgA3YsjlAD78+XuspBEoRg5xp3MQ/rrhFPQODE7p6xhyeYAbMeRyADdiyOUAbvTqtkJo7ewDapFDfOfpWiitd29HBEMuD3AjhlwO4EYMuRzAsc7eAfjgQClQixTiuKbzkyPl07oOhlwe4EYMuRzAjRhyzwNutL+wHlomWCyhYqQQxx2Z9a09074ehlwe4EYMuRzAjRhyzwNurFbZcpzWqSVIIf7x4emNwofHkMsD3IghlwO4EUN+Lk8BbrQzv4bUuVXIIJ5f0Qxlbs6Fj5edIZcNuJGdIZcJuJHdIX/Fw4BjeE6V7afojMbJIL7eg6Nwu0NuFuB2htwMwO0OuQzAjbacqIb+Ka6AsyoSiFc1dUJ+RYu067cT5GYDbkfIzQTcrpDLBBzr6O6Hg0X1QCESiJ8sb5b+PewAuVWA2wlyKwC3G+SyAR9+giwKkUC8wKQnpc6QWw24HSC3EnC7QG4W4FhRTRtQiATiZj4hdYRcFcB1hlwFwHWH3EzAsbauPqhv7QbVUx7xysZOcSSVmekEuWqA6wi5SoDrCrnZgFMajSuPeKFFT0IdIFcVcJ0gVxFw3SC3CnCsqEb9+44R1xRy1QHXAXKVAdcFcisBx4qqeSQ+7Rrap3+Yvd0gpwI4ZcgpAE4dcqsBx5o71D+PivKI9zutX3BPCXJqgFOEnBLgVCFXAXAMH+IBBQyijbgiR01RgJwq4JQgpwg4NchVAVw1g+girtCroMqQUwecAuSUAacCuWqAq2YQScQHFHsVVBFyXQBXGXIdAFcdchUBx3g6ZZr1KXgHqgS5boCrCLlOgKsKuaqAYzwSn2ZBfg5QMRUg1xVwlSDXEXDVIFcZcCzAV02DyCCeGBUEqmYl5LoDrgLkOgOuCuSqAx7s74CwYD9QOeURT4oMBpWzAnK7AG4l5HYA3GrIVQccS1DcHxqIR4WA6pkJud0AtwJyOwFuFeQUAMcSI9WdCSCDOIU70SzI7Qq4mZDbEXCzIacCOMYjcQ+UEB4EDm8vsDvkdgfcDMjtDLhZkFMCHEsiMIhUHnEfH2+Ymx4FVJIBOQMuH3IGXD7k1ACPDPGH5Gj1p3OVRxxblZcAlPIk5Ay4fMgZcPmQUwMcW5obB95e6s8CkEB8dnIERM8IALtBzoDLh5wBlw85RcC9vbzg0llxQCESiGMrZ8cDtaYDOQMuH3IGXD7kFAHH5qRFQFiQ2uvDySG+LCcefIjs4Jwu5Ay4fMgZcPmQUwUcW55LZ9BIBvEZQX6wek4iUGwqkDPg8iFnwOVDThnwjLhQyE2OACqRQRy7cXE6xBCbG58K5Ay4fMgZcPmQUwbc18cb7rwsGyhFCnE/Xx+4Z00O0JtUuTDkDLh8yBlw+ZBTBhy77pJUiA0LBEqRQhzLTgwjO61iQL75WJX4++AwTT4+WM6AexDyioaO884F/e7eUgbcQ5D/Z0/JiOcvll/RTBrw9NhQkraQQxy76dIMstMquMrm6kUp4u/ew3bU3nhpOsRHqH90GIWuX5w6dJCGw+d/n+J3r8kGf18fC2+ZHuGZ/fC+HP78xXAe+fYVmUBgafV5+TlwGiWLxLrw0Xm5XC6SY5OGth747btHoKld/XejxvC5cc3CVPjskvRxP6enbwD+ubkAqpq6TL1tuoT38WeWpMH8jOhxPwdH6P/YVAA9/U5Tb5suhQT4whfXzYKYCaYcDp1tgFe3FUIvkfvY18cbHrh6NsxKDAeKkUWcEuQRwf7wpXU5k3qS4BP/5c0FUNHYacpt0wlw3JqZzCkaqpo64aWNZ6C7jwYyqhQaiIDnTOrAu4a2bnhp0xkorT83raVqvsQBJ484BcgXzYyGu1dnQ5C/76S/BiF/dWshlCn+C6BKuFV/87IMyEuNnPTX1DR3wd83noGuXuvfYo9CeOALjsAjQyc/jekcdMFHB8tgw5EKUFEZXw0A1wJxA/Jn3zsK9W09oEo494rzg+4eNNA34IR/bSuCktp2j982ncIDwG5ZlgG5KVNf11vX0g1/33gaOnoY8omKCPaDe9flQESIv1tfX1TTCv/YXADNHeoMtAJ8feC+K3PJA64N4sbo9e09xbDleBVY/QOlxYbCfetyp71UyekchPf2lcLRkiaP3TadCvTzgdtXZUJqTKjb19HS2Sumr+pa1RkAqFRyVDDcuToLggMmvyU5Vt29A/DvHUVivlyFczF9flUmhAe796KkWtogblRQ1QovbT5tyagc0b5ifjIsz4kTp9D1VFuPV8GW49Ueuz4digz1hzsuy4KoKWzeT7RD+bXtZ6Gops0jt02X8lIixDSVr8Nzz+WT5U2w4XAlnK1ts+RF/+alGbCEyImtbIs41tfvhP/sKxGjcpyXk11aTAhctSAFFsyMlrZE6XhpE7yzp8SUn0f1UmNC4LaVmRDk77l3Icc1z+/vK4UDRdaPFFVoZV48XLEgWdr1F9e2wYYjlXCyrMmULee5aZFw6/JM5d/02J20RNyovbtPHPix41S1lJE5bpZdvTAFcpLMmVfDHZ2vbS+y9c64uemR8JnFaR7d0hnejpM1sOFwheVTclaFg5AbFqfCoqwYU75fdXMXbDxaAQeLGjw+QAn2d8DiWbGwPCceYsNpHYU5lbRGfHinKpph+8lqOFrSCANuPlmCAxyQFR8GWQlhYlMz0YL332tq7xErVxoVXY0js8vmJJhyRN3JsmZ4a1cx9A872tMO4c4+3McwM36G6d8b902cKm8WU1r44e5OUC88gVX8DLGgYEFG1IiDvXTNNogP31lY09It1grjWmz8s7KxU5zPBOf+cNmR+Pj07zjnmpUYBtkJYZagPd5Ootd2FEFpXYdtVqDcsCQN5pn4Nn34nHhlS4FtVq6EB/uJozAnOojH7MGKATouB8UXVDyFQv/Ap386B8HH21sc5Yxvpo5vaJwYEST+bbejcm2HuC7ZZeUK7ozC+W9c8WN2dlm54qkVKJw1MeLE23mqBjYdrdTyxE5x4YHwuRUzPbICZTorV97eXQL5FS2gY/MzouCGxWkeXYHCmRsjrkHlDR3w1s5iaO3qA126OCsGrlqYrMyc5p7TtfDJoQq396eoeMInPFHYROeZ4WjEiGsSzum/u6cUTle2kN+5hvPfs904AlN21U1d8PqOIvI7lePDA8UUVRTRM4FyI2PENWvfmTr45HAFyfXkSVHBcMvyDKWPpMMjg98nvC9iySzcwklRZguHm36MuIbh3vx395ZATXM3UFl9snx2PFx2UcJ556hWtSPFDbD+YAWZNft4BsLrL0l16xwznNox4pqGRyDuK6gT7yLUN6Dueue02BC47pK0SZ3eVLW6evrFVs/hs43KHhyEr4l4wMvl85Jst/TOLjHimodHrX58sAJOljeDSuHRdFcuTJ7U+b9Vr6yuHd7bVwZ1rd3KTU/hypOESH7HKJ1jxG0SvrHtx4cqxGl7rQynS/Ac62vnJUKAn+fOfaLCls+u/FrYdqLa8ncNwiOL18xNhEuyYsCL4NuNcVOLEbdR+FDjeuftJ2vEvLmZ4dGvCzOjYWlunHiDAV3DHZ84jYWgd5p8tCfer8tnx8GizBhe922jGHEbj8wRc9nvHoTzsJdkx8Cls2JtdUQgHh6O587GE2rJXr8fFeoPK/MSYF5GpDgUnbNXjLjNwxE5nngIPzy1/tnh4wWZ8WEwOyUcZiWF23qHmnNwEM7WtIuTauEafk+tZsE3LMb7F0/Elh4XytMmNo4R54aqb+0WmBfXtou/T/aNhHEFBL51F+5Aw9Py4gnD/Bz2hXuiefOSunOgVzR2QGNb76TPlIhHWOIKHjyXOh4IhX8y3BzGiHPj1tHTLzBvaO05b2ed16dwx8wIFJvzss7vrXP4q4enXK1v7RE7nAcGB8/bj4Bw4ztGhbv5/pac/jHiHMdxhOPhE8dxHOEYcY7jOMIx4hzHcYRjxDmO4wjHiHMcxxGOEec4jiMcI85xHEc4RpzjOI5wjDjHcRzhGHGO4zjCMeIcx3GEY8Q5juMIx4hzHMcRjhHnOI4jHCPOcRxHOEac4ziOcIw4x3Ec4RhxjuM4wjHiHMdxhGPEOY7jCMeIcxzHEY4R5ziOIxwjznEcRzhGnOM4jnCMOMdxHNDt/wOdG+zphI7udAAAAABJRU5ErkJggg==", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for he in [0,2.0]:\n", + " for step in [0,5,9]:\n", + " tc_plot.ToricCodePlotter(z_cmap = charge_cmap, x_cmap = matplotlib.colormaps['binary']).plot_expectation_values(tc_plaq.ToricCodePlaquettes(\n", + " code,\n", + " x_plaquettes = np.zeros((grid.cols,grid.rows))-1,\n", + " z_plaquettes = {(p%(grid.cols+1),p//(grid.cols + 1),):bitstring_to_expectation_value(occupations[(he,step)][p]) for p in range((grid.rows+1)*(grid.cols+1))}\n", + " ))\n", + "\n", + " title_text = rf'$ \\langle A_v \\rangle $ with $h_E =$ {he}, time = {np.around(dt * step,3)}'\n", + "\n", + " plt.title(title_text)\n", + "\n", + "f,ax = plt.subplots()\n", + "ax.set_aspect(0.1)\n", + "\n", + "norm = matplotlib.colors.Normalize(vmin=-1, vmax=1)\n", + "\n", + "matplotlib.colorbar.ColorbarBase(\n", + " ax, cmap=charge_cmap_r, norm=norm, orientation='horizontal'\n", + ")\n", + "\n", + "ax.set_xticks([-1,-2/3,1],labels=['+1','+2/3','-1'])\n", + "ax.set_xticks([],minor=True)\n", + "ax.tick_params(right=False,labelright=False)\n", + "ax.set_title(r'$ \\langle A_v \\rangle $')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "c15671ff", + "metadata": {}, + "source": [ + "Next we can plot how the separation between charges evolves for many different values of $h_E$ ($h_E \\in \\{0,0.3,0.6,0.8,2.0\\}$). These results show a clear transition from deconfined to confined dynamics as $h_E$ is increased." + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "9a77f2a2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "\n", + "for idx, he in enumerate(he_list):\n", + " ax.errorbar(x = np.arange(len(separations[he]))*dt, y = separations[he],yerr = separations_sdom[he],marker='o',color = blues_color_list[idx])\n", + "\n", + "ax.set_xlabel('Time')\n", + "ax.set_ylabel('Charge separation (Manhattan metric)')\n", + "\n", + "plt.show()\n", + "\n", + "fig,ax = plt.subplots()\n", + "ax.set_aspect(0.1)\n", + "\n", + "bounds = [-0.05]+[np.mean(he_list[i:i+2]) for i in range(len(he_list)-1)]+[1.7]\n", + "norm = matplotlib.colors.BoundaryNorm(bounds, blues_cmap_r.N)\n", + "\n", + "matplotlib.colorbar.ColorbarBase(\n", + " ax, cmap=blues_cmap_r, norm=norm, orientation='horizontal'\n", + ")\n", + "\n", + "ax.set_xticks([np.mean(bounds[i:i+2]) for i in range(len(bounds)-1)],he_list)\n", + "ax.set_xticks([],minor=True)\n", + "ax.tick_params(top=True,bottom=False,labeltop=True,labelbottom=False)\n", + "ax.set_title(r'$h_E$')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "cbc9a122", + "metadata": {}, + "source": [ + "### String Fluctations" + ] + }, + { + "cell_type": "markdown", + "id": "ffbe1a18", + "metadata": {}, + "source": [ + "Next we want to focus on the string of gauge flux connecting the charges. We can initialize that string by choosing the X-string we use to excite on top of the WALA state. In the present case, we excite `[cirq.GridQubit(-2,1), cirq.GridQubit(0,1), cirq.GridQubit(1,2), cirq.GridQubit(2,3), cirq.GridQubit(3,2), cirq.GridQubit(4,1), cirq.GridQubit(6,1)]`, which stretches across the entire grid as show in the schematic:" + ] + }, + { + "attachments": { + "image.png": { + "image/png": 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" + } + }, + "cell_type": "markdown", + "id": "75a9b975", + "metadata": {}, + "source": [ + "![image.png](attachment:image.png)" + ] + }, + { + "cell_type": "markdown", + "id": "07508b97", + "metadata": {}, + "source": [ + "This excitation initializes two charges on the extra charge sites to the left and right, connected to the rest of the system by two additional qubits. By not applying the local field terms ($h_E Z_l$ and $\\lambda X_l$) to these qubits, we can keep the charges on their initial sites and monitor the behavior of the string with pinned ends.\n", + "\n", + "We will monitor the string dynamics by measuring the two-point correlator $\\mathcal{S}_{ZZ}(t)$ defined as:\n", + "\n", + "$$\\mathcal{S}_{ZZ}(t)=\\Re[\\langle Z(t) Z(0) \\rangle] \\times \\langle Z(0) \\rangle.$$\n", + "\n", + "Inspired by the implementation of these circuits on the quantum hardware, we utilize an auxiliary qubit to measure the two-time correlator $\\Re[\\langle Z(t) Z(0) \\rangle]$ for each qubit. Then we measure $\\langle Z(0) \\rangle$ to get the second term in the product. Let's make the list of circuits to simulate:" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "b901211c", + "metadata": {}, + "outputs": [], + "source": [ + "he_list = [0.1,0.6,1.4]\n", + "dt = 0.3\n", + "coupling = 0.25\n", + "trotter_steps = [0,2,4,9]\n", + "auxillary_qubit = cirq.NamedQubit('a')\n", + "string_excitation_indices = [(-2,1),(0,1),(1,2),(2,3),(3,2),(4,1),(6,1)]\n", + "string_excitation_qubits = [cirq.GridQubit(idx1,idx2) for idx1,idx2 in string_excitation_indices]\n", + "\n", + "time_evolution_circuits = []\n", + "\n", + "for target_qubit in grid.physical_qubits:\n", + " for he in he_list:\n", + " for step in trotter_steps:\n", + " time_evolution_circuits.append(cirq.Circuit.from_moments(\n", + " cirq.H.on(auxillary_qubit),\n", + " *lgt.variational_ground_state_minimal_qubits(grid,angles[he]),\n", + " cirq.Moment(cirq.X.on_each(string_excitation_qubits)),\n", + " cirq.CZ(auxillary_qubit,target_qubit),\n", + " *lgt.trotter_step_minimal_qubits(grid,dt,coupling,he,extra_z_plaquette_indices=[(0,1),(3,1)])*step,\n", + " cirq.H.on(auxillary_qubit),\n", + " cirq.Moment(cirq.measure(auxillary_qubit,target_qubit, key=\"measure_all\"))\n", + " ))\n", + "\n", + "initial_state_circuits = []\n", + "\n", + "for he in he_list:\n", + " initial_state_circuits.append(cirq.Circuit.from_moments(\n", + " *lgt.variational_ground_state_minimal_qubits(grid,angles[he]),\n", + " cirq.Moment(cirq.X.on_each(string_excitation_qubits)),\n", + " cirq.Moment(cirq.measure(*sorted(grid.physical_qubits), key=\"measure_all\"))\n", + " ))" + ] + }, + { + "cell_type": "markdown", + "id": "b1ad5a60", + "metadata": {}, + "source": [ + "We have now expanded to 20 qubits and our observable requires the dynamics to be run separately for every gauge qubit. This means the simulations are a bit more expensive and may take up to one minute. Enjoy a short break while qsim does its work!" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "8cabb739", + "metadata": {}, + "outputs": [], + "source": [ + "results_string_dynamics = simulator.run_batch(time_evolution_circuits,repetitions=reps)\n", + "results_string_initial = simulator.run_batch(initial_state_circuits,repetitions=reps)" + ] + }, + { + "cell_type": "markdown", + "id": "6b564aef", + "metadata": {}, + "source": [ + "We can now take those bitstrings and assemble $\\mathcal{S}_{ZZ}$." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "e42ffad0", + "metadata": {}, + "outputs": [], + "source": [ + "zz = {}\n", + "\n", + "counter = 0\n", + "for idx,target_qubit in enumerate(grid.physical_qubits):\n", + " for he in he_list:\n", + " for step in trotter_steps:\n", + " if idx == 0:\n", + " zz[(he,step)] = []\n", + " bitstrings = results_string_dynamics[counter][0].measurements['measure_all']\n", + " zz[(he,step)].append(np.mean(np.sum(bitstrings,axis=1)%2))\n", + " counter+=1\n", + "\n", + "z0 = {}\n", + "z0_sdom = {}\n", + "\n", + "for idx,he in enumerate(he_list):\n", + " bitstrings = results_string_initial[idx][0].measurements['measure_all']\n", + " z0[he] = np.mean(bitstrings,axis=0)\n", + " z0_sdom[he] = np.std(bitstrings,axis=0)/np.sqrt(np.shape(bitstrings)[0])" + ] + }, + { + "cell_type": "markdown", + "id": "e5495cb2", + "metadata": {}, + "source": [ + "Using these measurements, let's calculate $\\mathcal{S}_{ZZ}(t)$ and plot it as heatmaps:" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "8f58c501", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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SuWX37t1o26kjwsvnQ1y5/EDSk+GtxzDuOovxY8bhqy+/pJOlDfn3mHFjMXXmb7B0qAb4ZEvyAAFu+y/A++wdbN+0BVWqVFGqVF1BTdxJ+Xfztq0RVqkAYmsVf7e5xBMdA88tJ5HzZSz2bNuBDz/80Nmlcgk7hCdOnoTxkyfB0rgs4JP1/Q9mJ8ttwfCrVQ9LFy6C0Wh0Zqlc599tO3XA4SsXYG5fDUhnev+DL96FccsJTJ88BX0//dSZZeoSauIywnbtr7/NwIgxo2FpWwUonEvKk2A4egVeBy5i7YpVaNy4sTNK5Tr/7vRxV/x16ijCm5ZLubnEExUDz73nkQ9G7ArcDh8fH2eUyi2XL19Gw2ZN8SS7CZFNywNurtaf9PQlTKsOo31Tf8ydOQseHh7OKFWXUBOXMf/u3qsnAg/uS5x/S+VNTj5iyLf4bthwmvonA1vV09CvSeL8WyosJz91HWnP3sWmgPWoU6eOnKVyy+bNm9GlR/fE+bdUKCd3CtTElci/pfImJ69buoKYk6dNm9bRpfKdf3fsgHDf/Mnn31JhOfnucxg/eizl5Eny71Fjx2D6rJmwdKj6bv4t+YX+n5Nv27gZVatWdXSpuoeauIM5cOAAWrD8u3LBlPNvqUTHIM2Wk8j1Mha7A7ejQIEC0DPx679//Gmy9fxbKqHhMG07TTl5gvy7TccOOHL1H5hZA/eWEFFZ49JdGDefwLRJP6Ff376OKJN4AzVxB6///m7sGOn5t/QXp5w8Qf6999RRmKXm31KJioFx7wXkhaeuc3KWfzfwa4qnObwQ2aSctPxbKmJOfgjtmvhj3qzZlJM7CGriDs+/awCZveXZkI5zcrvyb6noPCe3K/+WCuXkDoeauFryb6noMCd3WP4tFZ3l5A7LvyVvkHJyR0JNXE35t1R0kpPLkn9LRSc5uSz5t1QoJ3cI1MTVln9LL0LTObms+bdUNJ6Ty5p/S4VycruhJq7W/FsqNx/BuEZbOfnb/NsoIKJuCWWai8Zzcqfk31KhnNwuqImrOf9OzdR/9WFN5ORvr3/imw9xZZ2Qf+ssJ3d6/i0Vyslthpq42vNvqbDrrmw9hZyhMVzm5G/z7ylv8u88Tsy/dZKTK5p/S4Vy8lRDTVwCf6xYjr4DP1Mu/7YhJ/9r1x5UqFABvNChaxcEHvxLufzbhpz81NHjMJlUXGsCnj17hnKVKymbf6cyJ+/ZvjN+m/6L0tWoHvpSCAn89+oV4GoAPFUuXVxcEGd0R2xcHCwRfH2TTUjIC8DDTd3NheFqQKynG169ChOjCV6IjY2FxWJGrNEdMKj8z54dB2nc8SI0ROlKuEDl76Y6+Kxff6xcsBheKw7C5cRVqJLYOLjvDEb2oGs4sj8INWvUBE/s2BKIPs3bidk+Hqv0OxvDI2DaeBzVM/rgnzNnuXIP2bNnxz/BZ1Em3APGlQcBi0q/2/XmYxjn7sawXgOwfNESpavhAopTUr0kqwme5kwr/ZKczmoua/9GmWx5sHX9RmTOnBm8smrVKvTu3xfmmsWA4nmgGh6+gHF7ML74tB8mjP8RBrWPZt9DdHQ0Phv0BVZsDIC5Uw0gewaoAkGAy7Er8Aq6hLXLV6JJkyZKV8QN1MRTycuXL9GmY3v8ff0SzB2rKS+HHryAaeUh9O76MaZOngI3Nzfwzrlz59CoWVO8yJUeUTWKKD/9P38bXkeu4I/FS9CqVStogUWLFmHg4C9h8a8AlMyrvJQPPIUcb6R8wYIFla2HM6iJ2wDLQkeOGY1fZs+EhY1mnPlJwoScuQHT9mDMnzUbnTt1hpZ48eIFmrdpjeB7N2BuUgYwpnF+EbFx8Ai6iKxPI7Bn+w4UK1YMWuLEiRNo0twfL0vmREy90oBBgRVXL8NhWnMEdUr5Ys3yFVxFVGqBmrgdbNq0CV17fgJz/VLO/cAEy7/3nEWmK0+xK3AbypQpAy3CZNzX336D+cuWwOxX3rlTfxZR7TiDygWLY+PadUifPj20yOPHj+HXqgUuvnoKS5vKzj1Zsvx73REMH/wNRo4Ywe3ae6WhJs5bTq6h/Fu1OblG8m/V5uSUfzsUauI85eQazL9Vl5NrMP9WVU5O+bfDoSbOS06u4fxbFTm5xvNvVeTklH/LAjVxtefkOsm/Fc3JdZJ/K5qTU/4tG9TE1ZyT6zD/dnpOrrP82+k5OeXfskNNXK05uY7zb6fl5DrOv52Sk1P+7RSoiasxJ6f8W96cnPJv+XNyyr+dBjVxNeXklH/Ln5NT/i1/Tk75t1OhJq6WnJzyb/lzcsq/5c3JKf9WBGriasjJKf+WPyen/FvenJzyb8WgJq50Tv7iFeXfcubkDUvD48Q1yr/lzMkrFBBnkZR/KwRr4oTz2bhxo2BKn07InjuXcObMGaXL0RwxMTHCoMFfCQY3N6FuwwZCaGio0iVpjkePHgm+VSsLrh7uwvfjxwtxcXFKl6RLaCSusCzy9PQkuSYj169fR/78+Sn/ljEnv3fvnriPCWWgJk4QBMExNDwhCILgGE018SdPnrCMX+kyND11ZtKQkI+wsDCYzWaly9A0z549Ez9boBU008QDAgLEL4Od8ftvSpeiSdjJsVvPHsiZOxcuXLigdDmaJDQ0FEVLlYRv1cqwWCxKl6NJDh06hOwffIAhw4ZCK2iiibOm0r1PL6BzHQwfPQpBQUFKl6Q5fp/5O7bs/xORDcuiYbOmCAkJUbokzS09bdWhHZ76pMNtj2h0792TZpUO5v79+/Bv0wpxbaph3rLFWL1mNbQA902cNRPWVMwNywCl88HSujKat22Nu3fvKl2aZjh48CCGjhoJc/tqQKXCeO6TAS3atdHUlFRpho/8DsdvX0GUny8srSph26H9mP7rL0qXpRkiIyPRuHkzvCqfDyhfAOYO1dGrX1/xw2G8w3UTZ02ENZPneTOIb4xI4VwIq/ih+IZFREQoXSL3sOVjzdu0gqVFRSCzt3hbVIMyOHXvOr4dPkzp8jTB+vXr8dv8uTB3rA64GoA07jB3qYmR34/D/v37lS6PewRBQM++fXA9LgyxtUu8vjFXZpgbl0WjZn7cex6um/iwEcPFZhLVqFyi22NrFsdNQwQ+6d2LpqR2wE6Cjfz98Mo3v3hyfIurAeY2VTB7yUKsXbdWyRK55+LFi+jWuycsXWoC3sb/35HZG5Z2VdCyXRvcuXNHyRK5Z+asmdi0dzcsrSoDCS/GVfZDvPgwszhz53lWaeBZZM5ctADmdlVfj14S4uICS8uK2Bq0l0SnjbCTX48+vXEDZsTWSOaj6l6esLSrhh59+pDotENkNvRrCnOjMkCeLO8+gM0qqxYST6QkOm0Xmd+O/O71LCeN+zv3RzUsg+CHt7gWnQaeRaaFvTFpE4xeEuLhLr5xJDrtE5kRzSsmHr0khE1JG5Ym0WmnyEQKlyeOrVWcRKedItPSqhKQJV3yD2KzynZVuRadBq5FZu5kRi8JyZyORKe9IjOZ0Usiyn5IotNOkZkibFZJotM+kVkkd8oP9vLkWnRy1cRZk2jZvm1ikWkNEp12i0xriKLz7nUMJdFpm8i0RrzoHDcWBw4ccEaJ2hOZ1uBYdBp4E5kn71x7R2Rag0SnnSLTGmxK2paJzkUkOm0VmdZgorN9VbRo25pEp60i0xqcik4DdyKzfTIi0xoJROevv82Qq0Rti0xrsClpu6okOu0RmdYg0Wm3yLRGvOj8eui34AWDZkSmNd6IzhFjRpPotFVkWiNedPqR6ExOZLIo0JrItAaJTisis3XLlEWmNd6Izvl/LOFGdBo0JTKtQaLTfpFpDSY685LoTE5knrhz1brItAaJzpRFpm9+6yLTGpyJToPmRKY1SHTaLTKtQaLTTpFpDRKd9otMDYlOgxZFpjVIdNopMq1BotN+kWkNEp32i0yNiE6DJkWmNUh0vhWZN2GxTWRag0SnKDIbiCKzrG0i0xokOmGvyJQmOm+rWnQaNCsyraFz0RkvMi3NKzh29JIQHYvOeJH5LG96oGJB2bajZ9HpEJEpSXRWUbXoVF0TZ3/sjRwlMq2hU9HpUJFpDZ2Kzrcis2l5eTeUQHT+MuNX6AWHikzORadBjSLzmY8DRaY1dCY65RCZ1tCb6HS4yJQkOmvgu7FjdCE6ZRGZHItOgypFZmPHikxr6EV0yiYyraEj0SmbyJQyq9SJ6JRNZHIqOg26EJnW0IHolF1kWkMHolN2kWkNHYhOuUUmj6LToBuRqXPR6RSRqWPR6SyRqWfR6RSRyaHoVEUTn79oIaLzZpVfZFojczpElsyDaRocjU/5ZTrMVQoqMnpJROl8CIkyY8eOHdASN27cwMF9+xFVu7iyhbBZZb0SWL9mrTgz0BLr1q2DxTuNc6PA980qKxbA5GlToQZU0cRHfzcSmZ5HAGdvKFvI9YdIe+kBfpnyM7TGknkLYPzzPBASpmgd7nvPo2yhYmjfvj20RMGCBTHwiy9gWncUiI1TrpDoGJjWHsX4CROQMWNGaIm+ffsin1dGGA5dUraQRyEwHvoXC2fPhRpQRRPPnDkzdgVug2n7GeCBQuY3JAzGgL+xfvVa5MuXD1qjXr16GPfdKJjWHgGiYpQp4txNZLz6FFs3bISbmxu0xrSfpqBsdh+47wpWpgBBgOfGE2hQoSqGfaOezNZRGI1G7A7cjrTHrgFXHyhThDkSplWHMGfGbyhfXublozw1cUaZMmUwf/ZsmFYfBsKdvNQvKkbc7tjhI1G/fn1olSFff43GVWrCM/Ck+AfvVB6FwLTzrHiyzpJF4dhMJlxdXbF1/UZkvvocOH3d6ds3HL6M3GECVi5dBhelvIfM+Pj4YPO69TBuOAq8eOXcjcfFwRRwFN3bdUS3bt2gFlTTxBmdO3VGry5dxR3ltCkpG71sOYHGlWvgmyFDoGXYH/Yfi5fAJ9INhr//de7oZe0RzJs1C2XLloWWyZQp05tZZTBw/7nzNnztIdIevCyOVE0mE7RMnTp18MOoMa8HfFExTo0CS2bKgRnT1XX1SFU1cca0n35G6ay54f7nWadsz3DkMvJYDGJz0+roJSHsD1yckh69KjoAp4xeNhxDz45d0KVzF+iB0qVLY8HsOTCtPOScWSWLAtccQcCqNcifPz/0wOAvv0LT6rXhufmEc2aV528hw6VHCNywSXVRoOqaONtBbEdluvpMftHJROaRK7oYvSQkb9682Lg2AMYNx2QXnWz0UjpLbkz/WR0m31l06tgJvbt0g2n1EXlnlUxkrjiEUcOGo0GDBtALbMC1bOFi5I1yk190MpEZeBo7twYia9asUBuqa+JOE50aF5mqEJ3nb2laZCouOlkUuEm7IlMVotOsPpHJRROPF50sQzWtlmFKqhORqajoFEXmGU2LTKVFpygyX2lbZCoqOuPUKTK5aeIMlqH27Oxg0akjkamY6IwXmTO1LzIVE53XHsJLJyJTKdHprlKRyVUTZ0yfMtWholNvItPpolOHItPpovONyFyvI5HpdNF5Xr0ik7smnlh03rTvxXQqMp0pOt3/0qfIdJroZCJzpf5EplNF5yN1i0zumnhi0Rlsu+jUuch0iuhkIvOKfkWm7KIzXmT66lNkOkV0mtUvMrls4naLTjZ6IZGZCtF5KvVTUhKZqROdwakXnSQyZRadcXEwrVe/yOS2idssOkWReZJEZqpEp2vqRCeJzNSLzm2pFJ0kMlMtOr3WpG5WKYrMjOoXmVw38YSi0+PPc9JFpvl1c6LRSypEJ5uSShGdJDJtEp0L58yVLjpJZNomOqvVhlGq6ORIZHLfxONFJ/sQiVXRSSLTZtG5SaLoJJFpGx07dESfrt2ti04SmTbh4uKCpQsXwUeK6GRRIEcik/smHi862Q5PUXSSyLSLunXrWhedJDLtYurkn1IWnfEis3wVEplyiU7za5E5myORqYkmzmDZqyg61xwW34hEkMiUX3SSyJRddLIoMNd/cVhBIlMe0RnHp8jUTBN/Kzo7dXktOuPeTElJZMovOklkyi86rz+EV9Bl7Nm2A15eXkqWqFnR6c6pyNRUE38rOrPkgsee16KTRKbMopNEpvyik0WBq0lkyio6z/MrMpPiImjgK7GfP3+OEmXL4HG+DEh36QHOnjxNObiD2bdvH/xat0R04RyokCYrDv61j/uDX218OeRrzN++AYiIwsh+X2D4t0OVLklTWCwWlKtcEVe94+D5z33xGOY1B9dcE2ecPXsWTZr7Y9nCRZSDy8S06dMxd9FCHN63n3JwGYiNjUWTFv7iFxyvXracZpIycOfOHdSqXw/fjxzNdQ6uySZOEAShR7jPxAmCIPQMNXGCIAiOoSausCw8d07a5QOI1BMTE4OVK1ciJCRE6VI0y6NHj7Bu3TrExS/xJZwONXGFBNY3Q7+FX9vWqFKrBpYtW6Z0SZrj2bNnqFG3Nnp99TlKlC2NCxcuKF2S5jh69CiKlymNbp/3R5PmzfDqlYO/Ho2QBDVxJxMaGop6jRti1oZVsPSoA0un6uj/zWAM+HygOHIk7Cc4OFhs3KfjXiKie108LJ0TlWtUx9q1a5UuTTPMnTcP9Ro3Qkj9Eojo2xAHnt1CyfJlceXKFaVL0x20OsWJ/PPPP2jo1wTPcnojql5JwPXNOdQSBdPWUyiRKSe2bdrM5UV41MLy5cvRd+AAmGsXB4rlSXyZgG2n0b9HL0yeOEn8yDuReqKiotD3swFYu30LzG2rAFnSv73P5eRV8XK5K5f+AX9/f0Xr1BPUxJ1EQEAAuvfuBXPd4kDpZD6IFBcH96BLyHDtKXZu3aaJDyE4EzaLGTT4KyxZsxLmZr5A1v83l0SXC9geDN+8hbA5YL24HpuQzsOHD8V17FcsIbA0rwB4erz7oDtPxatfDvn8C4wdPQYGA0325YaauBPy72EjhmPmogWwtKwI5MyU8hMu3oVxzznMmfG7Zj6M4Iz8u1mrFjj/5B7MjcsCxmSaSzxxcfAIuoTMD19h97YdKFmypDNL5Tr/btqiOV6Vyo2YmsUBQwofRPrPLF6aoUax0ghYtQbe3t7OLFV3UBOXOf9u0a4NTt66AnOLCoCXp7QnPgmFaeMJdGvXEb9N/4U+3m4l/27s74eQvJkQXb1oys0lIf/cgengZSyeNx/t27eXu0zu8++vvv0GFr/yQNHc0p4UE4s0u84g+/NI8SJehQsXlrtM3UJNXO78O5c3ouomyL+lYomCcesplKSc3Hr+XaeE9OaS9FvNt53GAMrJU86/t22BuV3i/FsqLCc3BV3GqmWUk8sFNXEl8m+pUE5ue/4tFZaT7wiGrw/l5O/k3839cSUyBBb/9+TfUqGcXFaoiSuZf0uFcnLb8m+pxOfkD15h93bKyVOVf0vlFcvJj6NG0VKUkzsYauKOzr9vX4W5ua/0/FsqlJPbnn9LRczJL2HxvAW6zcnf5t/NygNFbIiorOXku88i+7MIyskdCDVxNeTfUtFxTm53/i0Vnebkjsi/peJy6hpMBy5RTu4gqImrJf+Wis5ycofm31LRWU7u0PxbKpSTOwxq4mrLv6Vy8S5Mf57H7F9/02xOLkv+LRWd5OSy5N9SoZzcIVATV2P+LZUnL2HaeFyTOfnb/DtfJkRXkyH/loqGc3JZ82+pUE5uN9TE1Zp/S4VddyXwFEpk1E5O/jr//gzmOsXlzb91mpM7M/+WCuXktkNNXM35d2py8oOXkOEq3zm5Ivm3znJyRfJvqVBObhPUxHnIv6Vy6S5Me/jMyRPl303Kqqu5aCQnVzT/lgrl5KmGmrgEvh0+DDOWLEBkl5rK5d9SefISbsv2id+W3qZNG/BCkVIlcMM9CjH1y6izuSTkzA2kCbqIB/fuI1MmlZ7Qk3Dz5k0UKlIYsa2rAiXyQtXExMJ9w1FUyJIHR/YdULoa1UPzFQm0btESplgXuJ25Baj5nBcdA8/j15A/X35UqlQJPNGvVx+433wC3H0KVRMSBtP5u2jTrh1Xo8Ts2bOjYZPGMB2/IV5lUNVcuQ+3u8/Q95OeSlfCBTQSl8iDBw/Q2L8ZrkW/hKVpOSCNO1RFaLj4ic5GVWpg+ZKlMJlM4PE7R1u2a4uwsj6I8y0AuKhsRH79IYx7zuOnH3/EZwM+g4va6rMC+1P/fvx4TP5lKiytKgN5s0FVxAlwO3AB6S89wo4tW1GxYkWlK+ICauKpIDIyEr37fYoNu3fA3KoSkFklI7Gbj2EMPIWxw0fimyFDuGsuCbl9+zYa+jXFHbcoRHxUEnBXwbJJQYDr8avwvnAfWzduQo0aNcAz27dvR4eunRFeoyiECgXVcbJkn0befALF02UTV1mxmQMhDWriNjBr9iwMGT7s9Yi8UE7lChEEGE5cQ9rjN7BxXQDq1asHLWCxWNC1R3fsPBwEM1vDnN5LuWKiYmDcfRYFPNKJK39y5coFLXDt2jU08GuChxncENm4HOCm4LJJdl2ggKPo0qotZv46A+7uKpvlqhxq4jZy+PBh+LdqiVelcyOmWhHnj2ZY/r3rLPJEuGH3tu3Il09FSx4dADssp06bhtHjv4eFfVpTiak/y78DT6Fl/cZYNG8+0qRJAy3Bvp2ejcgPnA+GuU1lIJ0CEdzFOzDuCMbv035Bz56UgdsCNXEec3IN5N+qz8k5z79Vn5NT/u0wqInzlpNrKP9WZU6usfxblTk55d8OhZo4Lzm5RvNvVeXkGs2/VZWTU/7tcKiJ85CTazz/VkVOrvH8WxU5OeXfskBNXO05uY7yb8Vycp3k34rl5JR/ywo1cTXn5DrMv52ak+s0/3ZqTk75t+xQE1djTq7z/NspObnO82+n5OSUfzsFauJqy8kp/5Y/J6f8W/6cnPJvp0FNXE05OeXf8ufklH/Lm5NT/u10qImrJSen/FvenJzyb/lzcsq/FYGauNI5OeXf8ufklH/Ln5NT/q0Y1MSVzMlL5YJbqJnybzlz8upFYAq+Rfm3nDl56Tww7v+H8m+FoCauYE7eskNb5M3jg6ULFlH+LVNOzr4T9dvBgyn/ljEnX7riD6z5YwXl3wpBTZwgCIJj6OvZCIIgOIaaOEEQBMdoponHxMRg0eJFCA8PV7oUzXLnzh2s37Be6TI0zcGDB3Hy5Emly9AsgiBgxcoVePLkCbSCZpr4oMFf4dOBn6Fz927iG0U4FrPZjI+aNELHj7ti2bJlSpejSc6cOYPG/n6o17ABrl+/rnQ5muTnqVPxSZ/e8GvVAtHR0dACmmjirKksWbsKsV80w5+n/sakKZOVLklTsJMiOzneM8Yh5pN66D/oc5w+fVrpsjTF8+fPxQZurlsC4ZUKiB9aolmlY/nrr78wZsJ4xAz0w8X/nmDgl4OgBbhv4qyZ9P9iIMwdqonXdDC3r4YfJk3C7t27lS5NM/z08xT8eeIIIpqUBbJngLlRafEyAk+fPlW6NM1Egc1atcQLn4xAsTyIK5cfD7wEdPy4C80qHcStW7fQqn1bWNpWATJ5i9eAWb5xHZYsWQLe4bqJsybCmom5aXngg4yvb8zgBUubymjbuSNu3rypdIncs2fPHoyb+CPCW1f6/8fYi/sgtHBWsfGwBkTYx1dDvsa5x3cQXbPY6xtcXBDxUSn8dfo4fpw4UenyNBEFNmzWFGHVCgMFcry+0ZgG5o41MODLL7h3EAauRy+tWyK0SDagVN7Ed374AcKrFRY/GkxTUtthJ8G2HTvA0qKieHJMSHTt4rgQ8gCff/WlYvVpgeXLl2PRyuUws8swGBJ8GMnNVbxswISfJ2Pnzp1Klsg1giCg6yfdcdcYh7hqRRPfmT0DLP4V0KS5P9ei08CzyLzw4iGiPyqV7P1xVQrjflqQ6LR39FKlAJA/mQsZGQwwN6+AZetWk+i0Q2T2HTgA5ua+gNHj3QekM8HiVx7tO3ci0WmHyNx1/DAimldM/sqWJfMitEQOrkWngWeRaW5TSWwmycKmpM18SXTaKTLjKhV6/wONHmK2SKLTPpGJbBne/8A8WUl02ikyzR2rAx7v/+anmHqluBadBq5FptHKxYzc3Uh02isyrV1vhInOhiQ67RGZ1mCi876JRKfNIjNj2pQfzGaVHItOrpr4s2fP3ojMcv8XmdYg0Wm/yLRGCR+EFiLRabPItIaLCyLrvxadEyaR6LRJZFqDY9Fp4E5kFs0OlErlJVtJdNotMq0RXYdEp10i0xpvROePU37Crl275CxRuyLTGpyKTgNPIvP88/uIrlfSpufHi85O3T6mKaktItMaCUTn0qVL5ShR+yLTGkx0Ni2Hdp06kuh8D1N+/jllkWmNN6Kzacvm3IhOA1cis3Xl94tMa7wRnXtPHyXRaavItAaJzhSjwEbNmloXmdbwyYrwih+S6HyPyBw78UerItMaTHReevWUG9Fp4Epkmuz8VhYSne8VmXvY6EWKyJQyJW1UhkRnkijQv3UrhOTNJElkWiOu/IckOu0RmdaIF50b+BCdBs2JTGuQ6ExWZLKDVrLItAaJzmRE5m3pItMaJDqTjwKrpkJkShGdnapzIToNmhSZ1iDRabfIlCQ6X5Do/L/ILJ86kWkNEp3viszqqRSZ1siekQvRadCqyLSG3kWn3SJTypS0hb5Fp90i0xokOmG3yNSA6DRoVmRaQ8ei02Ei0xo6Fp0OE5nW0LHodJTItIb4iU4Vi07VNfHg4GD0/+Jzx4hMa+hUdDpUZFpDh6LT0SLTGnoUnQ4VmdYwGESPplbRaVDf6MUP5qZlHScyraEz0SmLyLSGzkSnw0WmVNF56pguRKcsIpNj0WlQ56VlHSwyraET0SmnyLSGXkSnbCJTiuj099W86JRVZHIqOg2qE5nvubSs3GhddMouMq2hA9Epu8i0hg5Ep+wik0PRqYomvnr1avlFZipE58/TpkJrdOvVQ36RmQrRee7cOWiJly9fOkdkpkJ0RkZGQksEBQU5RWRKFZ1fDhkMNaCKJn773l3A2wikcVe2EDdXCOm9cOvOHWiNO/fuITqDSZnRS0K8PMX9zK6nrSUiIiIQFhYGpHduTJUccRm98OzZU835h4ePHgKeHvIveLCGwYDYjOrpE6po4t8M/hqVPywKj11nFK3D9eAlfGjwwtTJP0FrbFy9Ft7n7gFX7itXRGwcTBuPY2Cfvqhbty60RPbs2bFiyTIYt54CwiKUKyQkDMadZxC4cTO8vJQ/oTiSDu07oG3jpjBuOAbEKRh5nr6OzLdDsXyROlaqqKKJGwwGbFizDlnv/QecUijL+/c+vE/dwq6t2+Dp6QmtkStXLgRu3ARj4Gng+X+K1ODx5zlUzF8EE8f/CC3SsmVLDOo/AKZtp8UTltOJioFpyylM+mE8atasCS0yf/ZcFHJPB7egC8oUcP85TLvPYve27ciY0Ukr6Hho4owMGTJg97Yd8Np7Hrj3zLkbf/4fjJuOY+uGjWKz0yrVq1fHlAkTYQo4BkQ6WcoE30DWB2HYtDYArq6u0Co/fv8DqhYugTT7/3HuhgUBxt1n0bxeA3w+8HNolTRp0mDH5q3wDr4DXL7r3I2HRcC0+jAWz5uPkiXl+SQ5102cUbx4cSxbuBjGtX8DryzO2WhkNExrjuCnHyegRo0a0DoD+g9Aq4ZNXo/InbUKh41e9l0UT9LsZK1l2Kxy/eq1yPo0Ai7nnPe5A9fj15DfkBaL5y+Ai9LeQ2Zy5syJwA2bYNx0Anj60nlR4Loj6P9JT7Rv1x5qQlVNnNG6dWt83qcvTOuPyj8lZaOXzSfQ8qNG+GzAZ9AD7A984Zx5KODqDddDl50zetlwHMsWLhJP0nogffr02LN9B0yHrgAPXsi/wRuPkPbcXewK1GYUmBzVqlXD1ImTxZGxM2aVzNf55i6AyRMnQW2orokzWGZaOV8R2UWnKDJdvMSmpvXRS9Ip6c6tgfA+e1de0flGZH7W+1O0adMGeqJo0aJYvmSp/KLzjchkUWDu3LmhJ/r364c2bFYpt+hkIvNWCDavW6/KKFCVTdwpolPjIlMNolPrIlNx0akDkam46LyvPpHJRROXXXTqRGQqKjrP3EQWHYhMxUSnTkSmoqIzTJ0ik5smLpvo1JnIVER03n8Or30XsUcHIlMp0aknkamI6IxVr8jkqok7XHTqUGQ6XXS+EZlLFyzUjchMlei874BPqupQZKZKdEZE2f16HruCVSsyuWvijhSdehWZThOdOhaZkkUnm/HYIzp1LDIli86Nx+0TnaLIDFWtyOSyiTtEdOpcZDpDdOpdZMouOklkyi8676tfZHLZxO0WnSQy5RedJDLlFZ0kMuUXnWF8iExum7jNopNEpvyik0Sm7KKTRKbMojOWH5HJdRNPtegkkWmz6Czolg5uUkSnDj+R6TDRefiqNNFJIlN20emxKxgV8hTkQmRy38RTIzqZyCxgSItFc+fT6EUO0Zng0rLs5EqkUnQuXmJddJLItE90NmpqXXS+EZm8RoFcNnFJovONyNy5JVBsSkTqp6RbrYhOj73nRZE54YfxTq9PF6KTRKbdzJ81J2XRyaHI1EQTTyg6TcmJThKZ8otOJjLvv+J29KJ60flGZPrXrU8iUy7RGcanyNRME2ewDPaPpKKTRKb8opNEpuyiM15kLlmwkKJAOURnLL8iMykugga+2n3oiOH4ff0KmLvWEq9o1qpMVSxfvJQOfgfBvnC3YrWquJQJiCmXH6bF+/DH3AWUgzuQy5cvo0LVKghv7isORNLvvYgLwWcoB3cgs+fMwZDxY2DuUx8ef51HFY+s+Gvnbu5nkppo4nFxcajfpBEOng9G0Rx5cPLIUcrBHcyDBw9QsmwZmN0EDPqkDyZPmKh0SZpj06ZN6NzrE3GUyD6URjm44+nWqwdW7wxEFjcj/jlzltscXHNNnBEaGiqOyEd/N5JycJk4evQoNmzZhIk//Mj96EWtzJwzG+m906Frly5Kl6LZWeWQYUPRt1dvrnNwTTZxgiAIPcK12CQIgtA71MQJgiA4hpq4QkRERGDAoM8xZerPoERLHm7evImW7doiKChI6VI0S2BgINp17ohHjx4pXYpuoSauAPfu3UOFalWw5MBOjP19mthowsPDlS5LU+zZswdlK/pi6+N/0biFP36Z8SudLB28Imz02DFo/8nH2Hj7PEqUK4Njx44pXZYuIbHpZA4ePIjmbVrhlW9+xNYsBsTEwjPwFHKFQfzwTP78+ZUukWvY4fzTz1MwbuIEWNpVBQrmED/Ba1p5GP6162HJ/IV0ESk7efXqFdp26oBDl8/D3K4KkM4EXLwjfiDs1ylT0ad3b6VL1BXUxJ0E282/z/wdQ0eNhKVlRaBwgmWQggDD0SvwOvwvAlatQcOGDZUslVvMZjM6d++GPSf/hrlTdSBj2v/fGRUN44bjyBebRlyDnSdPHiVL5ZYrV66ggV8TPM7qicgm5QC3BEtNn7wUPy3doVkLzPl9Jjw8PJQsVTdQE3dS/t3j097Ysu9PmDtUBTKnS/6BNx7BuP4YRg4diuHfDqNPnKYy/27YrCnueQER7CTp7vbugwQBrkEXkfb4dWwJ2IBatWopUSq3bN26FZ27f4zwOsUhVCyU/IMiosSrBhY1Zcb2TVvwwQcfOLtM3UFN3An5d+PmzXBDMMPSogKQxj3lJ4SGwbT2b9T3rYqVS5fBy8vLWaVynX+z6X1YjSKIq1aUXRQ95SdcuQ9jwFFMGPc9Bn3+BZ0sJeTfY78fh59/n/E6ovLJauUJAtz2X0C6C/fFRl65cmVnlapLqIk7M/+W2iyiYygntzX/lgrl5Lbn31KhnNwpUBN3dv4t/UUoJ7c1/5YK5eS2599SoZxcdqiJK5V/S4Vyctvyb6lQTm57/i0VysllhZq4kvm3VCgntz3/lgrl5Lbl35JfmHJyuaAmrnT+LRUxJz+NXGGCLnPyRPl3+6pAgVTk31LReU5uV/4tFcrJHQ41cTXk36nNyY9cQcDK1brJyR2Sf0tFpzm5Q/JvqVBO7lCoiasp/5aKjnLyt/l3WiCihZ35t1R0lpM7NP+WCuXkDoOauNryb6mEhsNr7d/4yLeKZnNy2fJvqWg8J5ct/5ZcAOXkjoCauBrzb53n5E7Jv3Wekzsl/5YK5eR2QU1crfm3TnNyp+bfOs3JnZp/S4VycpuhJq72/FtHObki+bfOcnJF8m+pUE5uE9TEeci/dZCTK55/azwnVzz/lgrl5KmGmrgE+g7oj0Wb1iGmf2N1TD1T4j8zXGcEYt7vM9GzR0/wQs68PniYLx3QrBJUz9mbwIr9ePz4MbJlywYeuHTpEooXLw70aqCsY5CCIMAl4AhKIC3Onz6jdDWqh77ZRwKTJ0xEjVLlYPojCHhlgWp5FALT4n3o17sPun3cDTyxffMWZL8RCvedwWzYCNVy6hpM204jICCAmwbOKFasGObNny/OIphIVC0xsUiz9RR8woANa9YpXQ0X0Eg8FdPREaNGYsa8Oa9XTOTOAlVx7hZMO85g7syZ6NqlK3jk+fPnaNa6Jc49uwdz+2qAKQ1UQ2wcPHacRpbbL7F723aUKFECPHL8+HE0aeGP/0rmQkydkoBBRXHQSzNM6/5GrRJlsXbFKnh7eytdERdQE08lGzZsQLdePRD+USnAt4DS5YijVve955HxylPs3BqIcuXKgWdiYmIw+NshWLhyOcydawA5MildEhBmEVdOVPQphE1rA5AhQwbwDPtS46Ytm+Oy+TksrSoBnipYCXL7CYzr/sbQL7/G6JEjuXENaoCauA1cvHgRDf2a4GnudIhqVBZwVSiVMkfCtOEYSmXOhcANm5Ali8pmB3awYuUKfDpgAMx+5YCyHypXyN1nMK0+hAG9+mDS+AlwdVW5E5FIVFQU+n8+EKu3boK5QzUgW3rl8u8TV+F14BJW/7ECfn5+ytTBMdTEbSQ0NBStOrTD8Zv/wty2CuBtdH7+veYIenTojF+mToObm4qW4zmIM2fOoLF/M7wonBXRDcsABoPz8+9dZ7FswSK0adMGWmT+ggUYNGQwLP6+QHEf5+ff24PxwfNI8cNqhQqpbMkjJ1AT5zEn10D+reqcXCP5t6pzcsq/HQY1cZ5yco3l36nOyVe8yclzypiTayz/VmVOTvm3Q6EmzktOzvLv9cdQKov28m/V5OQazb9Vk5NT/i0L1MR5yMkfhsC0Vtv5d2py8kb+fggpnA3RDco47mSpg/xb0Zyc8m/ZoCau9pxcR/l3qnPypywnrwp42XFlQZ3l34rk5JR/ywo1cbXm5Cz//vM8Ml7VV/7t1Jxcp/m3U3Nyyr9lh5q4GnNyyr/lz8l1nn/LnpNT/u00qImrLSen/Fv+nJzyb3lzcsq/nQo1cTXl5JR/y5uTU/4tf05O+bfToSauhpyc8m/5c3LKv+XPySn/VgRq4krn5JHRlH/LnZNT/i1vTp41HeXfCkJNXMmc/MZl8frklH/LmJNnMcL91lPKv2XMyWN9siBHhIHyb4WgJq5gTj5l2lTkzZMHHTt0VLoczebk3/84Hp/26k35t4w5+dr1ARgzchTl3wpBTZwgCIJj6OvZCIIgOIaaOEEQBMdQEycIguAYauIEQRAcQ02cIAiCY6iJEwRBcAw1cYIgCI6hJk4QBMEx1MQJgiA4hpo4QRAEx1ATJwiC4Bhq4gRBEBxDTZwgCIJjqIkTBEFwDDVxgiAIjqEmThAEwTHUxAmCIDiGmjhBEATHUBMnCILgGGriBEEQHENNnCAIgmOoiRMEQXAMNXGCIAiOoSZOEATBMdTECYIgOIaaOEEQBMdQEycIguAYauIEQRAcQ02cIAiCY6iJEwRBcAw1cYIgCI6hJk4QBAF++R+HTXa/9zK02wAAAABJRU5ErkJggg==", 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", 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", 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", 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Ix65i1zZvVKlSRekyuWbPnj1wb9sGgUWyQsib6duVoeGwP3MfeVOkx36fvciYMaPSZeoGauJmgo0Ca9Wri0ehnxFUPg9gYx3zDgFBcPC9g+qly2PLho1wdHRUqlRuOXToEJq2agmrWqVg/2vJH06GwTf9ELTyACaOGYv+ffvRyTIR+ffYceMwa/5cBFXMB6RPGfMOggDr60+Q7PEH7Nvjg3LlyilVqq6gJm6m/LuBW2ME5EmPiMLZgLiaR3gEkpz7F5nCbHB4/wHkzJnT3KVyCTuEp86YjikzpsO+c13Y5c8W533D3/gjaIkPapevjDUrVsLe3t6stfKcf//evBn+unkFgRXyAQ52cd/5yVvYn3sAL8+Z6NqliznL1CXUxGWE7dq58+ZhxJjRCKqQF8iSVsqDYHn7GRxvPsfWzVtQu3Ztc5TKdf7t3q4tTl69gCTdXGGdJrnBx0SGhCJ47WFkCAQO7NmLbNnibvoEcOfOHdSsVwdvHCwQUionYCVBpX36CodTd9CsfiMsXbQYtra25ihVl1ATlzH/btfBA3uPH4mZf0vlv5x8xOChGDmccvKfwVb11KpfD+/T2sO+VXUx/5YKO+yDD15A5LEr2Ll1O6pWrSprrbyye/dutGrXNmb+LRXKyc0CNXEl8m+p/JeTV3MpJ+bkSZMmNXWpfOff7i1gVdvlp/m3VFhOHrzqICaMHkM5eaz8e/TYMfBauODbLDJ2/i2VaDn5n7v3oHz58qYuVfdQEzcxJ0+eREOWf+d1ij//lkp4BOzO/YvMYTY4tG8/cuXKBT0Ttf57qucMg/m3VMLf+iNosQ9qla+MtZSTi/l3k+ZN8ffNawhkDTy+/FsqYk7+L2bPmIluXbuaokziP6iJm3j998ixY6Tn39KfnHLyRObfUhFz8nVHkOGroOucnOXfNerWxtuklggpKTH/lsp/OXlT14ZYtngJ5eQmgpq4GvLvhOTkp+5ixBD95eTG5N9S0XtOblT+LRXKyU0ONXG15N9S0WFObqr8Wyp6y8lNln9LhXJyk0JNXE35t1R0kpPLkX9LRS85uSz5t1QoJzcJ1MTVln9LLwKWd57D8cYzTebkcubfUtF6Ti5r/i0VysmNhpq4WvNvqbz8CPtTdzSVk3/Pv9Ox/PtXWMgdUekwJzdL/i0VysmNgpq4mvNvqQQEw8H3tiZy8m/5d0tY1XGBffUSqjkpaSUnN3v+LRXKyRMNNXG1599SifZ3V3jMyb/n3zM9Yd+5DuzyqS+64D0nVzT/lgrl5AmGmrgE1m9Yj649eyqXfyciJz92+AhcXFzACy3atsaBf04pln8nJie/8PcZODgoHKdJ5N27dyhRxkXZ/DuBOXmHlq0xf85cpatRPSp+J9XD5y8BgKUFYKuS+CQuLCwQaWuFiMhI7n7Jhv2MmoW9LSxUvo8trKwARzsEfPkiRhO8EBERgaDAIETYWH07ltWMtZUYVX7w/6h0JVxATVwCPbt3x6bVa+F44jYs7j6HKomMhM3Fh3C6+w5/+55CpUqVwBP7du1B+5oNEDBlE0KfvIYaifj0FV+9vFHCKhWuX7rClXtwcnLCzavXUMwmNexP3gZCwqBKXn2E/YErGNa9NzasXqt0NVxAcUqilmRZIaR0LvVMSYND4XD6LoplyQmfnbuQJk0a8MrmLZvRuXt32DavAodyBaEWQh++QNDSP9GzUxdMmTgJlpYqee8TSFhYGHr26Y2N27cisFJ+IJVKTkSCIA6QHG+9wNZNm1GnTh2lK+IGauIJ5NOnT6Ic+uf29W8fAqXl0PvPcDh5G53atMcsT09YW6s7jpDCtWvXxN8gDSmcBUncKsFC4ZNl4KnrCNt5GutWrkbjxo2hBVatWoVe/foiiA1GsqdXXspfeIiMYdailM+dO7ey9XAGNfFEwLLQUWPGYM6iBQiqnF+5ZVoPXsLhgh+WL14Cd3d3aIkPHz6gYdMmuPHuOZJ0rgurpOZfCSKERyBo6wkkffAWB/fuQ4ECBaAlzp8/jzr1XfEpcwqEF3NWZsXV12BxFlm1VFn8sXETVxGVWuBzTqgwbCo9ZdIkbFq1RpmcPFb+rbUGzkidOjVOHDqC9jXqI2DyRrPn5LHzb601cEbp0qX/y8lTKZOTR8u/9+7aTQ08kdBInLecXEP5t1pzcq3k36rNySn/NinUxHnKyTWYf6stJ9di/q2qnJzyb5NDTZyXnFzD+bcacnKt59+qyMkp/5YFbc8TtZCT6yD/Vjon10P+rXhOTvm3bNBIXM05uQ7zb3Pn5HrLv82ek1P+LTvUxNWak+s4/zZXTq7n/NssOTnl32aBmrgac3LKv2XNySn/NkNOTvm32aC5o5pycsq/Zc/JKf82Q05O+bdZoZG4WnJyyr9lz8kp/5Y5J6f8WxGoiashJ6f8W/acnPJvmXNyyr8Vg5q40jn5lyDKv+XMyTvUQsifZyn/ljMnz+0Eh7/uUf6tFKyJE+Zn586dgkPyZIJT5kzClStXlC5Hc4SHhwv9Bg4QrGysheq1awr+/v5Kl6Q5Xr16JZQqW0awsrERJkyaKERGRipdki6hkbiCvH79GkmSJEGKFCmULkWzPHjwADly5KD8W8ac/NmzZ+I+JpSBmjhBEATH0PCEIAiCYzTVxN+8ecMyfqXL0PTUmUlDQj4CAgIQGBiodBma5t27d+IPR2sFzTTx7du3iz8GO2/+fKVL0STs5Ni2gwcyZcmMGzduKF2OJvH390f+IoVQqlwZBAUFKV2OJjl9+jScMmTAoKFDoBU00cRZU2nXsQNQqRCGjx4JX19fpUvSHAsWLsCeY4cRUqUQatari48fPypdkuaWnjZu1hRv0zvgsUWweDzTrNK0PH/+HPUbN0JkxQJYtmYVtmzZAi3AfRNnzaRm3ToILJIFcE6PIJecaODWGE+fPlW6NM1w6tQpDB01CoENSgElcuJ9pqRo+HsTTU1JlWb4yJE49/A2QqsWQlCNovjT9xi85sxRuizNEBISgtqu9fAlZ1ogTybxy3Ydu3YRvxzGO1w3cdZEGjZxw/sUNkCODN+uzJQGAdnTiG9YcHCw0iVyD1s+xk6KQbWKff+adWiVgrj45D6GDB+mdHmawNvbG/OXL0FgvZLf/hyDrTUCG7hg1IRxOHHihNLlcY8gCOjQuTMeBH5ARJFs365MmxyBJbOjVr263Hserpv4sOHDcfHBHYQW/e+N+Y+I/JnhF/gR7WlKahTsJFiLjV6KZgFy/XeSZFhaig1n8eqV2Lp1q5Ilcs+tW7fQtmMHBNUvBTgm+f8NKR0RVLs4Gv3eBE+ePFGyRO5ZuHAhdh3ah6DyeWL+BcbcGfEhbRJxkMLzrNKSZ5G5cMUyBJbJJTaVGFhYiLGKz9FDJDoTCTv5eXTuhIcRAYgok+fHOzjYiY3Ho0tnEp1GiMya9eogsFI+IGPqH++QwwkBxbOhlmtdEp1GiMwhI4cjsHIBwObHv0kUWjIHLj++z7XotORZZAaVywMksf35naytEFguD4lOI0VmMItR4vr70RlSIbBKARKdRopMFMke5/0iSucm0WmkyAxiI/AUDj+/E5tVVszHtei05FpkpkkW/52T2ZPoNFZk2hr4i4qFspHoNFJkxgubVZLoNE5kZk0X/52T2HItOrlq4qxJsIwwhsg0BIlOo0WmIUTR+fg+hpLoTJzINESU6Bw/FidPnjRHidoTmYbgWHRa8iYyL9y/9YPINASJTiNFpiHYlNSVRKdRItMQTHTWKSGuxiLRmUiRaQhORacldyKzbO4fRaYhoonOufPmyVWitkWmIRzsEEii0ziRaQgSnUaLTENEic6BQwaDFyw1IzIN8Z/oHDFmFInOxIpMQ3wXnXVIdP5EZDZq+rtBkWkIEp0GRGajhvGLTEP8JzqXr13Njei01JTINASJTuNFpiFE0ZmMROdPROZ5vzuGRaYhSHTGLzJzpTMsMg3Bmei01JzINASJTqNFpiFIdBopMg1BotN4kakh0WmpRZFpCBKdRopMQ5DoNF5kGoJEp/EiUyOi01KTItMQJDq/i0y/yESKTEOQ6BRFZg0WBVbKnziRaQgSnfgmMkckWmRKE53/qlp0WmpWZBpC56IzSmQG1TRCZBpCx6IzSmS+y+AIFHGWbTt6Fp3/F5m5Ey8yJYnOvKoWnapr4uzDXstUItMQOhWdJhWZhtCp6PwuMqsUlHdD0UTnnLlzoRdMKjI5F52WahSZ71JYm05kGkJnolMOkWmI0Mrf/nStXkSnyUWmFNFZvxRGjhujC9Epi8jkWHRaqlNkyjf91LPolE1kGsJKP3+6VjaRaYhUSXUjOmUTmZyKTktdiExD6EB0yi4yDaED0Sm7yDSEDkSn3CKTR9FpqRuRqXPRaRaRqWPRaS6RqWfRaRaRyaHoVEUTX75yJcLSJpVfZBoimT1CMqfG7HnaE0SeXl4ILOksv8g0RIGs+BgSiP3790NLPHz4EKdOnEBomdzKFsJmleVyw/uPreLMQEts27YNQUmsgCxplS0kiS0Cc6fH9FkzoQZU0cTHjBqF1CEAHr1WtpBXH5H01WfMmTkLWmPN8hWwP30X8P+qaB02p26jeN6CaNasGbRE7ty50at3bzgcuMKG5coVEhYBh/1XMWnKZKRKlQpaomvXrsieMh0sbyq8kuzDF9jffoGVS5dBDaiiiadJkwYH/9wPh2tPgI8ByhQREAz7c//Ce+s2ZM+e+D9QpFaqV6+O8SNHw8HnIhAWrkwRt54i1eMP8NmxE9bWCs8IZGC250wUz5QDNr63lSlAEJDkyDXUKFsBw4YMhdawt7fHoX37kfTea+D5e2WKCAmDg+8dLJm/ECVLloQaUEUTZxQrVgzLFy+Fwz/3xR1lVsIj4HDmPsaNGo3ffvsNWmXQwIGo/UslJDl8TfzAm5U3/nA4cRMH9+5D2rQKT4dlwsrKSjxBpXn2Cbhp/hUilpceIkuINTatXQcLpbyHzGTLlg27vXfA/u97wJdA8248UoDDX3fRrrk72rZtC7WgmibOcHd3R8c2beFw7oH5pqRs9HLJD7UrVcXgQeoxznLAPtjrV69FtnA7WF58YL4NB4XCYc9FLFu4GMWLF4eWSZ06tXiicjh5C3htxkz68RskveCHQ3/ug4ODQtLPTFStWhUTx4wTR8QIN99SP5srj1A4gzPmqeyvR1oIKlPY4eHhqFStKi5+eomwYvJbfsu7z5ErwBJXLlzU/MEfxePHj1G0ZAl8rlUUyJ5e/tHLznPoUKcR5s/RnjCOi82bN6NT314IdK8oLq+UlU+BsN90Cru3bkeNGjWgB1jbatayBfZePYPgCvnkX3Hl9wrpbr3BzavXkC6dzN8Q5XkkzmBZ6d5du5H6Q5D8opOJzH/fiDmbXho4w9nZGTu3bYf9/suyi04mMos6ZYOXBmVxfLRs2RKdWreFw77L8s4qmcj0uYjRw4brpoFHzSrXrV4DZ6uk8otOJjLPP8SBvX+qroGrsombTXRqXGSqQnTe1rbIVFx0sijw6HXNikxViM4Q9YlMLpp4lOhctmiJPKJTJyJTUdHJRObxW5oWmUqLTlFkBltpWmQqKjoj1SkyuWnijFatWqFD6zamFZ06EpmKic7vInOR5kWmYqLz8Rs46kRkKiU6bVQqMlUvNuUWnXoUmWYVnToVmWYVnToUmWYXnX7qFZlcjcRNLjp1KjLNKTptTutTZJpNdDKRuVd/ItOsovODukUmd03cZKJT5yLTLKKTicxH+hWZsovOKJFZRp8i0yyiM0T9IpPLJm606CSRmTDReeR6wkUniUzZRSeJTJlFZyQTmfdULzK5beKJFp2iyHxEIjMhojPMNmGik0Sm/KKTRGaCRaej790Eic5vIjOb6kUm102c4TVrNopmzQnbG9JyL8t7L5DVygHr16yl0YsEWINgjSLppcfAozfSRi/7LqODe2vxJEsYpmjRoli5ZNm36CqQ/flOCSJz32V4b/kDOXLkMEeJ3DOgf3/UrVId9mf+lTar9HuFlC+/iP6NtyiQuyYeJTpTvZcgOklkJlp07pIoOklkJo4WLVqgc5t2hkUnicxEYWFhgbWrViOblaNh0fnhCxw4EpncN/Eo0XmATUnjE50kMo2iWrVqhkUniUyjmDXDM37RGSUyS/9CIlMu0RnyTWQu5khkaqKJM1j2KorOMz8RnSQy5Redbz6RyJRZdDKRmTnIEhtJZMojOiP5FJmaaeLfRWerNnA4z0Tnf02GRKb8opOJTJ8LJDLlFJ1P3ooi8/C+/XB0dFSyRM2KThtORSZ339iU+o3OS59fIrSoM30jU65vdJYqic81iwDZ0tE3MmWA/ehuxz49v32jMyyCvpFpYgRBQHP3lth75QyCKuQVfRov38jUfBNnvH//HoWKFcHr5NZI/uoLrl66TDm4iTl+/DjquTVCWI70cEmaAaeOHacc3MT0GzgAy322i/HgqB59MXzoMKVL0hRBQUEoUdoF9/EVSZ6+x6njJ7nNwTXXxBlXr15FHdd64ldvKQeXh9leXli6agX+On6ScnAZiIiIQJ0G9cUfON6yfgPl4DLw5MkTVP61GiaMHst1Dq7JJk4QBKFHuBabBEEQeoeaOEEQBMdQE1dYFl67dk3pMjQLW7m0adMmfPz4UelSNMurV6+wbds2RMr5O6JEvFATV0hgDR8xAq3atEa16tWxfv16pUvSHO/evUPF6lXRcWAfFCpeFDdu3FC6JM1x5swZlCxVCoOHD0Njt8b48uWL0iXpEmriZsbf3x/1XF1x1PcENhz+E0t3bsGosWPQt18/ceRIGM/ly5fFxn3J8jOCu9bAS5esKFuxArZu26p0aZph+fLlcK1fHwOnjceGY/tgnTwpSpcpg3v37ildmu6gJm5Gbt68iVIuLkiTLRMWbtuI1OnSIneB/Fh/yAcXr1/Fr7/9hrdv3ypdJtds2LgBFatVwZtfciKsehHA0hIolgOBLX6BR89uGDRksDgTIhJHaGgounbrhmmeM7B41xZUqvkbbO3sMNRzMhp3bINfKlSAj4+P0mXqClpiaCa2b9+Ort27od+4Uajf/PcfbmeNZfHUmTi0cw927dypiS8hmBM2i+k7oD/WbN2MwCZlAaeUP97pazAcdp5HqWy5sXubt7gem5DOy5cv4dbEDXYpkmHM/FlImizZD/e5fuESRnbphe5du2H0qFGwZCdRQlaoicsMa86jRo/Gug3r4bl6KQoWKxrv/Q/v+RPThozEHC8vtGnTxmx18p5/u7o1wvV3zxDYwCX+HyKOiITt0RtI89Qfh/7cj8KFC5uzVK7zb7cmTVC/VXN49O8Vb3N+++o1RnbuCedMmbFh/QYk+0mzJ0wHnSbNlH+vP+hjsIEzajSoJ+bko8eNpZw8Qfn3FwQ2K2/4l+StLBFasyjl5InMv5koNjS6TpfBCQu2b6Sc3ExQE5c5/07rnPl7/i0VlpOvO7gHl25co5w8HjZs+C//rpALYdULf8u/pfJfTt6+B+XkCcm/pUI5ufmgOEXG/Lv/+NFwbdYk0c9DObkR+bdUWE6+6zxKZaWc/Gf5d5IUyTF6/syf5t9SoZxcXqiJK5h/S4Vy8lj5d+NGuP5eQv4tFZaTH7uONE8+UU6ewPxbKu9evxFz8mwZM1FObmLolGji/PvYqZNYf2ivyRo4g3LyWPm3lcT8WyosJ69RDC9dsuk+J4/KvwdNmyAp/5ZKWqf033LyFMkoJzcx1MRNnH8v2LoBqdOmMfk29J6TG5V/S6VYdt3m5LHz74o1fzX5NmxsbTF0xiS4dWpLObkJoThFJfm3VPSWk5s0/5aKznJyU+bfUqGc3HRQE1dZ/p2QnHz60FHwmj1bszm5LPm3VHSSk8uRf0uFcnLTQKc/leXfUtF6Tv49/7Y2cf4tFR3k5HLl31KhnNw0UBNXYf4tlVz584k5+eWb1zWVk4v5d/Wq3/LvajLl3zrOyc2Rf0uFcnLjoThFxfm3VFhjWTJtFg7u2M11Tq5I/q2znFyJ/FsqlJMnDmriHOTfUjnis09cT85jTh4j/25YGrC3hergPCdXMv+WCuXkCYeauARYA9+ybSuW7dqqaHwihQd37sLD1Q1rVq2Gm5sbeCFfkUJ4aB+O8LollY1PpHD+PuyOXseLZ8+ROnVq8ICfnx/y58+PcQu98Gv9ulAzYaGhGN29LyxDw3Hk0GGly1E9Kv+0qAPXevXw9fMX7Fi3EWo+5wUHBWHNvEXIkT0HSpcuDZ7o1rEzbO6/Ah69gap5/wUOlx+jSbOmXI0SnZycRBm/ZckKvHn5CmrmryPHcfXMebRtzddsUiloJC6RFy9eoLGbG5KnS4Nx82fBMWlSqIkXT59hcPsuKFqoMFauWAEHBwfw+JujjZr+joDSORBZLi9gYQFVcf8F7PdewoxJk9GzR09YqK0+A7CP+pQpUzB/4QJMWDIPxcuq60TPfqdzueccHNy2Ezt37OBuIKIU1MQTQEhICHr07Anfv05j5prlcM6VA2rg/Om/MbJbHwwdPBgDBgzgrrlE5/Hjx6jpWhdPbMMQXKcEYGuthu4Hq9N3kOzqE/js2IWKFSuCZ/bt24e27dqh46C+cGvXShXHy5dPnzGuZ38gJAzbt20TZw6ENChOSQB2dnbiKHdg337o6OqGU4ePKVoPO/9uXLICI7v2xpZNmzBw4EBVfCCNwdnZGVfOXUDdPCXgsM4X+BigbEEhYbDfcQ4F3gu4cfkq9w2cUbduXZz55x/4rNuMqQOHIzQkRNF6Ht69j451G6NY/oI4dvQoNfAEQiPxRPLXX3/h96ZN0aR9a3Ts39vszZPl35MHDsOTew+we9cuZM+eHVqCHZazZs/GmEkTENTQBciZQZn82/ssGv1WC6uWLhdP4lqC/Tp9u/bt8eCxHyavWIT0Gc2/j0/sO4jpg0dipqcnPDw8zL59LUBNnMOcXAv5t+pzcs7zb7Xn5JR/mw5q4pzl5FrKv1WZk2ss/1ZjTk75t2mhTJyTnFyL+bfqcnIN5t9qy8kp/zY9NBLnICfXev6tipxc4/m3GnJyyr/lgZq4ynNyPeXfiuXkOsm/lcrJKf+WF2riKs7J9Zh/mzUn12n+bc6cnPJv+aFMXIU5uZ7zb7Pl5DrOv82Vk1P+bR5oJK6ynJzybzPk5JR/y56TU/5tPqiJqygnp/zbDDk55d+y5uSUf5sfauIqyckp/5Y5J6f8W/acnPJvZaBMXOGcnPJvM+TklH/LnpNT/q0cNBJXMCd3a+eOJw/8KP+WMyevVhAO5x5S/i1jTs5+KWjxZE/KvxWCmriCObl761bImiUrli5ZQvm3TDl5u04dMWTAAMq/ZczJN23ZgjWrVlH+rRDUxAmCIDiGMnGCIAiOoSZOEATBMZpp4uHh4Vi1ejW+fv2qdCma5cmTJ9ixY4fSZWia06dP48KFC0qXoVkEQcCmTZvw5o3Kf5Bbj018wKCB6NW3N9p6tFf1L9LzSmBgIOrVd0U7j/ZYv3690uVokitXrqBho0aoU7cuHjx4oHQ5mmS2lxe6dO8Gt99/R1hYGLSAJpr4uvXrsWWHN1qv88K5G9cwY6an0iVpCnZS9OjYARny5MCUP1aj34D+uHTpktJlaYr379+jYePG6DlxFNz7dEODRg1pVmlijh07hqnTp2HyjnUIsQL6DxwALcB9E2fNpHe/vqg1aQAc06ZCrYn9Mc1zBg4dOqR0aZph5qxZuHrrJrpMHAnnfHnQefwINGzcCG/fvlW6NM1Egb83a4oKdX5D1fp10KCdO7IXyi/OemhWaRoePXqE5i1boJvneKTPmhldPcdh914frFm7FrzD9RJD1kSKlyqJEp2bIU+18t+vf3b5Jo5NXIALZ88hRw55fy5N6xw+fFhczz7Nez3SZc74/fqNMxfg5a17OHb4CKytZfy5NB0wYOAA/H3xAiauXQIrKyvxutDgEAxs2hatm7fA8GHDlC6R+yiwbPnyKFnvV9Ru3/L79c/+fYgpbXvg8IGDcHFxAa9Y8jx6afx7E2StUiZGA2dkKVEIRd3ro259V5qSGoGfnx/cW7dGvzlTYzRwRov+3RFsEYkBAwcqVp8W2LhxI7bt8Maw+Z7fGzjDNokdxiybC685c3DgwAFFa+Q/CuyI1NmzoFa7FjFuy5I7J9qPG4pGbo25Fp2WPIvMN2FBKNup2U9vL9akDmycnUh0GjF6Yblso67tUaTcj9/EYw2n3+wp2Omzm0SnESKzT9++GLNsPpKnSvnD7ekyZsCIhbPQpm1bEp1GiMxL16/CY8Kwn35jt0zNaijjWpNr0WnJs8j8dXRPWEYbvUSHvWFVBnQk0WmkyHRt7x7n/ZKmSI4hi2aR6DRSZOYqkC/O+xUt60Ki00iR2Xv+NNjZJ4nzfk16d+ZadFpyKzIn9keSZPH/fqW1nR2JTiNFpqG/N8JEZ6dxw0l0GiEyDcFEp3PBfCQ6Eyky08WKAmPDBoI8i06uxOa7d+9QrGQJFO/cDHlj5eDxQaLTeJFpiA0z5+PVrfskOhMpMg0RJTrbtGiJYUOHyl6jFkWmIXgVnZa8icxsVcskqIEzSHQaLzIN0bJ/D4SQ6Ey0yDRElOhkGe/BgwdlrVGrItMQvIpOS55E5uuQryjT8eci0xBRorMNTUkTJTINwRpS39lTsGPPbqxbt06WGrUuMg0his4FM9G6TRsSnXEwa/bseEWmIaJEZ+MmTbgRnZZaEZmGiBKd50l0JlpkGoKJzqGLSXTGFQWyr9QbEpmGKFquNFr26UqiMw6ROW3GdIMi0xBMdIZaW3AjOi25EpnJkxn1XCQ64xaZV27ekCQyDUHf6Px5FNi0eTNUqFtDksg0RMN2rUh0GiEyDRElOnf58CE6VS02EysyDfH08k0cJ9FplMg0BInOmCLzrwvnMWnd0gTl4PFBovNHkVmi3q+okwCRaYhn9x9gSrueqhedlloUmYbISqLTaJEpRXQGg0RnlMgcvmCmyRp4lOgcvXSO7kWnEE1k1k6gyDREljy5uBCdlloVmYbQu+g0VmQaQvxGp5e+RaexItMQ6TNl1L3onGWkyNSC6LTUqsg0hJ5Fp6lEpiH0LDpNJTINoWfRaSqRybvoVF0Tv3z5sslEpiH0KjpNKTINoUfRaWqRaQg9ik5TikzeRaeqxKZcItMQehKdcolMQ+hJdMohMqWIzgG/t0Hblu6aF51yiUxeRael+v60bGmzNnA9iU45RaYh9CI65RKZhtDLNzrlFJm8ik5LtYnMsp2aK7J9rYtOuUWmIfQgOuUWmYbQg+iUW2TyKDpV0cS3/PGH7CIzIaJz9hwvaI3OXbrILjITIjqvXbsGLfHp0yeziMyEiM6QkBBoCV9fX7OITKmic/CQIVADqmjiT589hWPqlLBxsFe0DitbWyRzSovHT59Cazx7/hwZnLMpMnqJToo0qWFjZyf+PW0tERwcjC9fviBDlsxKl4LM2Z3x9s1bMaLUEq9evYJDsqTiYEBJLK2skC5bZrFvqQFVNPGB/QcgT8Ys+Huhsr8Qc2njbth9CcaMKVOhNTZt2IDDm71x4fgpxWoIDwvDrN5D0LF9e1SrVg1awsnJCatWrsSEbn3x4Y1yq3BePHoCzwHD4b19OxwdHaElmjVrhhpVq2P58ImIjIxUrI5Tu/bh1umzWLFsOdSAKpq4paUltm7egneX7+DWvuOK1OB35jLu7D6Cvbv3IEkS5aZqcpE5c2Z4b9uGBUPH4oXfY0VqWDt1NjKkTouJEyZCizRq1AidO3bCpB79ERYaavbtB339inGde2PcmLGoVKkStMiihQsR8ekr9ixdo8j2/W7ewZYZ88Q+kSpVKqgBVTRxRsqUKbFvjw/OLt2MV7f/Neu2/Z+9xPGpi7Fj23ax2WmVChUqYNKEiZjefQACA8y7Cufo9t24cfos/ti02ayrNszN+HHjkDmdE5ZMmGbW7TIZP3PQSFQsVw49e/aEVrGzs8OuHTvgu3U3Lp84bdZtf/7wEfP7DMfSxUtQuHBhqAXVNHFGwYIFsWr5ChwaMwdfP/ibZZuhgUE4OGo2pkyYiIoVK0LrdO/WDdUqVcbCIWPNtgrn/rWbWD99Lnx27xFP1lqGzSo3bdiIG/+cx/4t3mbb7tbFK/D51VssWbxEce8hN5kyZYL3tu1YMWIyXpppVhkeFo6F/UehbevWaNq0KdSEqpo4w83NDV06dMSR8fMQIbOYYU3s+LQlqFG5Knr06AE9wD7gixcuQvAHf3gvXin79vzfvcfMnoOxfOlS8SStB1KkSCGesFZNm407l+VfhXP+xCnsXr0Ru3fu0mQU+DN++eUXTJk8GXN7DUOQGWaVf8xcAKfkqTBl0mSoDVV9YzMKJi1q16uLD0mtUKmvh2zbubhhF75cuI1/Tv+lm4M/iufPn6NU6dLoMmkkXKpVkk1kjm/bDfV+rYEpk6dAb+zatQvdevbAAp+tSJ0+nWwis5+bO3Z679BsDh4fHTt1wq2nfug1d4o4C5JLZO5buhaXL1xUTQ6u6pG4uUSn1kWmGkSn1kWm0qJTDyJTadHpp0KRyUUTl1t06kVkKik6j3nv0YXIVEp0sgn0rMGjNC8ylRSdn1UqMrlp4nKJTr2JTCVE5zeROUcXIlMp0clE5qeXb3QhMpUQneEqFplcNXFTi049isyEiM7ti1aYTGQuW6IfkZkQ0Xn78lWjn0+PIjMhojMwIMDo59viOV+1IpMLsSmX6NSzyDSH6NS7yDSH6NS7yJQiOm8+eYje86YmWnSqXWRyNxI3lejUu8g0h+jUu8iUW3SSyJQmOiM/ByZadPIgMrls4saKThKZ8otOEpnyik4SmfKLzs+ciExum3hiRSeJTPlFJ4lM+UUniUx5RWc4RyKT6yaeUNEpiszpJDITIzpDPn6SJDr//43MZSQyEyg6V0/3kiQ6SWTKLzq3eM5HhhSpuRCZXIrNxIpOJjIDLt4RRSabZhHSefHiBUq6uMQrOqNEputvNTGZw4OfB9FJItM4OnXujBuPH8QrOnkTmdyPxKWKziiR6bNrNzXwRE9J4xeda6d6iSJzwvgJZq9PD6KTRKbxLFywIF7RyaPI1EQTNyQ6SWTKLzqP7fDBjdNnSGTKJDrZBHn24NGoULYsiUyZROdnTkWmZpp4XKKTRKb8olMUmdO8SGTKKDqZyPR/+RpLlywlkSmD6AznWGT+gKABho0YIeQoWUTofWyTUKD6L0Jbj/ZCZGSk0mVphuDgYKF02TJC64G9hLXnjgkZMmcWvL29lS5LU9y+fVtIkzatsGDPH8K09csFpwwZhKdPnypdlqZYvGSJkC13LmHFxWNC3XYthRq1agnh4eEC73ApNuMSnVfv30HmVGlJZMooOpMkc0Srps1IZMokOrv26C6uuiKRKZ/oPOJ7AgiP4FZkxkYTTZzh7++PEaNGYuTwEZSDy8SZM2fgs3cvJowfTzm4TCxbtgxJkyWDe8uWSpeiSUJCQjB8xAh08PDgOgfXZBMnCILQI1yLTYIgCL1DTZwgCIJjqIkrRHBwMPoNGIBZXl5m+9V5veHn54dmLVvA19dX6VI0y969e9GqTRu8evVK6VJ0CzVxBXj27BkqVKqEf25ewZLVK9CsRXN8/Sr/L3bricOHD6NMubIISmKNxk2aYP78+XSyNPGKsPETJqBDl874gFCUdCmFs2fPKl2WLqEmbmZOnTqFUqVdkKtyaXSbMwmD1y3E69BAlClXThw5EsbBGrXnzJlo2boVes2ahPajBmLCHysxZ9ECtGvfXpwBEcbx5csXNGzcGH/s3okJ21bDY+wQtBo1AHVc62HFypVKl6c7aHWKmWC7edGiRRg9biw8poxEkUrlYtx2dMN2HFi+Xvz2Xs2aNRWtlVcCAwPh0bEDLt+8jgELZiBd5kzfbwsODMLS4RPw5eVb7Nm1C1mzZlW0Vl65d+8eXBs2QI7ihdF21EDY2Nl+v+35g0fw6jkYdWrUxPy582Br+//bCPmgJm4G2OivS7du8D3zF7rPnQIn5yw/vd+dc5exfPA4DBk4CEMGD6avWycANoup37Ah0uVyRudJI2D3kz/Zyg71PcvX4eC6Ldj2x1ZUrlxZkVp5xcfHB+07eOD3vl3xawu3n94n8EsAFg8eC8ugMOz09kaGDBnMXqfeoCZuhvybTT1t0qZA+0nDkcTRId77v3/xCkv6jULxAoWwZtVqODo6mq1WnvNv99atUL9LO9Rt19Lgye/KqX+waPBYjBszBr169aKTpYT8e+KkSVi4ZDH6zJ2CvCWKGrz/jgUrcHrHXvGbp2XLljVbrXqEmrjM+ffvzZqiirsb6nRqLblZhAaHYMP4mXj/72Ps3bMHOXLkkL1WHmGH7sxZszDdcwZ6z5qEwuVLS37sq8dPMbvnYFQoUw7Lli6lH1uIJ/92b90aD549QZ95U5HaSfoPPJ8/cgIrR0/FjGnT0aljR1nr1DPUxM2cfyfkOSgnT1z+LRXKyROff0uFcnL5oSauUP4tFcrJE5d/S4Vy8sTn31KhnFxeqIkrmH9LhXLyH/PvBl3bo07bFiY7qVFOnrj8OyHPSzm5PFATVzj/lgrLyTdOmIl39/WZk8fIv2dPRuFyLibfht5zcmPyb6lQTm56qImrIP9OyLaObvTGweXrsXH9Bt3k5DHy74WeSJcpo2zb0mtObor8WyqUk5sWauIqyr+loqecPCr/Tp/bGZ0mGpd/S0VvObkp82+pUE5uOqiJqyz/lsr7l6+/5eT5C2o2J5cr/5aK1nNyufLvhGyfcnLjoSauwvxb7zm5OfJvvefk5si/pUI5uXFQE1dp/q3XnNyc+bdec3Jz5t9SoZw88VATV3n+raecXIn8W285uRL5t1QoJ08c1MQ5yL/1kJMrnX9rPSdXOv+WCuXkCYeauAR69u4Fn0MHMGbbKljb2kDNfHzzFqNdW2P+3Lnw8PAAL2TPmQNFq1dCu+H9oXb+/vMQZvcdhtevXyN9+vTggdu3b6NgwYIYvW5xgv7GjGKx5ZCxCHj+BhfPnVe6HNVDPwohgckTJ6Fgrjzw6tQPn959gFp5eu8BPNv0EuVQmzZtwBO7duzE1aO+2DB9LiIiIqBWTuzci9UTZmD79u3cNHBGgQIFsHzFCizoP1IUiWolLCQUK0dNweu7D7Fl4yaly+ECGoknYJo3euwYrFi1Cl3nTETOIgWhJs7tP4rNk72wYO48tGrVCjzy/v17NGnaFF/CQ9DbazKSpUwBtRAeFob10+bg1umz8Nm9B4UKFQKPnDt3Do3cGqNi43pw690ZlpbqGcd9ePUGc/sMQ17nnNiwbh2SJUumdElcoJ53UOWwg52NyBfPX4AF3Yfg9M4/oQYiIyLgPXsxfOYux7HDR7ht4Iw0adLgyKFDqFq6HEY2aYtHd+5BDXx6/wFTPHoh7M1HXLpwkdsGzihTpoz4Gp5eugmvHoNFmagG7ly8gjFNPdCqSTPs2rGDGngCoJF4Irh16xZcGzRAnvIl0XRIb1jbWCtSR4D/Z6wcMh7JrWzhvW070qZNC62wadMm9OrTG+3HDEaFerUUq+Pf67cwp9cQtG/XDpMmTISVlRW0QGhoKPr064t9hw6i/0JPZM6VXZE6WPs5stkbO+Yvx7o1a1GvXj1F6uAZauKJxN/fHy3cW+Lpu9foMnsiUqRNbfb8e3HvEWjm1gQzPT1hba3MiUROrly5goaNG6FkjapoOaiX2Rsoy783TpuD5UuXoUmTJtAi7IeNhwwdgo6TRqD0b1XNnn+vneCJJ9dvixFVnjx5zLp9rUBNnMOcXAv5t5pzcq3k32rOySn/Nh2UiXOUk2sp/05MTj7CrS0e3ZY3J9dS/q3WnJzyb9NCI3FOcnKWf68YPA4prO00l38nNCdvN3owKrqaPifXav6tlpyc8m95oCbOQU7+9O6/WNxnpKbz74Tk5A0aNUSpmtXQcmBPWJloX+gh/1YyJ6f8Wz6oias8J9dT/p3QnPxzWDD6sJw8VcpEP5fe8m8lcnLKv+WFMnGV5uQs/94+a5Gu8u+E5uTVypTHiCbtEp2T6zH/NndOTvm3/NBIXIU5OeXf8ufkes+/5c7JKf82H9TEVZaTU/4tf05O+be8OTnl3+aFmriKcnLKv+XNySn/lj8np/zb/FAmroKcnPJv+XNyyr/lz8kp/1YGGokrnJMHfw2k/FvmnJzyb3lz8kw5nSn/VhBq4grm5I/fvMKnt+8p/5YxJ89WKD9unb1A+beMOXneksXg/+wl5d8KQU1cwZx89hwvZM2cBc2bN1e6HM3m5FOmTkEHjw4Un8iYk3vv3IFRI0ZSfKIQ1MQJgiA4hsQmQRAEx1ATJwiC4Bhq4gRBEBxDTZwgCIJjqIkTBEFwDDVxgiAIjqEmThAEwTHUxAmCIDiGmjhBEATHUBMnCILgGGriBEEQHENNnCAIgmOoiRMEQXAMNXGCIAiOoSZOEATBMdTECYIgOIaaOEEQBMdQEycIguAYauIEQRAcQ02cIAiCY6iJEwRBcAw1cYIgCI6hJk4QBMEx1MQJgiA4hpo4QRAEx1ATJwiC4Bhq4gRBEBxDTZwgCIJjqIkTBEFwDDVxgiAIjqEmThAEwTHUxAmCIMAv/wN9HFn07eGMxwAAAABJRU5ErkJggg==", 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", 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", 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", 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", 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "szz = {}\n", + "\n", + "map = np.array([5,10,15,2,7,12,17,4,9,14,1,6,11,16,3,8,13,])-1\n", + "\n", + "for he in he_list:\n", + " for step in trotter_steps:\n", + " szz[(he,step)] = bitstring_to_expectation_value(np.array(zz[(he,step)]))*bitstring_to_expectation_value(np.array(z0[he]))\n", + " lgt.plot_qubit_polarization_values(\n", + " grid = lgt.LGTGrid(origin_qubit = cirq.GridQubit(0,0),orientation_vector = (1,1), rows = grid.cols, cols = grid.rows, flip_rowcol = False),\n", + " qubit_polarization_data=[szz[(he,step)][i] for i in map],\n", + " ancilla_states_data=np.zeros(18),\n", + " plot_physical_qubits=True,\n", + " plot_ancillas = False,\n", + " qubit_colormap=cmap_green\n", + " )\n", + "\n", + " title_text = r'$S_{ZZ}$ for gauge qubits. '+ f'$h_E =$ {he}, time = {np.around(dt * step,3)}'\n", + "\n", + " plt.title(title_text)\n", + " plt.ylim(grid.cols, -1)\n", + "\n", + " plt.show()\n", + "\n", + "f,ax = plt.subplots()\n", + "ax.set_aspect(0.1)\n", + "\n", + "norm = matplotlib.colors.Normalize(vmin=-1, vmax=1)\n", + "\n", + "matplotlib.colorbar.ColorbarBase(\n", + " ax, cmap=cmap_green, norm=norm, orientation='horizontal'\n", + ")\n", + "\n", + "ax.set_xticks([-1,0,1],labels=['+1','0','-1'])\n", + "ax.set_xticks([],minor=True)\n", + "ax.tick_params(right=False,labelright=False)\n", + "ax.set_title(r'$S_{ZZ}(t)$')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "7ef945ca", + "metadata": {}, + "source": [ + "We see the coherent dynamics of the string in the confined phase ($h_E = 1.4$). In this case, the string mainly stays on the top qubits where it can undergo \"breathing\" type quantum vibrations without changing it's length on the lattice. However, in a more weakly confined regime ($h_E = 0.6$), the string evidently explores more modes of oscillation and is able to \"flop\" down to the bottom qubits. For $h_E=0.1$, there is no clear string excitation, even at the initial time. This is consistent with the deconfined phase.\n", + "\n", + "To clearly quantitatively see these behaviors, we simulate a denser time sampling for just the top (Q1) and bottom (Q2) qubits in the center, as indicated below." + ] + }, + { + "attachments": { + "image.png": { + "image/png": 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" + } + }, + "cell_type": "markdown", + "id": "60727930", + "metadata": {}, + "source": [ + "![image.png](attachment:image.png)" + ] + }, + { + "cell_type": "markdown", + "id": "b67ba7e1", + "metadata": {}, + "source": [ + "So let's construct the circuit as before but with more time steps and only simulate $\\mathcal{S}_{ZZ}(t)$ for these two qubits." + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "a2732a58", + "metadata": {}, + "outputs": [], + "source": [ + "he_list = [0.1,0.6,1.4]\n", + "trotter_steps = np.arange(10)\n", + "target_list = [grid.physical_qubits[9],grid.physical_qubits[7]]\n", + "\n", + "time_evolution_circuits = []\n", + "\n", + "for target_qubit in target_list:\n", + " for he in he_list:\n", + " for step in trotter_steps:\n", + " time_evolution_circuits.append(cirq.Circuit.from_moments(\n", + " cirq.H.on(auxillary_qubit),\n", + " *lgt.variational_ground_state_minimal_qubits(grid,angles[he]),\n", + " cirq.Moment(cirq.X.on_each(string_excitation_qubits)),\n", + " cirq.CZ(auxillary_qubit,target_qubit),\n", + " *lgt.trotter_step_minimal_qubits(grid,dt,coupling,he,extra_z_plaquette_indices=[(0,1),(3,1)])*step,\n", + " cirq.H.on(auxillary_qubit),\n", + " cirq.Moment(cirq.measure(auxillary_qubit,target_qubit, key=\"measure_all\"))\n", + " ))" + ] + }, + { + "cell_type": "markdown", + "id": "a0a113b2", + "metadata": {}, + "source": [ + "Now let's simulate it and calculate $\\mathcal{S}_{ZZ}(t)$! (This should take <1 minute)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "9e3fc15a", + "metadata": {}, + "outputs": [], + "source": [ + "results_string_dynamics = simulator.run_batch(time_evolution_circuits,repetitions=reps)\n", + "\n", + "zz_fine = {}\n", + "zz_fine_sdom = {}\n", + "\n", + "for target in target_list:\n", + " for he in he_list:\n", + " zz_fine[(target,he)] = []\n", + " zz_fine_sdom[(target,he)] = []\n", + "\n", + "counter = 0\n", + "for idx, target in enumerate(target_list):\n", + " for he in he_list:\n", + " for step in trotter_steps:\n", + " bitstrings = results_string_dynamics[counter][0].measurements['measure_all']\n", + " zz_fine[(target,he)].append(np.mean(np.sum(bitstrings,axis=1)%2))\n", + " zz_fine_sdom[(target,he)].append(np.std(np.sum(bitstrings,axis=1)%2)/np.sqrt(np.shape(bitstrings)[0]))\n", + " counter+=1" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "7cb5f32f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "markers = ['o','s']\n", + "\n", + "for idx2, target in enumerate(target_list):\n", + " fig, ax = plt.subplots()\n", + "\n", + " for idx,he in enumerate(he_list):\n", + " res = bitstring_to_expectation_value(np.array(zz_fine[(target,he)])) * bitstring_to_expectation_value(z0[he][grid.physical_qubits.index(target)])\n", + " ax.errorbar(x = np.arange(len(res))*dt,y = res, yerr = 2*np.sqrt(np.array(zz_fine_sdom[(target,he)])**2 + np.array(z0_sdom[he][9])**2),color = blues_color_list[2*idx],marker = markers[idx2])\n", + "\n", + " ax.set_xlabel(\"Time\")\n", + " ax.set_ylabel(r\"$S_{ZZ}$\")\n", + " ax.set_title(r\"$S_{ZZ}(t)$ \"+f\"for qubit Q{idx2+1} as a function of time\")\n", + " ax.set_ylim(-1.1,1.1)\n", + "\n", + " plt.show()\n", + "\n", + "fig,ax = plt.subplots()\n", + "ax.set_aspect(0.1)\n", + "\n", + "# bounds = np.linspace(0, 1.4, 8)\n", + "bounds = [-0.05]+[np.mean(he_list[i:i+2]) for i in range(len(he_list)-1)]+[1.7]\n", + "norm = matplotlib.colors.BoundaryNorm(bounds, blues_cmap_r.N)\n", + "\n", + "matplotlib.colorbar.ColorbarBase(\n", + " ax, cmap=blues_cmap_r, norm=norm, orientation='horizontal'\n", + ")\n", + "\n", + "ax.set_xticks([np.mean(bounds[i:i+2]) for i in range(len(bounds)-1)],he_list)\n", + "ax.set_xticks([],minor=True)\n", + "ax.tick_params(top=True,bottom=False,labeltop=True,labelbottom=False)\n", + "ax.set_title(r'$h_E$')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "2bbfb370", + "metadata": {}, + "source": [ + "### String Breaking" + ] + }, + { + "cell_type": "markdown", + "id": "afb0db77", + "metadata": {}, + "source": [ + "Lastly, we want to examine the effects of string breaking by looking at the pair creation of charges that occur when the string breaks. To pinpoint the effects of the string on pair creation, we choose the most confining scenario ($h_E = 1.4$) and compare the dynamics of evolving two initials states: (1) just the WALA initial state and (2) the WALA state with the same string excitation that we used to study the string dynamics above. By comparing the effect that $\\lambda$, the string breaking parameter, has in these two experiments, we can identify the interplay between string-breaking and pair creation.\n", + "\n", + "Let's define the circuits for both initial states:" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "4a222df8", + "metadata": {}, + "outputs": [], + "source": [ + "he = 1.4\n", + "coupling_list = [0,0.25,0.5]\n", + "dt = 0.3\n", + "trotter_steps = np.arange(10)\n", + "string_excitation_indices = [(-2,1),(0,1),(1,2),(2,3),(3,2),(4,1),(6,1)]\n", + "string_excitation_qubits = [cirq.GridQubit(idx1,idx2) for idx1,idx2 in string_excitation_indices]\n", + "\n", + "excited_evolution_circuits = []\n", + "\n", + "for coupling in coupling_list:\n", + " for step in trotter_steps:\n", + " excited_evolution_circuits.append(cirq.Circuit.from_moments(\n", + " *lgt.variational_ground_state_minimal_qubits(grid,angles[he]),\n", + " cirq.Moment(cirq.X.on_each(string_excitation_qubits)),\n", + " *lgt.trotter_step_minimal_qubits(grid,dt,coupling,he,extra_z_plaquette_indices=[(0,1),(3,1)])*step,\n", + " cirq.Moment(cirq.measure(grid.physical_qubits, key=\"measure_all\"))\n", + " ))\n", + "\n", + "wala_evolution_circuits = []\n", + "\n", + "for coupling in coupling_list:\n", + " for step in trotter_steps:\n", + " wala_evolution_circuits.append(cirq.Circuit.from_moments(\n", + " *lgt.variational_ground_state_minimal_qubits(grid,angles[he]),\n", + " *lgt.trotter_step_minimal_qubits(grid,dt,coupling,he,extra_z_plaquette_indices=[(0,1),(3,1)])*step,\n", + " cirq.Moment(cirq.measure(grid.physical_qubits, key=\"measure_all\"))\n", + " ))" + ] + }, + { + "cell_type": "markdown", + "id": "2c7cffaf", + "metadata": {}, + "source": [ + "And simulate the results:" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "07b0838c", + "metadata": {}, + "outputs": [], + "source": [ + "results_excited_evolution = simulator.run_batch(excited_evolution_circuits,repetitions=reps)\n", + "results_wala_evolution = simulator.run_batch(wala_evolution_circuits,repetitions=reps)" + ] + }, + { + "cell_type": "markdown", + "id": "c3e7c0ef", + "metadata": {}, + "source": [ + "Now we can calculate the probability that a charge is pair-created at each site as these two initial states evolve in time:" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "3105d6de", + "metadata": {}, + "outputs": [], + "source": [ + "counter = 0\n", + "\n", + "trotter_steps = np.arange(10)\n", + "\n", + "occupations_excited = {}\n", + "\n", + "for coupling in coupling_list:\n", + " for step in trotter_steps:\n", + " res_excited = results_excited_evolution[counter][0].measurements['measure_all']\n", + " occupations_excited[(coupling,step)] = lgt.plaquette_bitstrings(res_excited,grid,particle_locs=[(0,1),(3,1)])\n", + "\n", + "\n", + " counter += 1\n", + "\n", + "counter = 0\n", + "\n", + "occupations_wala = {}\n", + "\n", + "for coupling in coupling_list:\n", + " for step in trotter_steps:\n", + " res_wala = results_wala_evolution[counter][0].measurements['measure_all']\n", + " occupations_wala[(coupling,step)] = lgt.plaquette_bitstrings(res_wala,grid)\n", + "\n", + " counter += 1" + ] + }, + { + "cell_type": "markdown", + "id": "2da10dfa", + "metadata": {}, + "source": [ + "By substracting the expectation value of $A_v$ of the two initials states, we can directly see the effects of the string, which is mostly located on the top qubits. The results, plotted below, show that charges are pair-created when $\\lambda \\neq 0$, but predominantly on the middle and top rows of charge sites where the string is located, with enhanced pair creation as $\\lambda$ increases." + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "371760ae", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "code = tcr.ToricCodeRectangle(origin_qubit=cirq.GridQubit(0,0), row_vector=(1,1), rows=grid.cols, cols=grid.rows)\n", + "\n", + "for coupling in coupling_list:\n", + " tc_plot.ToricCodePlotter(z_cmap = diff_cmap, x_cmap = matplotlib.colormaps['binary']).plot_expectation_values(tc_plaq.ToricCodePlaquettes(\n", + " code,\n", + " x_plaquettes = np.zeros((2,3))-1,\n", + " z_plaquettes = {(grid.cols - p%(grid.cols+1),p//(grid.cols + 1)):bitstring_to_expectation_value(np.mean(occupations_excited[(coupling,9)],axis=0)[p])-bitstring_to_expectation_value(np.mean(occupations_wala[(coupling,9)],axis=0)[p]) for p in range((grid.rows+1)*(grid.cols+1))}\n", + " ))\n", + " \n", + " title_text = r'$\\langle A_v \\rangle_{\\mathrm{string}} - \\langle A_v \\rangle_{\\mathrm{vac}} $ with $\\lambda = $' + f\"{coupling}\"\n", + "\n", + " plt.title(title_text)\n", + "\n", + " plt.show()\n", + "\n", + "f,ax = plt.subplots()\n", + "ax.set_aspect(0.1)\n", + "\n", + "norm = matplotlib.colors.Normalize(vmin=-1, vmax=1)\n", + "\n", + "matplotlib.colorbar.ColorbarBase(\n", + " ax, cmap=diff_cmap_r, norm=norm, orientation='horizontal'\n", + ")\n", + "\n", + "ax.set_xticks([-1,0,1],labels=['+1','0','-1'])\n", + "ax.set_xticks([],minor=True)\n", + "ax.tick_params(right=False,labelright=False)\n", + "ax.set_title(r'$S_{ZZ}(t)$')\n", + "\n", + "plt.show()" + ] + }, + { + "attachments": { + "image.png": { + "image/png": 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" + } + }, + "cell_type": "markdown", + "id": "253d4a55", + "metadata": {}, + "source": [ + "To show this quantitatively, we plot the probability of observing a charge as a function of time when $\\lambda \\in \\{0,0.25,0.5\\}$ for three different charge sites:\n", + "\n", + "(1) $A_{\\mathrm{vac}}$ on the top/bottom of WALA initial state (black)\n", + "\n", + "(2) $A_1$ on the top of the initial state with a string excitation (yellow)\n", + "\n", + "(3) $A_3$ on the bottom of the initial state with the string excitation (mint)\n", + "\n", + "![image.png](attachment:image.png)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "be00db3f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "coupling = 0\n", + "marker_dict = {0:'P',0.25:'X',0.5:'p'}\n", + "\n", + "\n", + "for coupling in coupling_list:\n", + "\n", + " fig, ax = plt.subplots()\n", + "\n", + " mark = marker_dict[coupling]\n", + " ms = 12\n", + "\n", + " res = [np.mean(occupations_wala[(coupling,p)],axis=0)[5] for p in range(len(trotter_steps))]\n", + " sdom = [np.std(occupations_wala[(coupling,p)],axis=0)[5]/np.sqrt(np.shape(occupations_wala[(coupling,p)])[0]) for p in range(len(trotter_steps))]\n", + " ax.errorbar(x = np.arange(len(res))* dt, y = res,yerr = sdom, color = BREAKING_VAC, marker = mark, markersize = ms, label = \"$A_{\\mathrm{vac}}$\")\n", + " \n", + " res = [np.mean(occupations_excited[(coupling,p)],axis=0)[5] for p in range(len(trotter_steps))]\n", + " sdom = [np.std(occupations_excited[(coupling,p)],axis=0)[5]/np.sqrt(np.shape(occupations_excited[(coupling,p)])[0]) for p in range(len(trotter_steps))]\n", + " ax.errorbar(x = np.arange(len(res))* dt, y = res,yerr = sdom, color = BREAKING_TOP, marker = mark, markersize = ms, label = \"$A_1$\")\n", + " \n", + " res = [np.mean(occupations_excited[(coupling,p)],axis=0)[3] for p in range(len(trotter_steps))]\n", + " sdom = [np.std(occupations_excited[(coupling,p)],axis=0)[3]/np.sqrt(np.shape(occupations_excited[(coupling,p)])[0]) for p in range(len(trotter_steps))]\n", + " ax.errorbar(x = np.arange(len(res))* dt, y = res,yerr = sdom, color = BREAKING_BOTTOM, marker = mark, markersize = ms, label = \"$A_2$\")\n", + "\n", + " \n", + "\n", + " \n", + "\n", + " ax.set_xlabel('Time')\n", + " ax.set_ylabel(r'$P(A_v)$')\n", + " ax.set_title(f'Probability of charge excitation with $\\lambda = {coupling}$')\n", + "\n", + " ax.set_ylim(-0.02,0.45)\n", + "\n", + " ax.legend()\n", + "\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "c563f243", + "metadata": {}, + "source": [ + "Finally, we want to explore the dependence on the confinement parameter, $h_E$. We naively expect a resonance in pair creation near $h_E = 2$, when the energy \"cost\" of creating two charges is equal to the energy \"gained\" by shorting the gauge string by one link. We will compare the probability of finding a charge on site $A_1$ at time $t=2$, once the probability of pair creation has saturated.\n", + "\n", + "Let's define the circuits:" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "f876333f", + "metadata": {}, + "outputs": [], + "source": [ + "he_list = np.around(np.arange(1,3.1,0.4),2)\n", + "coupling_list = [0,0.25,0.5]\n", + "dt = 0.2\n", + "trotter_steps = [10]\n", + "string_excitation_indices = [(-2,1),(0,1),(1,2),(2,3),(3,2),(4,1),(6,1)]\n", + "string_excitation_qubits = [cirq.GridQubit(idx1,idx2) for idx1,idx2 in string_excitation_indices]\n", + "\n", + "resonance_circuits = []\n", + "\n", + "for coupling in coupling_list:\n", + " for he in he_list:\n", + " for step in trotter_steps:\n", + " resonance_circuits.append(cirq.Circuit.from_moments(\n", + " *lgt.variational_ground_state_minimal_qubits(grid,angles[he]),\n", + " cirq.Moment(cirq.X.on_each(string_excitation_qubits)),\n", + " *lgt.trotter_step_minimal_qubits(grid,dt,coupling,he,extra_z_plaquette_indices=[(0,1),(3,1)])*step,\n", + " cirq.Moment(cirq.measure(grid.physical_qubits, key=\"measure_all\"))\n", + " ))" + ] + }, + { + "cell_type": "markdown", + "id": "6753effd", + "metadata": {}, + "source": [ + "and simulate them:" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "d9cde0f6", + "metadata": {}, + "outputs": [], + "source": [ + "results_resonance = simulator.run_batch(resonance_circuits,repetitions=reps)\n", + "\n", + "counter = 0\n", + "\n", + "occupations_resonance = {}\n", + "occupations_resonance_sdom = {}\n", + "\n", + "for coupling in coupling_list:\n", + " for he in he_list:\n", + " for step in trotter_steps:\n", + " res = results_resonance[counter][0].measurements['measure_all']\n", + " occupations_resonance[(coupling,he,step)] = lgt.plaquette_bitstrings(res,grid,particle_locs=[(0,1),(3,1)])\n", + "\n", + " counter += 1" + ] + }, + { + "cell_type": "markdown", + "id": "f7b371a0", + "metadata": {}, + "source": [ + "Now when looking at the plotted results, we see that indeed there is a resonance-like feature near $h_E = 2$." + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "29879cae", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "marker_dict = {0:'P',0.25:'X',0.5:'p'}\n", + "\n", + "fig, ax = plt.subplots()\n", + "\n", + "for coupling in coupling_list:\n", + " res = [np.mean(occupations_resonance[(coupling,he,10)],axis=0)[5] for he in he_list]\n", + " sdom = [np.std(occupations_resonance[(coupling,he,10)],axis=0)[5]/np.sqrt(np.shape(occupations_resonance[(coupling,he,10)])[0]) for he in he_list]\n", + " ax.errorbar(x = he_list, y = res, yerr = sdom, markersize = 12, color = '#e6a304ff',marker = marker_dict[coupling], label = f\"$\\lambda = {coupling}$\")\n", + "\n", + "ax.set_xlabel(r'$h_E$')\n", + "ax.set_ylabel(r'$P(A_v)$')\n", + "ax.legend()\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "d819ded5", + "metadata": {}, + "source": [ + "Congratulations, you've made it to the end of this tutorial! To explore the details of the formulation of this experiment and the results from the quantum processor, please refer to the paper and its supplement (https://arxiv.org/abs/2409.17142)." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/recirq/lgt_strings/lgt_experiment.py b/recirq/lgt_strings/lgt_experiment.py new file mode 100644 index 00000000..4c4624cb --- /dev/null +++ b/recirq/lgt_strings/lgt_experiment.py @@ -0,0 +1,1267 @@ +from collections.abc import Iterator, Sequence +from typing import Any + +import cirq +from matplotlib import colormaps +import matplotlib.patches as mpatches +import matplotlib.pyplot as plt +import numpy as np +import sympy + +class LGTGrid: + """Representation of rectangular grid of qubits for lattice gauge theory experiments. + + This grid of qubits is analagous to the X-type/Z-type Toric Code with the boundary chosen + such that all boundary stabilizers are Z-type. The origin_qubit is chosen to be an ancillary + qubit for an X-type plaquette closest to a corner. The other qubits are chosen based on the + orientation vector, which is drawn from the origin_qubit away from the corner to the adjacent + 'bulk' ancillary qubit for a Z-type plaquette. + """ + + def __init__( + self, + origin_qubit: cirq.GridQubit, + orientation_vector: tuple[int, int], + rows: int, + cols: int, + flip_rowcol: bool = False, + ): + """ + + Args: + origin_qubit: ancillary qubit for an X-type plaquette closest to a corner + orientation_vector: vector drawn from origin_qubit to the ancillary qubit of the adjacent 'bulk' + Z-type plaquette + rows: number of rows of X-type stabilizers + cols: number of columns of X-type stabilizers + flip_rowcol: chooses whether to transpose row and columns code + """ + if np.any(np.abs(orientation_vector) != np.array([1, 1])): + raise ValueError( + f"Inconsistent orientation_vector={orientation_vector}: must be (±1, ±1)" + ) + + if rows < 1 or cols < 1: + raise ValueError(f"rows ({rows}) and cols ({cols}) must both be at least 1") + + self.origin_qubit = origin_qubit + self.orientation_vector = orientation_vector + self.row_vector = np.array([2 * orientation_vector[0], 0], dtype=int) + self.col_vector = np.array([0, 2 * orientation_vector[1]], dtype=int) + self.rows = rows + self.cols = cols + self.flip_rowcol = flip_rowcol + + @property + def physical_qubits(self) -> set[cirq.GridQubit]: + """Set of physical gauge qubits at the corners of Z and X plaquettes.""" + return sorted( + self.u_set(self.x_ancillary_qubits) + .union(self.r_set(self.x_ancillary_qubits)) + .union(self.d_set(self.x_ancillary_qubits)) + .union(self.l_set(self.x_ancillary_qubits)) + ) + + @property + def x_ancillary_qubits(self) -> set[cirq.GridQubit]: + return {self.x_plaquette_to_x_ancilla(row, col) for row, col in self.x_plaquette_indices} + + @property + def z_ancillary_l_side_qubits(self) -> set[cirq.GridQubit]: + return {self.z_plaquette_to_z_ancilla(row, 0) for row in range(0, self.rows + 1)} + + @property + def z_ancillary_dl_corner_qubits(self) -> set[cirq.GridQubit]: + return {self.z_plaquette_to_z_ancilla(self.rows, 0)} + + @property + def z_even_col_ancillary_qubits(self) -> set[cirq.GridQubit]: + return { + self.z_plaquette_to_z_ancilla(row, col) + for row, col in self.z_plaquette_even_col_indices + } + + @property + def z_ancillary_d_side_qubits(self) -> set[cirq.GridQubit]: + return {self.z_plaquette_to_z_ancilla(self.rows, col) for col in range(0, self.cols + 1)} + + @property + def z_ancillary_ul_corner_qubits(self) -> set[cirq.GridQubit]: + return {self.z_plaquette_to_z_ancilla(0, 0)} + + @property + def z_ancillary_u_side_qubits(self) -> set[cirq.GridQubit]: + return {self.z_plaquette_to_z_ancilla(0, col) for col in range(0, self.cols + 1)} + + @property + def z_ancillary_r_side_qubits(self) -> set[cirq.GridQubit]: + return {self.z_plaquette_to_z_ancilla(row, self.cols) for row in range(0, self.rows + 1)} + + @property + def z_ancillary_ur_corner_qubits(self) -> set[cirq.GridQubit]: + return {self.z_plaquette_to_z_ancilla(0, self.cols)} + + @property + def z_odd_col_ancillary_qubits(self) -> set[cirq.GridQubit]: + return { + self.z_plaquette_to_z_ancilla(row, col) for row, col in self.z_plaquette_odd_col_indices + } + + @property + def x_ancillary_qubits_by_col(self) -> list[set[cirq.GridQubit]]: + return [ + {self.x_plaquette_to_x_ancilla(row, col) for row in range(self.rows)} + for col in range(self.cols) + ] + + @property + def z_ancillary_dr_corner_qubits(self) -> set[cirq.GridQubit]: + return {self.z_plaquette_to_z_ancilla(self.rows, self.cols)} + + @property + def x_even_col_ancillary_qubits(self) -> set[cirq.GridQubit]: + return { + self.x_plaquette_to_x_ancilla(row, col) + for row, col in self.x_plaquette_even_col_indices + } + + @property + def x_odd_col_ancillary_qubits(self) -> set[cirq.GridQubit]: + return { + self.x_plaquette_to_x_ancilla(row, col) for row, col in self.x_plaquette_odd_col_indices + } + + @property + def x_plaquette_indices(self) -> Iterator[tuple[int, int]]: + for row in range(self.rows): + for col in range(self.cols): + yield row, col + + @property + def z_plaquette_indices(self) -> Iterator[tuple[int, int]]: + for row in range(self.rows + 1): + for col in range(self.cols + 1): + yield row, col + + @property + def z_plaquette_even_col_indices(self) -> Iterator[tuple[int, int]]: + for row in range(self.rows + 1): + for col in range(0, self.cols + 1, 2): + yield row, col + + @property + def z_plaquette_odd_col_indices(self) -> Iterator[tuple[int, int]]: + for row in range(self.rows + 1): + for col in range(1, self.cols + 1, 2): + yield row, col + + @property + def x_plaquette_even_col_indices(self) -> Iterator[tuple[int, int]]: + for row in range(self.rows): + for col in range(0, self.cols, 2): + yield row, col + + @property + def x_plaquette_odd_col_indices(self) -> Iterator[tuple[int, int]]: + for row in range(self.rows): + for col in range(1, self.cols, 2): + yield row, col + + def q_displaced(self, qubit: cirq.GridQubit, displacement: np.ndarray) -> cirq.GridQubit: + """Helper to return a `GridQubit` displaced by a fixed x/y. + + Args: + displacement: numpy array with row/column displacement. + + Returns: + `cirq.GridQubit` that is displaced by a fixed amount of rows/columns + """ + if self.flip_rowcol is False: + return qubit + (int(round(displacement[0])), int(round(displacement[1]))) + else: + return qubit + (int(round(displacement[1])), int(round(displacement[0]))) + + def u_set(self, qubit_set: set[cirq.GridQubit]): + """Ouputs a set of qubits translated up from the input set.""" + return {self.q_displaced(qubit, -self.row_vector / 2) for qubit in qubit_set} + + def r_set(self, qubit_set: set[cirq.GridQubit]): + """Ouputs a set of qubits translated right from the input set.""" + return {self.q_displaced(qubit, self.col_vector / 2) for qubit in qubit_set} + + def d_set(self, qubit_set: set[cirq.GridQubit]): + """Ouputs a set of qubits translated down from the input set.""" + return {self.q_displaced(qubit, self.row_vector / 2) for qubit in qubit_set} + + def l_set(self, qubit_set: set[cirq.GridQubit]): + """Ouputs a set of qubits translated left from the input set.""" + return {self.q_displaced(qubit, -self.col_vector / 2) for qubit in qubit_set} + + def ancillary_to_pair( + self, a_set: set[cirq.GridQubit], qubit1_relationship: str, qubit2_relationship: str + ) -> set[tuple[cirq.GridQubit, cirq.GridQubit]]: + """Generates a pair of qubits for each qubit in a_set based on nearest neighbor + relationships. + + Args: + a_set: set of input qubits, usually ancillary qubits of a set of plaquettes. + qubit1_relationship: either "a", "u", "r", "d", or "l". indicated that the first qubit in each pair will either + be qubits in a_set ("a"), or the qubits that are up ("u"), right ("r"), down ("d"), or left ("l") from + the qubits in a_set. + qubit2_relationship: ... same but the second qubit in each pair. + """ + if qubit1_relationship == "a": + if qubit2_relationship == "u": + return {(qubit, self.q_displaced(qubit, -self.row_vector / 2)) for qubit in a_set} + elif qubit2_relationship == "r": + return {(qubit, self.q_displaced(qubit, self.col_vector / 2)) for qubit in a_set} + elif qubit2_relationship == "d": + return {(qubit, self.q_displaced(qubit, self.row_vector / 2)) for qubit in a_set} + elif qubit2_relationship == "l": + return {(qubit, self.q_displaced(qubit, -self.col_vector / 2)) for qubit in a_set} + else: + raise ValueError( + f"error in input values {qubit1_relationship} or {qubit2_relationship}" + ) + elif qubit1_relationship == "u": + if qubit2_relationship == "a": + return {(self.q_displaced(qubit, -self.row_vector / 2), qubit) for qubit in a_set} + elif qubit2_relationship == "r": + return { + ( + self.q_displaced(qubit, -self.row_vector / 2), + self.q_displaced(qubit, self.col_vector / 2), + ) + for qubit in a_set + } + elif qubit2_relationship == "d": + return { + ( + self.q_displaced(qubit, -self.row_vector / 2), + self.q_displaced(qubit, self.row_vector / 2), + ) + for qubit in a_set + } + elif qubit2_relationship == "l": + return { + ( + self.q_displaced(qubit, -self.row_vector / 2), + self.q_displaced(qubit, -self.col_vector / 2), + ) + for qubit in a_set + } + else: + raise ValueError( + f"error in input values {qubit1_relationship} or {qubit2_relationship}" + ) + elif qubit1_relationship == "r": + if qubit2_relationship == "a": + return {(self.q_displaced(qubit, self.col_vector / 2), qubit) for qubit in a_set} + elif qubit2_relationship == "u": + return { + ( + self.q_displaced(qubit, self.col_vector / 2), + self.q_displaced(qubit, -self.row_vector / 2), + ) + for qubit in a_set + } + elif qubit2_relationship == "d": + return { + ( + self.q_displaced(qubit, self.col_vector / 2), + self.q_displaced(qubit, self.row_vector / 2), + ) + for qubit in a_set + } + elif qubit2_relationship == "l": + return { + ( + self.q_displaced(qubit, self.col_vector / 2), + self.q_displaced(qubit, -self.col_vector / 2), + ) + for qubit in a_set + } + else: + raise ValueError( + f"error in input values {qubit1_relationship} or {qubit2_relationship}" + ) + elif qubit1_relationship == "d": + if qubit2_relationship == "a": + return {(self.q_displaced(qubit, self.row_vector / 2), qubit) for qubit in a_set} + elif qubit2_relationship == "u": + return { + ( + self.q_displaced(qubit, self.row_vector / 2), + self.q_displaced(qubit, -self.row_vector / 2), + ) + for qubit in a_set + } + elif qubit2_relationship == "r": + return { + ( + self.q_displaced(qubit, self.row_vector / 2), + self.q_displaced(qubit, self.col_vector / 2), + ) + for qubit in a_set + } + elif qubit2_relationship == "l": + return { + ( + self.q_displaced(qubit, self.row_vector / 2), + self.q_displaced(qubit, -self.col_vector / 2), + ) + for qubit in a_set + } + else: + raise ValueError( + f"error in input values {qubit1_relationship} or {qubit2_relationship}" + ) + elif qubit1_relationship == "l": + if qubit2_relationship == "a": + return {(self.q_displaced(qubit, -self.col_vector / 2), qubit) for qubit in a_set} + elif qubit2_relationship == "u": + return { + ( + self.q_displaced(qubit, -self.col_vector / 2), + self.q_displaced(qubit, -self.row_vector / 2), + ) + for qubit in a_set + } + elif qubit2_relationship == "r": + return { + ( + self.q_displaced(qubit, -self.col_vector / 2), + self.q_displaced(qubit, self.col_vector / 2), + ) + for qubit in a_set + } + elif qubit2_relationship == "d": + return { + ( + self.q_displaced(qubit, -self.col_vector / 2), + self.q_displaced(qubit, self.row_vector / 2), + ) + for qubit in a_set + } + else: + raise ValueError( + f"error in input values {qubit1_relationship} or {qubit2_relationship}" + ) + else: + raise ValueError( + f"error in input values {qubit1_relationship} or {qubit2_relationship}" + ) + + def z_plaquette_to_physical_qubit_indices(self, row: int, col: int): + """Outputs the indices of all physical qubits within the sorted list of all physical + qubits.""" + return [ + sorted(list(self.physical_qubits)).index(qubit) + for qubit in self.z_plaquette_to_physical_qubits(row, col).values() + ] + + def x_plaquette_to_physical_qubit_indices(self, row: int, col: int): + """Outputs the indices of all physical qubits within the sorted list of all physical + qubits.""" + return [ + sorted(list(self.physical_qubits)).index(qubit) + for qubit in self.x_plaquette_to_physical_qubits(row, col).values() + ] + + def z_plaquette_to_physical_qubits(self, row: int, col: int) -> dict[str : cirq.GridQubit]: + """Outputs all the physical qubits that constitute the Z plaquette at indices (row, col). + + Interior Z plaquettes are made up of 4 qubits. While plaquettes on the edge are only comprised + of 3 qubits. Corner plaquettes just have 2 qubits. + """ + u_displacement = ( + (row - 0.5) * self.row_vector + (col - 0.5) * self.col_vector - self.row_vector / 2 + ) + r_displacement = ( + (row - 0.5) * self.row_vector + (col - 0.5) * self.col_vector + self.col_vector / 2 + ) + d_displacement = ( + (row - 0.5) * self.row_vector + (col - 0.5) * self.col_vector + self.row_vector / 2 + ) + l_displacement = ( + (row - 0.5) * self.row_vector + (col - 0.5) * self.col_vector - self.col_vector / 2 + ) + if row == 0 and col == 0: + return { + "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), + "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), + } + elif row == 0 and col == self.cols: + return { + "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), + "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), + } + elif row == self.rows and col == 0: + return { + "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), + "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), + } + elif row == self.rows and col == self.cols: + return { + "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), + "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), + } + elif row == 0: + return { + "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), + "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), + "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), + } + elif col == 0: + return { + "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), + "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), + "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), + } + elif row == self.rows: + return { + "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), + "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), + "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), + } + elif col == self.cols: + return { + "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), + "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), + "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), + } + else: + return { + "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), + "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), + "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), + "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), + } + + def x_plaquette_to_physical_qubits(self, row: int, col: int) -> dict[str : cirq.GridQubit]: + """Outputs all the physical qubits that constitute the X plaquette at indices (row, col). + + In current construction, all X plaquettes are on the interior, so thus have 4 qubits. + """ + u_displacement = (row) * self.row_vector + (col) * self.col_vector - self.row_vector / 2 + r_displacement = (row) * self.row_vector + (col) * self.col_vector + self.col_vector / 2 + d_displacement = (row) * self.row_vector + (col) * self.col_vector + self.row_vector / 2 + l_displacement = (row) * self.row_vector + (col) * self.col_vector - self.col_vector / 2 + return { + "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), + "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), + "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), + "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), + } + + def x_plaquette_to_x_ancilla(self, row: int, col: int) -> cirq.GridQubit: + """This displacement is counting from the upper left X plaquette. + + Args: + row: plaquette row, row 0 is on top with increasing rows going down. + col: plaquette column, column 0 is on the left and increasing to the left. + """ + displacement = row * self.row_vector + col * self.col_vector + return self.q_displaced(self.origin_qubit, displacement) + + def z_plaquette_to_z_ancilla(self, row: int, col: int) -> cirq.GridQubit: + """This displacement is counting from the upper left Z plaquette. + + Args: + row: plaquette row, row 0 is on top with increasing rows going down. + col: plaquette column, column 0 is on the left and increasing to the left. + """ + displacement = (row - 1 / 2) * self.row_vector + (col - 1 / 2) * self.col_vector + return self.q_displaced(self.origin_qubit, displacement) + +def variational_ground_state_minimal_qubits_cols( + grid: LGTGrid, x_ancillary_qubits_in_cols: list[set[cirq.GridQubit]], theta: float +) -> list[cirq.Moment]: + """Moments to prepare the state from the toric code variational ansatz for two columns. + + Instead of applying a unitary on each plaquette that creates an equal superpostion of all spins up + and all spins down (the Hadamard), this creates a weighted superposition of + cos(theta) |0000> + sin(theta) |1111>, based on the variational parameter theta. + + Args: + grid: grid of qubits to be used + x_ancillary_qubits_in_cols: list of sets of x-plaquette ancillary qubits. The zeroth entry should + be the ancillary qubits of the left column of x-plaquettes and the first entry should be for + the right column. + theta: dictionary where the key:value is he:theta + """ + + x_ancillary_qubits_all = x_ancillary_qubits_in_cols[0].union(x_ancillary_qubits_in_cols[1]) + + return [ + cirq.Moment(cirq.Ry(rads=theta).on_each(grid.u_set(x_ancillary_qubits_all))), + *cnot_on_layer(pairs_list=grid.ancillary_to_pair(x_ancillary_qubits_all, "u", "l")), + *cnot_on_layer(pairs_list=grid.ancillary_to_pair(x_ancillary_qubits_all, "u", "r")), + *cirq.Circuit.zip( + cirq.Circuit.from_moments( + *cnot_on_layer( + pairs_list=grid.ancillary_to_pair(x_ancillary_qubits_in_cols[0], "l", "d") + ) + ), + cirq.Circuit.from_moments( + *cnot_on_layer( + pairs_list=grid.ancillary_to_pair(x_ancillary_qubits_in_cols[1], "r", "d") + ) + ), + ).moments, + ] + + +def variational_ground_state_minimal_qubits( + grid: LGTGrid, theta: float, extra_x_plaquette_indices: list[tuple[int, int]] = [] +) -> list[cirq.Moment]: + """Moments to prepare the state from the toric code variation ansatz. + + Instead of applying a unitary on each plaquette that creates an equal superpostion of all spins up + and all spins down (the Hadamard), this creates a weighted superposition of + cos(theta) |0000> + sin(theta) |1111>, based on the variation parameter theta. + + Args: + grid: grid of qubits to be used + theta: dictionary where the key:value is he:theta + extra_x_plaquette_indices: list of (row,col) of extra x plaquettes to prepare the ground state for. + """ + extra_ancilla_qubits = {} + for col in range(grid.cols): + extra_ancilla_qubits[col] = [] + for p in extra_x_plaquette_indices: + if p[1] == col: + extra_ancilla_qubits[col].append(grid.x_plaquette_to_x_ancilla(p[0], p[1])) + + moments = [] + + if (grid.cols / 2).is_integer(): + for col in range(int(grid.cols / 2), grid.cols): + moments = moments + variational_ground_state_minimal_qubits_cols( + grid, + [ + grid.x_ancillary_qubits_by_col[grid.cols - col - 1].union( + extra_ancilla_qubits[grid.cols - col - 1] + ), + grid.x_ancillary_qubits_by_col[col].union(extra_ancilla_qubits[col]), + ], + theta=theta, + ) + else: + moments = moments + variational_ground_state_minimal_qubits_cols( + grid, + [ + grid.x_ancillary_qubits_by_col[int(grid.cols / 2 - 0.5)].union( + extra_ancilla_qubits[int(grid.cols / 2 - 0.5)] + ), + {}, + ], + theta=theta, + ) + for col in range(1, int(grid.cols / 2 + 0.5)): + moments = moments + variational_ground_state_minimal_qubits_cols( + grid, + [ + grid.x_ancillary_qubits_by_col[int(grid.cols / 2 - 0.5 - col)].union( + extra_ancilla_qubits[int(grid.cols / 2 - 0.5 - col)] + ), + grid.x_ancillary_qubits_by_col[int(grid.cols / 2 - 0.5 + col)].union( + extra_ancilla_qubits[int(grid.cols / 2 - 0.5 + col)] + ), + ], + theta=theta, + ) + + return moments + +def trotter_even_zcol_entangle_minimal_qubits( + grid: LGTGrid, extra_z_plaquette_indices: list[tuple[int, int]] = [] +): + """Minimal qubits need not obey device connectivity, used for simulation. + + Args: + extra_plaquette_indices: Can specify extra plaquettes to include in the Trotterization. + By default all 4 qubits around the extra plaquettes will be included. + """ + extra_even_qubits = [] + for p in extra_z_plaquette_indices: + if p[1] % 2 == 0: + extra_even_qubits.append(grid.z_plaquette_to_z_ancilla(p[0], p[1])) + extra_z_plaquette_ancillary_qubit = set(extra_even_qubits) + + return [ + *cnot_on_layer( + pairs_list=grid.ancillary_to_pair( + grid.z_ancillary_l_side_qubits + - grid.z_ancillary_dl_corner_qubits + - extra_z_plaquette_ancillary_qubit, + "d", + "r", + ).union( + grid.ancillary_to_pair( + ( + grid.z_even_col_ancillary_qubits + - grid.z_ancillary_l_side_qubits + - grid.z_ancillary_d_side_qubits + ).union(extra_z_plaquette_ancillary_qubit), + "d", + "l", + ) + ) + ), + *cnot_on_layer( + pairs_list=grid.ancillary_to_pair( + grid.z_ancillary_l_side_qubits + - grid.z_ancillary_ul_corner_qubits + - grid.z_ancillary_dl_corner_qubits + - extra_z_plaquette_ancillary_qubit, + "r", + "u", + ) + .union( + grid.ancillary_to_pair( + grid.z_ancillary_dl_corner_qubits - extra_z_plaquette_ancillary_qubit, "r", "u" + ) + ) + .union( + grid.ancillary_to_pair( + ( + grid.z_even_col_ancillary_qubits + - grid.z_ancillary_l_side_qubits + - grid.z_ancillary_u_side_qubits + ).union(extra_z_plaquette_ancillary_qubit), + "l", + "u", + ) + ) + .union( + grid.ancillary_to_pair( + grid.z_ancillary_u_side_qubits.intersection(grid.z_even_col_ancillary_qubits) + - grid.z_ancillary_l_side_qubits + - grid.z_ancillary_r_side_qubits + - extra_z_plaquette_ancillary_qubit, + "l", + "r", + ) + ) + ), + *cnot_on_layer( + pairs_list=grid.ancillary_to_pair( + ( + grid.z_even_col_ancillary_qubits + - grid.z_ancillary_l_side_qubits + - grid.z_ancillary_u_side_qubits + - grid.z_ancillary_r_side_qubits + ).union(extra_z_plaquette_ancillary_qubit), + "r", + "u", + ) + ), + ] + + +def trotter_odd_zcol_entangle_minimal_qubits( + grid: LGTGrid, extra_z_plaquette_indices: list[tuple[int, int]] = [] +): + """Minimal qubits need not obey device connectivity, used for simulation. + + Args: + extra_plaquette_indices: Can specify extra plaquettes to include in the Trotterization. + By default all 4 qubits around the extra plaquettes will be included. + """ + extra_odd_qubits = [] + for p in extra_z_plaquette_indices: + if p[1] % 2 == 1: + extra_odd_qubits.append(grid.z_plaquette_to_z_ancilla(p[0], p[1])) + extra_z_plaquette_ancillary_qubit = set(extra_odd_qubits) + + return [ + *cnot_on_layer( + pairs_list=grid.ancillary_to_pair( + (grid.z_odd_col_ancillary_qubits - grid.z_ancillary_d_side_qubits).union( + extra_z_plaquette_ancillary_qubit + ), + "d", + "l", + ) + ), + *cnot_on_layer( + pairs_list=grid.ancillary_to_pair( + ( + grid.z_odd_col_ancillary_qubits + - grid.z_ancillary_u_side_qubits + - grid.z_ancillary_dr_corner_qubits + ).union(extra_z_plaquette_ancillary_qubit), + "l", + "u", + ) + .union( + grid.ancillary_to_pair( + grid.z_ancillary_u_side_qubits.intersection(grid.z_odd_col_ancillary_qubits) + - grid.z_ancillary_r_side_qubits + - extra_z_plaquette_ancillary_qubit, + "l", + "r", + ) + ) + .union( + grid.ancillary_to_pair( + grid.z_ancillary_dr_corner_qubits.intersection(grid.z_odd_col_ancillary_qubits) + - extra_z_plaquette_ancillary_qubit, + "u", + "l", + ) + ) + ), + *cnot_on_layer( + pairs_list=grid.ancillary_to_pair( + ( + grid.z_odd_col_ancillary_qubits + - grid.z_ancillary_u_side_qubits + - grid.z_ancillary_r_side_qubits + ).union(extra_z_plaquette_ancillary_qubit), + "r", + "u", + ) + ), + ] + +def trotter_even_xcol_entangle_minimal_qubits( + grid: LGTGrid, extra_plaquette_indices: list[tuple[int, int]] = [] +): + """Minimal qubits need not obey device connectivity, used for simulation. + + Args: + extra_plaquette_indices: Can specify extra plaquettes to include in the Trotterization. + By default all 4 qubits around the extra plaquettes will be included. + """ + + extra_even_plaquette_indices = [] + for p in extra_plaquette_indices: + if p[1] % 2 == 0: + extra_even_plaquette_indices.append(p) + + ancilla_qubits = grid.x_even_col_ancillary_qubits.union( + {grid.x_plaquette_to_x_ancilla(p[0], p[1]) for p in extra_even_plaquette_indices} + ) + + return [ + *cnot_on_layer(pairs_list=grid.ancillary_to_pair(ancilla_qubits, "d", "l")), + *cnot_on_layer(pairs_list=grid.ancillary_to_pair(ancilla_qubits, "l", "u")), + *cnot_on_layer(pairs_list=grid.ancillary_to_pair(ancilla_qubits, "r", "u")), + ] + + +def trotter_odd_xcol_entangle_minimal_qubits( + grid: LGTGrid, extra_plaquette_indices: list[tuple[int, int]] = [] +): + """Minimal qubits need not obey device connectivity, used for simulation. + + Args: + extra_plaquette_indices: Can specify extra plaquettes to include in the Trotterization. + By default all 4 qubits around the extra plaquettes will be included. + """ + + extra_odd_plaquette_indices = [] + for p in extra_plaquette_indices: + if p[1] % 2 == 1: + extra_odd_plaquette_indices.append(p) + + ancilla_qubits = grid.x_odd_col_ancillary_qubits.union( + {grid.x_plaquette_to_x_ancilla(p[0], p[1]) for p in extra_odd_plaquette_indices} + ) + + return [ + *cnot_on_layer(pairs_list=grid.ancillary_to_pair(ancilla_qubits, "d", "l")), + *cnot_on_layer(pairs_list=grid.ancillary_to_pair(ancilla_qubits, "l", "u")), + *cnot_on_layer(pairs_list=grid.ancillary_to_pair(ancilla_qubits, "r", "u")), + ] + +def trotter_step_minimal_qubits( + grid: LGTGrid, + dt: sympy.Symbol, + coupling: sympy.Symbol, + he: sympy.Symbol, + Je: sympy.Symbol = 1, + Jm: sympy.Symbol = 1, + extra_z_plaquette_indices: list[tuple[int, int]] = [], + extra_x_plaquette_indices: list[tuple[int, int]] = [], +): + """Generate moments to simulate a full Trotter step of the lattice gauge theory Hamiltonian. + + Hamiltonian can be seen at, for example, https://arxiv.org/abs/0912.3272 equation (1.2) + We set Je = Jm = 1 and hx = -coupling and hz = -he. + + Args: + grid: Representation of set of qubits. + dt: trotter time step. + coupling: sigma x field strength. + he: sigma z field strength. + Je: vertex strength + Jm: plaquette strength + """ + extra_z_plaquette_ancillary_qubits = { + grid.z_plaquette_to_z_ancilla(plaquette_indices[0], plaquette_indices[1]) + for plaquette_indices in extra_z_plaquette_indices + } + + extra_x_plaquette_ancillary_qubits = { + grid.x_plaquette_to_x_ancilla(p[0], p[1]) for p in extra_x_plaquette_indices + } + extra_x_plaquette_even_col_ancillary_qubits = set([]) + extra_x_plaquette_odd_col_ancillary_qubits = set([]) + + for p in extra_x_plaquette_indices: + if p[1] % 2 == 0: + extra_x_plaquette_even_col_ancillary_qubits.add( + grid.x_plaquette_to_x_ancilla(p[0], p[1]) + ) + else: + extra_x_plaquette_odd_col_ancillary_qubits.add( + grid.x_plaquette_to_x_ancilla(p[0], p[1]) + ) + + extended_physical_qubits = sorted( + grid.u_set(grid.x_ancillary_qubits.union(extra_x_plaquette_ancillary_qubits)) + .union(grid.r_set(grid.x_ancillary_qubits.union(extra_x_plaquette_ancillary_qubits))) + .union(grid.d_set(grid.x_ancillary_qubits.union(extra_x_plaquette_ancillary_qubits))) + .union(grid.l_set(grid.x_ancillary_qubits.union(extra_x_plaquette_ancillary_qubits))) + ) + + return [ + *trotter_even_zcol_entangle_minimal_qubits(grid, extra_z_plaquette_indices), + cirq.Moment( + cirq.rz(-2 * Je * dt).on_each( + grid.u_set( + (grid.z_even_col_ancillary_qubits - grid.z_ancillary_u_side_qubits).union( + extra_z_plaquette_ancillary_qubits.intersection( + grid.z_even_col_ancillary_qubits + ) + ) + ) + ), + cirq.rz(-2 * Je * dt).on_each( + grid.r_set( + grid.z_ancillary_u_side_qubits.intersection(grid.z_even_col_ancillary_qubits) + - grid.z_ancillary_ur_corner_qubits + - extra_z_plaquette_ancillary_qubits + ) + ), + cirq.rz(-2 * Je * dt).on_each( + grid.l_set( + grid.z_ancillary_ur_corner_qubits.intersection(grid.z_even_col_ancillary_qubits) + - extra_z_plaquette_ancillary_qubits + ) + ), + ), + *trotter_even_zcol_entangle_minimal_qubits(grid, extra_z_plaquette_indices)[::-1], + *trotter_odd_zcol_entangle_minimal_qubits(grid, extra_z_plaquette_indices), + cirq.Moment( + cirq.rz(-2 * Je * dt).on_each( + grid.u_set( + ( + grid.z_odd_col_ancillary_qubits + - grid.z_ancillary_u_side_qubits + - grid.z_ancillary_dr_corner_qubits + ).union( + extra_z_plaquette_ancillary_qubits.intersection( + grid.z_odd_col_ancillary_qubits + ) + ) + ) + ), + cirq.rz(-2 * Je * dt).on_each( + grid.r_set( + grid.z_ancillary_u_side_qubits.intersection(grid.z_odd_col_ancillary_qubits) + - grid.z_ancillary_r_side_qubits + - extra_z_plaquette_ancillary_qubits + ) + ), + cirq.rz(-2 * Je * dt).on_each( + grid.l_set( + grid.z_ancillary_ur_corner_qubits.union( + grid.z_ancillary_dr_corner_qubits + ).intersection(grid.z_odd_col_ancillary_qubits) + - extra_z_plaquette_ancillary_qubits + ) + ), + ), + *trotter_odd_zcol_entangle_minimal_qubits(grid, extra_z_plaquette_indices)[::-1], + cirq.Moment(cirq.H.on_each(extended_physical_qubits)), + *trotter_even_xcol_entangle_minimal_qubits( + grid, extra_plaquette_indices=extra_x_plaquette_indices + ), + cirq.Moment( + cirq.rz(-2 * Jm * dt).on_each( + grid.u_set( + grid.x_even_col_ancillary_qubits.union( + extra_x_plaquette_even_col_ancillary_qubits + ) + ) + ) + ), + *trotter_even_xcol_entangle_minimal_qubits( + grid, extra_plaquette_indices=extra_x_plaquette_indices + )[::-1], + *trotter_odd_xcol_entangle_minimal_qubits( + grid, extra_plaquette_indices=extra_x_plaquette_indices + ), + cirq.Moment( + cirq.rz(-2 * Jm * dt).on_each( + grid.u_set( + grid.x_odd_col_ancillary_qubits.union( + extra_x_plaquette_odd_col_ancillary_qubits + ) + ) + ) + ), + *trotter_odd_xcol_entangle_minimal_qubits( + grid, extra_plaquette_indices=extra_x_plaquette_indices + )[::-1], + cirq.Moment(cirq.H.on_each(extended_physical_qubits)), + cirq.Moment(cirq.rz(-2 * he * dt).on_each(grid.physical_qubits)), + cirq.Moment(cirq.rx(-2 * coupling * dt).on_each(grid.physical_qubits)), + ] + +def plaquette_bitstrings( + data: np.array, grid: LGTGrid, particle_locs: list[tuple[int, int]] = [] +) -> np.ndarray: + """Converts Z basis qubit bitstring to a bitstring in the Z stabilizers of the toric code. + + Outputs the bitstring for the Z stabilizers where 0 corresponds to =1 + and -1 to =-1. + + Args: + data: array where the 0 axis indexes the shot and the 1 axis indexes the + qubits. + grid: representation of set of qubits. + particle_locs: Flips the value of the plaquette bitstrings for the plaquettes indicated + here, for applications with the particle_inject Hamiltonian quench. + """ + plaquette_bitstrings = np.zeros((np.shape(data)[0], (grid.rows + 1) * (grid.cols + 1))) + for row in range(grid.rows + 1): + for col in range(grid.cols + 1): + if (row, col) not in particle_locs: + p = col + (grid.cols + 1) * row + plaquette_bitstrings[:, p] = ( + np.sum( + data[ + :, + list( + grid.z_plaquette_to_physical_qubit_indices( + p // (grid.cols + 1), p % (grid.cols + 1) + ) + ), + ], + axis=1, + ) + % 2 + ) + else: + p = col + (grid.cols + 1) * row + plaquette_bitstrings[:, p] = ( + np.sum( + data[ + :, + list( + grid.z_plaquette_to_physical_qubit_indices( + p // (grid.cols + 1), p % (grid.cols + 1) + ) + ), + ], + axis=1, + ) + + 1 + ) % 2 + + return plaquette_bitstrings + + +def x_plaquette_bitstrings(data: np.array, grid: LGTGrid) -> np.ndarray: + """Coverts X basis qubit bitstring to a bitstring in the X stabilizers of the toric code. + + Outputes the bitstring of the X stabilizers where 0 corresponds to =1 + and 1 to =-1 + + Args: + data: array where the 0 axis indexes the shot and the 1 axis indexes the + qubits. + grid: representation of set of qubits. + """ + plaquette_bitstrings = np.zeros((np.shape(data)[0], (grid.rows) * (grid.cols))) + for row in range(grid.rows): + for col in range(grid.cols): + p = col + (grid.cols) * row + plaquette_bitstrings[:, p] = ( + np.sum( + data[ + :, + list( + grid.x_plaquette_to_physical_qubit_indices( + p // (grid.cols), p % (grid.cols) + ) + ), + ], + axis=1, + ) + % 2 + ) + + return plaquette_bitstrings + +def cnot_on_layer( + pairs_list: Sequence[tuple[cirq.GridQubit, cirq.GridQubit]], + depolarization_probability: float | dict | None = None, +) -> Sequence[cirq.Moment]: + """Outputs a list of moments for CNOT between two lists, in terms of CZ gates. + + Args: + pairs_list: list of pairs of qubits with the first qubit in each pair being the control qubit and the second + qubit being the target + depolarization_probability: parameter to a 2 qubit depolarization channel after the CZ gate. This may also be a + dictionary that maps specific depolarization probability to specific pairs of qubits. + """ + if depolarization_probability is None: + return [ + cirq.Moment(cirq.H.on_each(pair[1] for pair in pairs_list)), + cirq.Moment(cirq.CZ.on(qc, qt) for qc, qt in pairs_list), + cirq.Moment(cirq.H.on_each(pair[1] for pair in pairs_list)), + ] + elif type(depolarization_probability) == float: + return [ + cirq.Moment(cirq.H.on_each(pair[1] for pair in pairs_list)), + cirq.Moment(cirq.CZ.on(qc, qt) for qc, qt in pairs_list), + cirq.Moment( + cirq.depolarize(depolarization_probability, 2).on(pair[0], pair[1]) + for pair in pairs_list + ), + cirq.Moment(cirq.H.on_each(pair[1] for pair in pairs_list)), + ] + elif type(depolarization_probability) == dict: + # make sure there is a error for every pair. + assert set(pairs_list).intersection(set(depolarization_probability.keys())) == set( + pairs_list + ) + + return [ + cirq.Moment(cirq.H.on_each(pair[1] for pair in pairs_list)), + cirq.Moment(cirq.CZ.on(qc, qt) for qc, qt in pairs_list), + cirq.Moment( + cirq.depolarize(depolarization_probability[pair], 2).on(pair[0], pair[1]) + for pair in pairs_list + ), + cirq.Moment(cirq.H.on_each(pair[1] for pair in pairs_list)), + ] + +def excitation_sep_plaquette_input( + plaq_data: np.ndarray, plaq_rows: int = 3, plaq_cols: int = 2 +) -> np.ndarray: + mat1 = np.zeros((plaq_rows * plaq_cols, plaq_rows * plaq_cols)) + mat1[:] = np.arange(np.shape(mat1)[1]) % plaq_cols + mat1 = np.transpose(mat1) + + mat2 = np.zeros((plaq_rows * plaq_cols, plaq_rows * plaq_cols)) + mat2[:] = np.arange(np.shape(mat2)[1]) % plaq_cols + + mat3 = np.zeros((plaq_rows * plaq_cols, plaq_rows * plaq_cols)) + mat3[:] = np.arange(np.shape(mat3)[1]) // plaq_cols + mat3 = np.transpose(mat3) + + mat4 = np.zeros((plaq_rows * plaq_cols, plaq_rows * plaq_cols)) + mat4[:] = np.arange(np.shape(mat4)[1]) // plaq_cols + + distance_metric = (abs(mat1 - mat2) + abs(mat3 - mat4)) / 2 + + distances = np.einsum("ij,jl,il->i", plaq_data, distance_metric, plaq_data) + + return distances + +def plot_qubit_polarization_values( + grid:LGTGrid, + qubit_polarization_data: np.ndarray, + ancilla_states_data:np.ndarray, + ax: plt.Axes | None = None, + qubit_kwargs: dict[str, Any] | None = None, + set_axis_off: bool = True, + force_equal_aspect: bool = True, + qubit_colormap=colormaps.get_cmap("Oranges"), + ancilla_colormap = colormaps.get_cmap("Oranges"), + plot_physical_qubits: bool | list[list[tuple[int]]] = False, + plot_ancillas: bool | list[list[tuple[int]]] = False, +) -> plt.Axes: + """Plot toric code plaquette expectation values as colored tiles. + If round_edges = True, boundary Z-plaquettes are rounded off with + edges corresponding to stabilizers, otherwise all four quibts of + the boundary plaquettes are shown.""" + + if qubit_kwargs is None: + qubit_kwargs = {"edgecolor": "k", "linewidth": 1.0} + + rows = grid.rows + cols = grid.cols + + # Set up axis + if ax is None: + _fig, ax = plt.subplots() + if set_axis_off: # Remove axis frame + ax.set_axis_off() + if force_equal_aspect: + ax.set_aspect("equal") + ax.set_xlim(-1, cols) + ax.set_ylim(rows, -1.5) + + ax.set_xticks(range(cols)) + ax.set_yticks(range(rows)) + + qubit_order = [] + for row in range(grid.rows+1): + for col in range(grid.cols): + qubit_order.append(*grid.u_set({grid.x_plaquette_to_x_ancilla(row,col)})) + for row in range(1,grid.rows+1): + for col in range(grid.cols+1): + qubit_order.append(*grid.u_set({grid.z_plaquette_to_z_ancilla(row,col)})) + qubit_order + + pols_shuffled = np.array([qubit_polarization_data[np.nonzero(np.array(grid.physical_qubits) == qubit)[0][0]] for qubit in qubit_order]) + + if plot_physical_qubits is True: + # Plot X plaquette top qubits + qubit_index = 0 + for row in range(grid.rows + 1): + for col in range(grid.cols): + ax.add_patch( + get_qubit_patch_rect( + pols_shuffled, + qubit_index, + row, + col, + x_basis=True, + qubit_colormap=qubit_colormap, + **qubit_kwargs, + ) + ) + + qubit_index += 1 + + # Plot Z plaquette bottom qubits + for row, col in grid.z_plaquette_indices: + if row != grid.rows: + ax.add_patch( + get_qubit_patch_rect( + pols_shuffled, + qubit_index, + row, + col, + x_basis=False, + qubit_colormap=qubit_colormap, + **qubit_kwargs, + ) + ) + + qubit_index += 1 + + elif type(plot_physical_qubits) == list: + # Plot X plaquette top qubits + for row, col in plot_physical_qubits[0]: + qubit_index = (row) * grid.cols + col + ax.add_patch( + get_qubit_patch_rect( + qubit_polarization_data, + qubit_index, + row, + col, + x_basis=True, + qubit_colormap=qubit_colormap, + **qubit_kwargs, + ) + ) + + # Plot Z plaquette bottom qubits + for row, col in plot_physical_qubits[1]: + qubit_index = ( + (data.code.rows + 1) * (data.code.cols + 1) + (row) * (data.code.cols + 1) + col + ) + + ax.add_patch( + get_qubit_patch_rect( + qubit_polarization_data, + qubit_index, + row, + col, + x_basis=False, + round_edges=round_edges, + qubit_colormap=qubit_colormap, + **qubit_kwargs, + ) + ) + + if plot_ancillas is True: + for row, col in grid.z_plaquette_indices: + qubit_index = (2*grid.cols+1)*row+col + ax.add_patch( + get_ancilla_patch(data = ancilla_states_data, qubit_index = qubit_index,row=row, col=col, x_basis=False, ancilla_cmap = ancilla_colormap, **qubit_kwargs) + ) + for row, col in grid.x_plaquette_indices: + qubit_index = (2*grid.cols+1)*row+3+col + ax.add_patch( + get_ancilla_patch(data = ancilla_states_data, qubit_index = qubit_index,row=row, col=col, x_basis=True, ancilla_cmap = ancilla_colormap, **qubit_kwargs) + ) + + elif type(plot_ancillas) == list: + for row, col in plot_ancillas[0]: + ax.add_patch( + get_ancilla_patch(row=row, col=col, x_basis=False, **qubit_kwargs) + ) + for row, col in plot_ancillas[1]: + ax.add_patch(get_ancilla_patch(row=row, col=col, x_basis=True, **qubit_kwargs)) + return ax + +def get_qubit_patch_rect( + data: np.array, + qubit_index: int, + row: int, + col: int, + x_basis: bool, + qubit_colormap=colormaps.get_cmap("Oranges"), + **kwargs, +) -> mpatches.Patch: + """Generate a single patch polygon for a plaquette.""" + if not x_basis: # z basis, includes special boundary cases + coordinates = [ + (col - 0.5 + 0.2, row), + (col - 0.5, row + 0.25), + (col - 0.5 - 0.2, row), + (col - 0.5, row - 0.25), + ] + + else: # x basis + coordinates = [ + (col + 0.25, row - 0.5), + (col, row - 0.5 + 0.2), + (col - 0.25, row - 0.5), + (col, row - 0.5 - 0.2), + ] + + color = qubit_colormap((data[qubit_index] - 1)/(-2)) + + return mpatches.Polygon(coordinates, closed=True, facecolor=color, **kwargs) + +def get_ancilla_patch( + data:np.ndarray, + qubit_index, + row: int, + col: int, + x_basis: bool, + ancilla_cmap, + **kwargs + ) -> mpatches.Patch: + """Generate a single patch polygon for a plaquette.""" + if not x_basis: + coordinates = (col - 0.5, row - 0.5) + + else: # x basis + coordinates = (col, row) + + color = ancilla_cmap(data[qubit_index]) + + return mpatches.Circle(coordinates, radius=0.146, facecolor=color, **kwargs) \ No newline at end of file diff --git a/recirq/lgt_strings/lgt_experiment_test.py b/recirq/lgt_strings/lgt_experiment_test.py new file mode 100644 index 00000000..e1426f57 --- /dev/null +++ b/recirq/lgt_strings/lgt_experiment_test.py @@ -0,0 +1,171 @@ +import cirq + +import numpy as np +import matplotlib.pyplot as plt +from recirq.lgt_strings.lgt_experiment import LGTGrid, plot_qubit_polarization_values, variational_ground_state_minimal_qubits, trotter_step_minimal_qubits + +def test_plot_qubit_polarization_values(): + # Create a mock LGTGrid + grid = LGTGrid( + origin_qubit=cirq.GridQubit(0, 0), + orientation_vector=(1, 1), + rows=3, + cols=3 + ) + + # Mock data for qubit polarization and ancilla states + qubit_polarization_data = np.random.rand(len(grid.physical_qubits)) + ancilla_states_data = np.random.rand(len(grid.physical_qubits)) + + # Create a matplotlib axis + fig, ax = plt.subplots() + + # Call the function to test + plot_qubit_polarization_values( + grid=grid, + qubit_polarization_data=qubit_polarization_data, + ancilla_states_data=ancilla_states_data, + ax=ax, + plot_physical_qubits=True + ) + + # Assert that the axis has been modified + assert ax.has_data(), "The axis should have data after plotting." + + # Close the plot to avoid resource warnings + plt.close(fig) + +def test_z_plaquette_to_physical_qubit_indices(): + # Create a mock LGTGrid + grid = LGTGrid( + origin_qubit=cirq.GridQubit(0, 0), + orientation_vector=(1, 1), + rows=3, + cols=3 + ) + + # Define a sample plaquette index + plaquette_index = (1, 1) + + # Call the function to test + physical_qubit_indices = grid.z_plaquette_to_physical_qubit_indices(row = plaquette_index[0], col = plaquette_index[1]) + + # Expected result based on the grid structure + expected_indices = [4,8,11,7] + + # Assert the result matches the expected indices + assert physical_qubit_indices == expected_indices, ( + f"Expected {expected_indices}, but got {physical_qubit_indices}" + ) + +def test_z_plaquette_to_physical_qubits(): + # Create a mock LGTGrid + grid = LGTGrid( + origin_qubit=cirq.GridQubit(0, 0), + orientation_vector=(1, 1), + rows=3, + cols=3 + ) + + # Define a sample plaquette index + plaquette_index = (1, 1) + + # Call the function to test + physical_qubits = grid.z_plaquette_to_physical_qubits(row=plaquette_index[0], col=plaquette_index[1]) + + # Expected result based on the grid structure + expected_qubits = { + 'u_qubit': cirq.GridQubit(0, 1), + 'r_qubit': cirq.GridQubit(1, 2), + 'd_qubit': cirq.GridQubit(2, 1), + 'l_qubit': cirq.GridQubit(1, 0) + } + + # Assert the result matches the expected qubits + assert physical_qubits == expected_qubits, ( + f"Expected {expected_qubits}, but got {physical_qubits}" + ) + +def test_variational_ground_state_minimal_qubits(): + # Define grid parameters + Lx, Ly = 4, 3 # Grid dimensions + grid = LGTGrid( + origin_qubit=cirq.GridQubit(0, 0), + orientation_vector=(1, 1), + rows=Lx - 1, + cols=Ly - 1, + flip_rowcol=False + ) + + # Define Hamiltonian coefficients + hamiltonian_coefs = {'Je': np.random.random(), 'Jm': np.random.random(), 'he':np.random.random(), 'lambda': np.random.random()} + + # Define thetas to test + thetas = [0, np.pi / 2] + + # Initialize simulator + simulator = cirq.Simulator() + + # Loop over thetas and compute energy + # Note the correspondence between he and theta in this test is not physical + for theta in thetas: + # Create the circuit for the given theta + circuit = cirq.Circuit.from_moments( + *variational_ground_state_minimal_qubits(grid, theta) + ) + + observable = cirq.PauliSum() + for row in range(Lx): + for col in range(Ly): + observable += cirq.PauliString(hamiltonian_coefs['Je'],cirq.Z.on_each(grid.z_plaquette_to_physical_qubits(row, col).values())) + for row in range(Lx-1): + for col in range(Ly-1): + observable += cirq.PauliString(hamiltonian_coefs['Jm'],cirq.X.on_each(grid.x_plaquette_to_physical_qubits(row, col).values())) + for qubit in grid.physical_qubits: + observable += cirq.PauliString(hamiltonian_coefs['he'],cirq.Z(qubit)) + observable += cirq.PauliString(hamiltonian_coefs['lambda'],cirq.X(qubit)) + + # Simulate the expectation values + results = simulator.simulate_expectation_values(circuit,[observable]) + + if theta == np.pi: + assert np.isclose(results[0], Lx*Ly*hamiltonian_coefs['Je']+(Lx-1)*(Ly-1)*hamiltonian_coefs['Jm'], atol=1e-2), ( + f"Error of energy of WALA initial state when theta = {theta}" + ) + elif theta == 0: + assert np.isclose(results[0], Lx*Ly*hamiltonian_coefs['Je']+len(grid.physical_qubits)*hamiltonian_coefs['he'], atol=1e-2), ( + f"Error of energy of WALA initial state when theta = {theta}" + ) + +def test_trotter_step_minimal_qubits(): + # Define grid parameters + Lx, Ly = 3, 2 # Grid dimensions + grid = LGTGrid( + origin_qubit=cirq.GridQubit(0, 0), + orientation_vector=(1, 1), + rows=Lx - 1, + cols=Ly - 1, + flip_rowcol=False + ) + + # Define Hamiltonian coefficients + hamiltonian_coefs = {'Je': 1, 'Jm': 1, 'he':0.4, 'lambda': 0.5} + dt = 0.3 + + observable = cirq.PauliSum() + + #Going to test that, under these parameters, the average probability of particle creation from the + #WALA state after 20 Trotter steps is consistent with the expected value of 0.9019627769788106. + for row in range(Lx): + for col in range(Ly): + observable += cirq.PauliString(1/6,cirq.Z.on_each(grid.z_plaquette_to_physical_qubits(row, col).values())) + + circuit = cirq.Circuit.from_moments( + *variational_ground_state_minimal_qubits(grid, 0.625), + *trotter_step_minimal_qubits(grid, dt, hamiltonian_coefs['lambda'], hamiltonian_coefs['he'], hamiltonian_coefs['Je'], hamiltonian_coefs['Jm'])*20, + ) + + simulator = cirq.Simulator() + results = simulator.simulate_expectation_values(circuit,[observable]) + + assert np.isclose(results[0], (0.9019627769788106+0j), atol=1e-4), ("Error in Trotterization circuit.") From 9bc33e41db26052ce89e76ff1c4a49e74b30444c Mon Sep 17 00:00:00 2001 From: snichet Date: Tue, 22 Apr 2025 23:25:17 -0400 Subject: [PATCH 2/4] nits --- docs/lgt_strings/lgt_strings.ipynb | 11 ++++----- recirq/lgt_strings/lgt_experiment.py | 26 ++++++++++----------- recirq/lgt_strings/lgt_experiment_test.py | 28 +++++++++++------------ 3 files changed, 32 insertions(+), 33 deletions(-) diff --git a/docs/lgt_strings/lgt_strings.ipynb b/docs/lgt_strings/lgt_strings.ipynb index f6ae3890..c4ab7fc8 100644 --- a/docs/lgt_strings/lgt_strings.ipynb +++ b/docs/lgt_strings/lgt_strings.ipynb @@ -138,7 +138,7 @@ "source": [ "### Motivation and background\n", "\n", - "This ReCirq tutorial is based on experiments done on Google's quantum processor, the results of which can be found at https://arxiv.org/abs/2409.17142.\n", + "This ReCirq tutorial is based on experiments done on Google's quantum processor, the results of which can be found on [arXiv](https://arxiv.org/abs/2409.17142).\n", "\n", "Gauge theories are a fundamental way to describe nature. From the quantum description of electromagnetic phenomena (dubbed quantum electrodynamics) to the theories that explain the fundamental particles explored at the Large Hadron Collider in Switzerland, gauge theories are ubiquitous throughout physics. While studies of gauge theories began analytically (pen and paper), soon the continuous theories were discretized and physicists began studying \"lattice gauge theories,\" which are advantageous for numerical simulations. However, certain lattice gauge theories have proven intractable for classical computers because of the exponential cost to simulate larger systems. This provides a unique opportunity for today's emerging quantum computers to simulate results beyond the capabilities of classical processors. Along those lines, researchers have used superconducting qubits, arrays of neutral atoms, and trapped ions to simulate one dimensional lattice gauge theories. These experiments have shown the ability for quantum processors to capture the expected behavior in small, spatially limited systems. In our work, we extend the state-of-the-art by pushing the quantum simulation of gauge theories to two spatial dimensions. Specifically, we study the dynamics of a 2D grid of superconducting qubits under a Trotterized time evolution described by a $\\mathbb{Z}_2$ lattice gauge theory with Hamiltonian:\n", "\n", @@ -185,7 +185,7 @@ "id": "c9e5c8e1", "metadata": {}, "source": [ - "We start by preparing a low-energy state, on top of which we will pair-create charges. Our approach is to use a \"Weight Adjustable Loop Ansatz\" (WALA), which is equivalent to the mean-field ground state of the dual Ising model when $\\lambda = 0$. The ansatz only has one tunable parameter, $\\theta$. Since an expression for the mean-field Ising model is known exactly, the variational parameters for the WALA initial state can be efficiently classically calculated for any system size. In the limit of $h_E \\rightarrow 0$, the WALA reduces to the ground state of the toric code, previously explored in the ReCirq https://quantumai.google/cirq/experiments/toric_code/toric_code_ground_state. As shown below, we choose a system size that has a 4x3 grid of charge sites, which corresponds to 17 gauge qubits.\n", + "We start by preparing a low-energy state, on top of which we will pair-create charges. Our approach is to use a \"Weight Adjustable Loop Ansatz\" (WALA), which is equivalent to the mean-field ground state of the dual Ising model when $\\lambda = 0$. The ansatz only has one tunable parameter, $\\theta$. Since an expression for the mean-field Ising model is known exactly, the variational parameters for the WALA initial state can be efficiently classically calculated for any system size. In the limit of $h_E \\rightarrow 0$, the WALA reduces to the ground state of the toric code, previously explored in [ReCirq](https://quantumai.google/cirq/experiments/toric_code/toric_code_ground_state). As shown below, we choose a system size that has a 4x3 grid of charge sites, which corresponds to 17 gauge qubits.\n", "\n", "Note that in the experiment on quantum hardware, we use an additional 18 ancilla qubits to facilitate the Trotterization on the square grid of qubits with nearest-neighbor connectivity. However, to perform a Cirq simulation of these circuits, I will use a modified Trotter evolution that is not limited by the device connectivity and only uses the minimal number of physical qubits, at the cost of more gate layers." ] @@ -1349,7 +1349,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": null, "id": "7cb5f32f", "metadata": {}, "outputs": [ @@ -1404,7 +1404,6 @@ "fig,ax = plt.subplots()\n", "ax.set_aspect(0.1)\n", "\n", - "# bounds = np.linspace(0, 1.4, 8)\n", "bounds = [-0.05]+[np.mean(he_list[i:i+2]) for i in range(len(he_list)-1)]+[1.7]\n", "norm = matplotlib.colors.BoundaryNorm(bounds, blues_cmap_r.N)\n", "\n", @@ -1723,7 +1722,7 @@ "id": "c563f243", "metadata": {}, "source": [ - "Finally, we want to explore the dependence on the confinement parameter, $h_E$. We naively expect a resonance in pair creation near $h_E = 2$, when the energy \"cost\" of creating two charges is equal to the energy \"gained\" by shorting the gauge string by one link. We will compare the probability of finding a charge on site $A_1$ at time $t=2$, once the probability of pair creation has saturated.\n", + "Finally, we want to explore the dependence on the confinement parameter, $h_E$. We naively expect a resonance in pair creation near $h_E = 2,$ when the energy \"cost\" of creating two charges is equal to the energy \"gained\" by shorting the gauge string by one link. We will compare the probability of finding a charge on site $A_1$ at time $t=2$, once the probability of pair creation has saturated.\n", "\n", "Let's define the circuits:" ] @@ -1833,7 +1832,7 @@ "id": "d819ded5", "metadata": {}, "source": [ - "Congratulations, you've made it to the end of this tutorial! To explore the details of the formulation of this experiment and the results from the quantum processor, please refer to the paper and its supplement (https://arxiv.org/abs/2409.17142)." + "Congratulations, you've made it to the end of this tutorial! To explore the details of the formulation of this experiment and the results from the quantum processor, please refer to the [paper and its supplement](https://arxiv.org/abs/2409.17142)." ] } ], diff --git a/recirq/lgt_strings/lgt_experiment.py b/recirq/lgt_strings/lgt_experiment.py index 4c4624cb..a7f567de 100644 --- a/recirq/lgt_strings/lgt_experiment.py +++ b/recirq/lgt_strings/lgt_experiment.py @@ -782,23 +782,23 @@ def trotter_step_minimal_qubits( dt: sympy.Symbol, coupling: sympy.Symbol, he: sympy.Symbol, - Je: sympy.Symbol = 1, - Jm: sympy.Symbol = 1, + je: sympy.Symbol = 1, + jm: sympy.Symbol = 1, extra_z_plaquette_indices: list[tuple[int, int]] = [], extra_x_plaquette_indices: list[tuple[int, int]] = [], ): """Generate moments to simulate a full Trotter step of the lattice gauge theory Hamiltonian. Hamiltonian can be seen at, for example, https://arxiv.org/abs/0912.3272 equation (1.2) - We set Je = Jm = 1 and hx = -coupling and hz = -he. + We set je = jm = 1 and hx = -coupling and hz = -he. Args: grid: Representation of set of qubits. dt: trotter time step. coupling: sigma x field strength. he: sigma z field strength. - Je: vertex strength - Jm: plaquette strength + je: vertex strength + jm: plaquette strength """ extra_z_plaquette_ancillary_qubits = { grid.z_plaquette_to_z_ancilla(plaquette_indices[0], plaquette_indices[1]) @@ -831,7 +831,7 @@ def trotter_step_minimal_qubits( return [ *trotter_even_zcol_entangle_minimal_qubits(grid, extra_z_plaquette_indices), cirq.Moment( - cirq.rz(-2 * Je * dt).on_each( + cirq.rz(-2 * je * dt).on_each( grid.u_set( (grid.z_even_col_ancillary_qubits - grid.z_ancillary_u_side_qubits).union( extra_z_plaquette_ancillary_qubits.intersection( @@ -840,14 +840,14 @@ def trotter_step_minimal_qubits( ) ) ), - cirq.rz(-2 * Je * dt).on_each( + cirq.rz(-2 * je * dt).on_each( grid.r_set( grid.z_ancillary_u_side_qubits.intersection(grid.z_even_col_ancillary_qubits) - grid.z_ancillary_ur_corner_qubits - extra_z_plaquette_ancillary_qubits ) ), - cirq.rz(-2 * Je * dt).on_each( + cirq.rz(-2 * je * dt).on_each( grid.l_set( grid.z_ancillary_ur_corner_qubits.intersection(grid.z_even_col_ancillary_qubits) - extra_z_plaquette_ancillary_qubits @@ -857,7 +857,7 @@ def trotter_step_minimal_qubits( *trotter_even_zcol_entangle_minimal_qubits(grid, extra_z_plaquette_indices)[::-1], *trotter_odd_zcol_entangle_minimal_qubits(grid, extra_z_plaquette_indices), cirq.Moment( - cirq.rz(-2 * Je * dt).on_each( + cirq.rz(-2 * je * dt).on_each( grid.u_set( ( grid.z_odd_col_ancillary_qubits @@ -870,14 +870,14 @@ def trotter_step_minimal_qubits( ) ) ), - cirq.rz(-2 * Je * dt).on_each( + cirq.rz(-2 * je * dt).on_each( grid.r_set( grid.z_ancillary_u_side_qubits.intersection(grid.z_odd_col_ancillary_qubits) - grid.z_ancillary_r_side_qubits - extra_z_plaquette_ancillary_qubits ) ), - cirq.rz(-2 * Je * dt).on_each( + cirq.rz(-2 * je * dt).on_each( grid.l_set( grid.z_ancillary_ur_corner_qubits.union( grid.z_ancillary_dr_corner_qubits @@ -892,7 +892,7 @@ def trotter_step_minimal_qubits( grid, extra_plaquette_indices=extra_x_plaquette_indices ), cirq.Moment( - cirq.rz(-2 * Jm * dt).on_each( + cirq.rz(-2 * jm * dt).on_each( grid.u_set( grid.x_even_col_ancillary_qubits.union( extra_x_plaquette_even_col_ancillary_qubits @@ -907,7 +907,7 @@ def trotter_step_minimal_qubits( grid, extra_plaquette_indices=extra_x_plaquette_indices ), cirq.Moment( - cirq.rz(-2 * Jm * dt).on_each( + cirq.rz(-2 * jm * dt).on_each( grid.u_set( grid.x_odd_col_ancillary_qubits.union( extra_x_plaquette_odd_col_ancillary_qubits diff --git a/recirq/lgt_strings/lgt_experiment_test.py b/recirq/lgt_strings/lgt_experiment_test.py index e1426f57..9da5033f 100644 --- a/recirq/lgt_strings/lgt_experiment_test.py +++ b/recirq/lgt_strings/lgt_experiment_test.py @@ -88,12 +88,12 @@ def test_z_plaquette_to_physical_qubits(): def test_variational_ground_state_minimal_qubits(): # Define grid parameters - Lx, Ly = 4, 3 # Grid dimensions + lx, ly = 4, 3 # Grid dimensions grid = LGTGrid( origin_qubit=cirq.GridQubit(0, 0), orientation_vector=(1, 1), - rows=Lx - 1, - cols=Ly - 1, + rows=lx - 1, + cols=ly - 1, flip_rowcol=False ) @@ -115,11 +115,11 @@ def test_variational_ground_state_minimal_qubits(): ) observable = cirq.PauliSum() - for row in range(Lx): - for col in range(Ly): + for row in range(lx): + for col in range(ly): observable += cirq.PauliString(hamiltonian_coefs['Je'],cirq.Z.on_each(grid.z_plaquette_to_physical_qubits(row, col).values())) - for row in range(Lx-1): - for col in range(Ly-1): + for row in range(lx-1): + for col in range(ly-1): observable += cirq.PauliString(hamiltonian_coefs['Jm'],cirq.X.on_each(grid.x_plaquette_to_physical_qubits(row, col).values())) for qubit in grid.physical_qubits: observable += cirq.PauliString(hamiltonian_coefs['he'],cirq.Z(qubit)) @@ -129,22 +129,22 @@ def test_variational_ground_state_minimal_qubits(): results = simulator.simulate_expectation_values(circuit,[observable]) if theta == np.pi: - assert np.isclose(results[0], Lx*Ly*hamiltonian_coefs['Je']+(Lx-1)*(Ly-1)*hamiltonian_coefs['Jm'], atol=1e-2), ( + assert np.isclose(results[0], lx*ly*hamiltonian_coefs['Je']+(lx-1)*(ly-1)*hamiltonian_coefs['Jm'], atol=1e-2), ( f"Error of energy of WALA initial state when theta = {theta}" ) elif theta == 0: - assert np.isclose(results[0], Lx*Ly*hamiltonian_coefs['Je']+len(grid.physical_qubits)*hamiltonian_coefs['he'], atol=1e-2), ( + assert np.isclose(results[0], lx*ly*hamiltonian_coefs['Je']+len(grid.physical_qubits)*hamiltonian_coefs['he'], atol=1e-2), ( f"Error of energy of WALA initial state when theta = {theta}" ) def test_trotter_step_minimal_qubits(): # Define grid parameters - Lx, Ly = 3, 2 # Grid dimensions + lx, ly = 3, 2 # Grid dimensions grid = LGTGrid( origin_qubit=cirq.GridQubit(0, 0), orientation_vector=(1, 1), - rows=Lx - 1, - cols=Ly - 1, + rows=lx - 1, + cols=ly - 1, flip_rowcol=False ) @@ -156,8 +156,8 @@ def test_trotter_step_minimal_qubits(): #Going to test that, under these parameters, the average probability of particle creation from the #WALA state after 20 Trotter steps is consistent with the expected value of 0.9019627769788106. - for row in range(Lx): - for col in range(Ly): + for row in range(lx): + for col in range(ly): observable += cirq.PauliString(1/6,cirq.Z.on_each(grid.z_plaquette_to_physical_qubits(row, col).values())) circuit = cirq.Circuit.from_moments( From e3bf8e4527e2572baf37c2911712b5e5eff1eb71 Mon Sep 17 00:00:00 2001 From: snichet Date: Wed, 23 Apr 2025 23:31:14 -0400 Subject: [PATCH 3/4] Doug comments --- .../lattice_gauge.ipynb} | 331 +++++----- .../lattice_gauge_experiment.py} | 598 +++--------------- .../lattice_gauge_experiment_test.py} | 68 +- recirq/lattice_gauge/lattice_gauge_grid.py | 377 +++++++++++ .../lattice_gauge/lattice_gauge_grid_test.py | 70 ++ 5 files changed, 739 insertions(+), 705 deletions(-) rename docs/{lgt_strings/lgt_strings.ipynb => lattice_gauge/lattice_gauge.ipynb} (58%) rename recirq/{lgt_strings/lgt_experiment.py => lattice_gauge/lattice_gauge_experiment.py} (57%) rename recirq/{lgt_strings/lgt_experiment_test.py => lattice_gauge/lattice_gauge_experiment_test.py} (72%) create mode 100644 recirq/lattice_gauge/lattice_gauge_grid.py create mode 100644 recirq/lattice_gauge/lattice_gauge_grid_test.py diff --git a/docs/lgt_strings/lgt_strings.ipynb b/docs/lattice_gauge/lattice_gauge.ipynb similarity index 58% rename from docs/lgt_strings/lgt_strings.ipynb rename to docs/lattice_gauge/lattice_gauge.ipynb index c4ab7fc8..28b4c89a 100644 --- a/docs/lgt_strings/lgt_strings.ipynb +++ b/docs/lattice_gauge/lattice_gauge.ipynb @@ -2,7 +2,47 @@ "cells": [ { "cell_type": "code", - "execution_count": 50, + "execution_count": 11, + "id": "213b4271", + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "sys.path\n", + "sys.path.append('/Users/tylerac/Documents/VS_Code_Projects/ReCirq Stuff/ReCirq')" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "f81ba0e7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/Library/Frameworks/Python.framework/Versions/3.11/lib/python311.zip',\n", + " '/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11',\n", + " '/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/lib-dynload',\n", + " '',\n", + " '/Users/tylerac/Documents/VS_Code_Projects/ReCirq Stuff/.venv/lib/python3.11/site-packages',\n", + " '/Users/tylerac/Documents/VS_Code_Projects/ReCirq Stuff',\n", + " '/Users/tylerac/Documents/VS_Code_Projects/ReCirq Stuff/',\n", + " '/Users/tylerac/Documents/VS_Code_Projects/ReCirq Stuff/ReCirq']" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sys.path" + ] + }, + { + "cell_type": "code", + "execution_count": 14, "id": "6af072a8", "metadata": {}, "outputs": [], @@ -18,7 +58,8 @@ "from scipy.optimize import minimize_scalar\n", "import sympy\n", "\n", - "import recirq.lgt_strings.lgt_experiment as lgt\n", + "import recirq.lattice_gauge.lattice_gauge_experiment as lgt\n", + "from recirq.lattice_gauge.lattice_gauge_grid import LGTGrid\n", "import recirq.toric_code.toric_code_plotter as tc_plot\n", "import recirq.toric_code.toric_code_plaquettes as tc_plaq\n", "import recirq.toric_code.toric_code_rectangle as tcr" @@ -26,7 +67,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 15, "id": "6cbbedb7", "metadata": {}, "outputs": [], @@ -100,7 +141,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 16, "id": "bbc3fd0a", "metadata": {}, "outputs": [], @@ -200,7 +241,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 17, "id": "3ec38233", "metadata": {}, "outputs": [], @@ -208,7 +249,7 @@ "Lx = 4\n", "Ly = 3\n", "\n", - "grid = lgt.LGTGrid(origin_qubit = cirq.GridQubit(0,0),orientation_vector = (1,1), rows = Lx-1, cols = Ly-1, flip_rowcol = False)" + "grid = LGTGrid(origin_qubit = cirq.GridQubit(0,0),orientation_vector = (1,1), rows = Lx-1, cols = Ly-1, flip_rowcol = False)" ] }, { @@ -221,7 +262,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 18, "id": "f6175473", "metadata": {}, "outputs": [ @@ -249,7 +290,7 @@ "\n", "lgt.plot_qubit_polarization_values(\n", " ax = ax,\n", - " grid = lgt.LGTGrid(origin_qubit = cirq.GridQubit(0,0),orientation_vector = (1,1), rows = grid.cols, cols = grid.rows, flip_rowcol = False),\n", + " grid = LGTGrid(origin_qubit = cirq.GridQubit(0,0),orientation_vector = (1,1), rows = grid.cols, cols = grid.rows, flip_rowcol = False),\n", " qubit_polarization_data=np.zeros(17),\n", " ancilla_states_data=np.zeros(18),\n", " plot_physical_qubits=True,\n", @@ -270,7 +311,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 19, "id": "88c9f682", "metadata": {}, "outputs": [], @@ -294,7 +335,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 20, "id": "a2247fcf", "metadata": {}, "outputs": [ @@ -302,35 +343,35 @@ "data": { "text/html": [ "
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@@ -394,7 +435,7 @@
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   {
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+   "execution_count": 24,
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",
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",
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" ] @@ -558,7 +599,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 25, "id": "f19dcaf8", "metadata": {}, "outputs": [ @@ -566,80 +607,80 @@ "data": { "text/html": [ "
                            ┌──┐           ┌──┐           ┌──┐               ┌──┐           ┌──┐                                               ┌──┐           ┌──┐\n",
-       "(-1, 0): ───Ry(theta)─────────@─────────────@────────────────────────────H────@─────H──────────────────────────────Rz(-2*dt)──────────────────────────────H────@─────H───H───@───H───────@───────────────────────────────────────────────@───────H───@───H───H───────────────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────────────────────────────────────────────────────────────────────────────────────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M('measure_all')───\n",
-       "                              │             │                                 │                                                                                │             │           │                                               │           │                           │           │                       │           │                                                                                                                                             │\n",
-       "(-1, 2): ───Ry(theta)────────@┼─────────────┼@───────────────────────────H────┼@────H──────────────────────────────Rz(-2*dt)──────────────────────────────H────┼@────H───────┼───────H───@───H───────────────Rz(-2*dt)───────────────H───@───H───────┼───────H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────────────────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "(-1, 0): ───Ry(theta)─────────@──────────────@───────────────────────────H────@─────H──────────────────────────────Rz(-2*dt)──────────────────────────────H────@─────H───H───@───H───────@───────────────────────────────────────────────@───────H───@───H───H───────────────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────────────────────────────────────────────────────────────────────────────────────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M('measure_all')───\n",
+       "                              │              │                                │                                                                                │             │           │                                               │           │                           │           │                       │           │                                                                                                                                             │\n",
+       "(-1, 2): ───Ry(theta)────────@┼─────────────@┼───────────────────────────H────┼@────H──────────────────────────────Rz(-2*dt)──────────────────────────────H────┼@────H───────┼───────H───@───H───────────────Rz(-2*dt)───────────────H───@───H───────┼───────H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────────────────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
        "                             ││             ││                                ││                                                                               ││            │                                                                       │                           │           │                       │           │                                   │           │                       │           │                                                         │\n",
        "(0, -1): ───────────────H────┼@────H────────┼┼─────────────@──────────────────@┼────────H────@─────H───────────────Rz(-2*dt)───────────────H────@─────H────────@┼────────────┼───────────────────────────────────────────────────────────────────────┼───────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
        "                             │              ││             │                   │             │                                                  │               │            │                                                                       │               │                       │                       │                       │                       │           │                       │           │                                                         │\n",
-       "(0, 1): ────────────────H────@─────H───H────@┼────H────────┼───────────────────┼─────────────┼──────────────────────────────────────────────────┼───────────────┼────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
-       "                                             │             │                   │             │                                                  │               │                        │           │                       │           │                           │                                                                       │           │                       │                       │                       │                                             │\n",
-       "(0, 3): ───────────────────────────────H─────@────H────────┼@──────────────────@────────H────┼@────H───────────────Rz(-2*dt)───────────────H────┼@────H─────────@────────────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───────┼───────────────────────────────────────────────────────────────────────┼───────────┼───────────────────────@───────────────────────@───────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "(0, 1): ────────────────H────@─────H───H────┼@────H────────┼───────────────────┼─────────────┼──────────────────────────────────────────────────┼───────────────┼────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                                            │              │                   │             │                                                  │               │                        │           │                       │           │                           │                                                                       │           │                       │                       │                       │                                             │\n",
+       "(0, 3): ───────────────────────────────H────@─────H────────┼@──────────────────@────────H────┼@────H───────────────Rz(-2*dt)───────────────H────┼@────H─────────@────────────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───────┼───────────────────────────────────────────────────────────────────────┼───────────┼───────────────────────@───────────────────────@───────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
        "                                                           ││                                ││                                                 ││                                       │           │                       │           │                           │                                                                       │           │                                                                       │                                             │\n",
-       "(1, 0): ────Ry(theta)────────@───────────────@────────H────@┼────H───────H────@─────H────────@┼─────────────────────────────────────────────────@┼────────H────@─────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────────┼───────────────────────────────────────────────────────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
-       "                             │               │              │                 │               │                                                  │             │             │                       │                       │                       │                           │           │                       │           │                       │                                                                       │                                             │\n",
-       "(1, 2): ────Ry(theta)────────┼@─────────────@┼────────H─────@────H───────H────┼@────H─────────@──────────────────────────────────────────────────@────────H────┼@────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "(1, 0): ────Ry(theta)────────@──────────────@─────────H────@┼────H───────H────@─────H────────@┼─────────────────────────────────────────────────@┼────────H────@─────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────────┼───────────────────────────────────────────────────────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                             │              │               │                 │               │                                                  │             │             │                       │                       │                       │                           │           │                       │           │                       │                                                                       │                                             │\n",
+       "(1, 2): ────Ry(theta)────────┼@─────────────┼@────────H─────@────H───────H────┼@────H─────────@──────────────────────────────────────────────────@────────H────┼@────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
        "                             ││             ││                                ││                                                                               ││            │                                                                       │                           │           │                       │           │                                   │           │                       │           │                                                         │\n",
        "(2, -1): ───────────────H────@┼────H────────┼┼─────────────@──────────────────@┼────────H─────@────H───────────────Rz(-2*dt)───────────────H─────@────H────────@┼────────────┼───────────────────────────────────────────────────────────────────────┼───────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
        "                              │             ││             │                   │              │                                                  │              │            │                                                                       │               │                       │                       │                       │                       │           │                       │           │                                                         │\n",
-       "(2, 1): ────────────────H─────@────H───H────┼@────H────────┼─────────X─────────┼──────────────┼──────────────────────────────────────────────────┼──────────────┼────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
-       "                                            │              │                   │              │                                                  │              │                        │           │                       │           │                           │                                                                       │           │                       │                       │                       │                                             │\n",
-       "(2, 3): ───────────────────────────────H────@─────H────────┼@──────────────────@────────H────@┼────H───────────────Rz(-2*dt)───────────────H────@┼────H─────────@────────────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───────┼───────────────────────────────────────────────────────────────────────┼───────────┼───────────────────────@───────────────────────@───────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "(2, 1): ────────────────H─────@────H───H────@┼────H────────┼─────────X─────────┼──────────────┼──────────────────────────────────────────────────┼──────────────┼────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                                             │             │                   │              │                                                  │              │                        │           │                       │           │                           │                                                                       │           │                       │                       │                       │                                             │\n",
+       "(2, 3): ───────────────────────────────H─────@────H────────┼@──────────────────@────────H────@┼────H───────────────Rz(-2*dt)───────────────H────@┼────H─────────@────────────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───────┼───────────────────────────────────────────────────────────────────────┼───────────┼───────────────────────@───────────────────────@───────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
        "                                                           ││                                ││                                                 ││                                       │           │                       │           │                           │                                                                       │           │                                                                       │                                             │\n",
-       "(3, 0): ────Ry(theta)────────@───────────────@────────H────@┼────H───────H─────@────H────────┼@─────────────────────────────────────────────────┼@────────H─────@────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────────┼───────────────────────────────────────────────────────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
-       "                             │               │              │                  │             │                                                  │               │            │                       │                       │                       │                           │           │                       │           │                       │                                                                       │                                             │\n",
-       "(3, 2): ────Ry(theta)────────┼@─────────────@┼────────H─────@────H───────H────@┼────H────────@──────────────────────────────────────────────────@─────────H────@┼────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "(3, 0): ────Ry(theta)────────@──────────────@─────────H────@┼────H───────H────@─────H────────┼@─────────────────────────────────────────────────┼@────────H────@─────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────────┼───────────────────────────────────────────────────────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                             │              │               │                 │              │                                                  │              │             │                       │                       │                       │                           │           │                       │           │                       │                                                                       │                                             │\n",
+       "(3, 2): ────Ry(theta)────────┼@─────────────┼@────────H─────@────H───────H────┼@────H────────@──────────────────────────────────────────────────@─────────H────┼@────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
        "                             ││             ││                                ││                                                                               ││            │                                                                       │                           │           │                       │           │                                   │           │                       │           │                                                         │\n",
-       "(4, -1): ───────────────H────@┼────H────────┼┼─────────────@──────────────────┼@────────H────@─────H───────────────Rz(-2*dt)───────────────H────@─────H────────┼@────────────┼───────────────────────────────────────────────────────────────────────┼───────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
-       "                              │             ││             │                  │              │                                                  │              │             │                                                                       │               │                       │                       │                       │                       │           │                       │           │                                                         │\n",
-       "(4, 1): ────────────────H─────@────H───H────┼@────H────────┼──────────────────┼──────────────┼──────────────────────────────────────────────────┼──────────────┼─────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
-       "                                            │              │                  │              │                                                  │              │                         │           │                       │           │                           │                                                                       │           │                       │                       │                       │                                             │\n",
-       "(4, 3): ───────────────────────────────H────@─────H────────┼@─────────────────@─────────H────┼@────H───────────────Rz(-2*dt)───────────────H────┼@────H────────@─────────────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───────┼───────────────────────────────────────────────────────────────────────┼───────────┼───────────────────────@───────────────────────@───────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "(4, -1): ───────────────H────@┼────H────────┼┼─────────────@──────────────────@┼────────H─────@────H───────────────Rz(-2*dt)───────────────H─────@────H────────@┼────────────┼───────────────────────────────────────────────────────────────────────┼───────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                              │             ││             │                   │              │                                                  │              │            │                                                                       │               │                       │                       │                       │                       │           │                       │           │                                                         │\n",
+       "(4, 1): ────────────────H─────@────H───H────@┼────H────────┼───────────────────┼──────────────┼──────────────────────────────────────────────────┼──────────────┼────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                                             │             │                   │              │                                                  │              │                        │           │                       │           │                           │                                                                       │           │                       │                       │                       │                                             │\n",
+       "(4, 3): ───────────────────────────────H─────@────H────────┼@──────────────────@────────H────@┼────H───────────────Rz(-2*dt)───────────────H────@┼────H─────────@────────────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───────┼───────────────────────────────────────────────────────────────────────┼───────────┼───────────────────────@───────────────────────@───────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
        "                                                           ││                                ││                                                 ││                                       │           │                       │           │                           │                                                                       │           │                                                                       │                                             │\n",
-       "(5, 0): ──────────────────────────────────────────────H────@┼────H───────────────────────────@┼─────────────────────────────────────────────────@┼───────────────────────────────────────@───────────┼───────────────────────┼───────────@───────────────────H───────@───────────────────────────────────────────────────────────────────────@───────────┼───────────────────────────────────────────────────────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
-       "                                                            │                                 │                                                  │                                                   │                       │                                                                                                                           │                                                                       │                                             │\n",
-       "(5, 2): ──────────────────────────────────────────────H─────@────H────────────────────────────@──────────────────────────────────────────────────@───────────────────────────────────────────────────@───────────────────────@───────────────────────────────H───────────────────────────────────────────────────────────────────────────────────────────@───────────────────────────────────────────────────────────────────────@───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "(5, 0): ──────────────────────────────────────────────H────@┼────H───────────────────────────┼@─────────────────────────────────────────────────┼@───────────────────────────────────────@───────────┼───────────────────────┼───────────@───────────────────H───────@───────────────────────────────────────────────────────────────────────@───────────┼───────────────────────────────────────────────────────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
+       "                                                            │                                │                                                  │                                                    │                       │                                                                                                                           │                                                                       │                                             │\n",
+       "(5, 2): ──────────────────────────────────────────────H─────@────H───────────────────────────@──────────────────────────────────────────────────@────────────────────────────────────────────────────@───────────────────────@───────────────────────────────H───────────────────────────────────────────────────────────────────────────────────────────@───────────────────────────────────────────────────────────────────────@───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n",
        "                            └──┘           └──┘           └──┘               └──┘           └──┘                                               └──┘           └──┘
" ], "text/plain": [ " ┌──┐ ┌──┐ ┌──┐ ┌──┐ ┌──┐ ┌──┐ ┌──┐\n", - "(-1, 0): ───Ry(theta)─────────@─────────────@────────────────────────────H────@─────H──────────────────────────────Rz(-2*dt)──────────────────────────────H────@─────H───H───@───H───────@───────────────────────────────────────────────@───────H───@───H───H───────────────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────────────────────────────────────────────────────────────────────────────────────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M('measure_all')───\n", - " │ │ │ │ │ │ │ │ │ │ │ │ │\n", - "(-1, 2): ───Ry(theta)────────@┼─────────────┼@───────────────────────────H────┼@────H──────────────────────────────Rz(-2*dt)──────────────────────────────H────┼@────H───────┼───────H───@───H───────────────Rz(-2*dt)───────────────H───@───H───────┼───────H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────────────────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + "(-1, 0): ───Ry(theta)─────────@──────────────@───────────────────────────H────@─────H──────────────────────────────Rz(-2*dt)──────────────────────────────H────@─────H───H───@───H───────@───────────────────────────────────────────────@───────H───@───H───H───────────────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────────────────────────────────────────────────────────────────────────────────────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M('measure_all')───\n", + " │ │ │ │ │ │ │ │ │ │ │ │ │\n", + "(-1, 2): ───Ry(theta)────────@┼─────────────@┼───────────────────────────H────┼@────H──────────────────────────────Rz(-2*dt)──────────────────────────────H────┼@────H───────┼───────H───@───H───────────────Rz(-2*dt)───────────────H───@───H───────┼───────H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────────────────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", " ││ ││ ││ ││ │ │ │ │ │ │ │ │ │ │ │\n", "(0, -1): ───────────────H────┼@────H────────┼┼─────────────@──────────────────@┼────────H────@─────H───────────────Rz(-2*dt)───────────────H────@─────H────────@┼────────────┼───────────────────────────────────────────────────────────────────────┼───────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", " │ ││ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", - "(0, 1): ────────────────H────@─────H───H────@┼────H────────┼───────────────────┼─────────────┼──────────────────────────────────────────────────┼───────────────┼────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", - " │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", - "(0, 3): ───────────────────────────────H─────@────H────────┼@──────────────────@────────H────┼@────H───────────────Rz(-2*dt)───────────────H────┼@────H─────────@────────────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───────┼───────────────────────────────────────────────────────────────────────┼───────────┼───────────────────────@───────────────────────@───────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + "(0, 1): ────────────────H────@─────H───H────┼@────H────────┼───────────────────┼─────────────┼──────────────────────────────────────────────────┼───────────────┼────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", + "(0, 3): ───────────────────────────────H────@─────H────────┼@──────────────────@────────H────┼@────H───────────────Rz(-2*dt)───────────────H────┼@────H─────────@────────────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───────┼───────────────────────────────────────────────────────────────────────┼───────────┼───────────────────────@───────────────────────@───────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", " ││ ││ ││ │ │ │ │ │ │ │ │ │\n", - "(1, 0): ────Ry(theta)────────@───────────────@────────H────@┼────H───────H────@─────H────────@┼─────────────────────────────────────────────────@┼────────H────@─────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────────┼───────────────────────────────────────────────────────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", - " │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", - "(1, 2): ────Ry(theta)────────┼@─────────────@┼────────H─────@────H───────H────┼@────H─────────@──────────────────────────────────────────────────@────────H────┼@────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + "(1, 0): ────Ry(theta)────────@──────────────@─────────H────@┼────H───────H────@─────H────────@┼─────────────────────────────────────────────────@┼────────H────@─────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────────┼───────────────────────────────────────────────────────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", + "(1, 2): ────Ry(theta)────────┼@─────────────┼@────────H─────@────H───────H────┼@────H─────────@──────────────────────────────────────────────────@────────H────┼@────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", " ││ ││ ││ ││ │ │ │ │ │ │ │ │ │ │ │\n", "(2, -1): ───────────────H────@┼────H────────┼┼─────────────@──────────────────@┼────────H─────@────H───────────────Rz(-2*dt)───────────────H─────@────H────────@┼────────────┼───────────────────────────────────────────────────────────────────────┼───────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", " │ ││ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", - "(2, 1): ────────────────H─────@────H───H────┼@────H────────┼─────────X─────────┼──────────────┼──────────────────────────────────────────────────┼──────────────┼────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", - " │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", - "(2, 3): ───────────────────────────────H────@─────H────────┼@──────────────────@────────H────@┼────H───────────────Rz(-2*dt)───────────────H────@┼────H─────────@────────────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───────┼───────────────────────────────────────────────────────────────────────┼───────────┼───────────────────────@───────────────────────@───────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + "(2, 1): ────────────────H─────@────H───H────@┼────H────────┼─────────X─────────┼──────────────┼──────────────────────────────────────────────────┼──────────────┼────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", + "(2, 3): ───────────────────────────────H─────@────H────────┼@──────────────────@────────H────@┼────H───────────────Rz(-2*dt)───────────────H────@┼────H─────────@────────────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───────┼───────────────────────────────────────────────────────────────────────┼───────────┼───────────────────────@───────────────────────@───────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", " ││ ││ ││ │ │ │ │ │ │ │ │ │\n", - "(3, 0): ────Ry(theta)────────@───────────────@────────H────@┼────H───────H─────@────H────────┼@─────────────────────────────────────────────────┼@────────H─────@────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────────┼───────────────────────────────────────────────────────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", - " │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", - "(3, 2): ────Ry(theta)────────┼@─────────────@┼────────H─────@────H───────H────@┼────H────────@──────────────────────────────────────────────────@─────────H────@┼────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + "(3, 0): ────Ry(theta)────────@──────────────@─────────H────@┼────H───────H────@─────H────────┼@─────────────────────────────────────────────────┼@────────H────@─────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────────┼───────────────────────────────────────────────────────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", + "(3, 2): ────Ry(theta)────────┼@─────────────┼@────────H─────@────H───────H────┼@────H────────@──────────────────────────────────────────────────@─────────H────┼@────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", " ││ ││ ││ ││ │ │ │ │ │ │ │ │ │ │ │\n", - "(4, -1): ───────────────H────@┼────H────────┼┼─────────────@──────────────────┼@────────H────@─────H───────────────Rz(-2*dt)───────────────H────@─────H────────┼@────────────┼───────────────────────────────────────────────────────────────────────┼───────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", - " │ ││ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", - "(4, 1): ────────────────H─────@────H───H────┼@────H────────┼──────────────────┼──────────────┼──────────────────────────────────────────────────┼──────────────┼─────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", - " │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", - "(4, 3): ───────────────────────────────H────@─────H────────┼@─────────────────@─────────H────┼@────H───────────────Rz(-2*dt)───────────────H────┼@────H────────@─────────────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───────┼───────────────────────────────────────────────────────────────────────┼───────────┼───────────────────────@───────────────────────@───────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + "(4, -1): ───────────────H────@┼────H────────┼┼─────────────@──────────────────@┼────────H─────@────H───────────────Rz(-2*dt)───────────────H─────@────H────────@┼────────────┼───────────────────────────────────────────────────────────────────────┼───────H───H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " │ ││ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", + "(4, 1): ────────────────H─────@────H───H────@┼────H────────┼───────────────────┼──────────────┼──────────────────────────────────────────────────┼──────────────┼────────────@───────H───@───H───H───@───H───Rz(-2*dt)───H───@───H───H───@───H───────@───────H───────┼───────────────────────@───────────────────────@───────────────────────┼───────H───@───H───────@───────────┼───────────────────────┼───────────@───────H───@───H───H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │\n", + "(4, 3): ───────────────────────────────H─────@────H────────┼@──────────────────@────────H────@┼────H───────────────Rz(-2*dt)───────────────H────@┼────H─────────@────────────────────────┼───────────┼───────────────────────┼───────────┼───────────────────H───────┼───────────────────────────────────────────────────────────────────────┼───────────┼───────────────────────@───────────────────────@───────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", " ││ ││ ││ │ │ │ │ │ │ │ │ │\n", - "(5, 0): ──────────────────────────────────────────────H────@┼────H───────────────────────────@┼─────────────────────────────────────────────────@┼───────────────────────────────────────@───────────┼───────────────────────┼───────────@───────────────────H───────@───────────────────────────────────────────────────────────────────────@───────────┼───────────────────────────────────────────────────────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", - " │ │ │ │ │ │ │ │\n", - "(5, 2): ──────────────────────────────────────────────H─────@────H────────────────────────────@──────────────────────────────────────────────────@───────────────────────────────────────────────────@───────────────────────@───────────────────────────────H───────────────────────────────────────────────────────────────────────────────────────────@───────────────────────────────────────────────────────────────────────@───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + "(5, 0): ──────────────────────────────────────────────H────@┼────H───────────────────────────┼@─────────────────────────────────────────────────┼@───────────────────────────────────────@───────────┼───────────────────────┼───────────@───────────────────H───────@───────────────────────────────────────────────────────────────────────@───────────┼───────────────────────────────────────────────────────────────────────┼───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", + " │ │ │ │ │ │ │ │\n", + "(5, 2): ──────────────────────────────────────────────H─────@────H───────────────────────────@──────────────────────────────────────────────────@────────────────────────────────────────────────────@───────────────────────@───────────────────────────────H───────────────────────────────────────────────────────────────────────────────────────────@───────────────────────────────────────────────────────────────────────@───────H───Rz(-2*dt*he)───Rx(-2*dt*lambda)───M──────────────────\n", " └──┘ └──┘ └──┘ └──┘ └──┘ └──┘ └──┘" ] }, - "execution_count": 27, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -665,7 +706,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 26, "id": "e4aec731", "metadata": {}, "outputs": [], @@ -699,7 +740,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 27, "id": "5b1af32b", "metadata": {}, "outputs": [], @@ -717,7 +758,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 28, "id": "a3824a60", "metadata": {}, "outputs": [], @@ -762,7 +803,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 29, "id": "80377772", "metadata": {}, "outputs": [ @@ -778,7 +819,7 @@ }, { "data": { - "image/png": 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", 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", 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", 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", 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", 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", 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", 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", 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" ] @@ -877,13 +918,13 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 30, "id": "9a77f2a2", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -975,7 +1016,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 31, "id": "b901211c", "metadata": {}, "outputs": [], @@ -1023,7 +1064,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 32, "id": "8cabb739", "metadata": {}, "outputs": [], @@ -1042,7 +1083,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 33, "id": "e42ffad0", "metadata": {}, "outputs": [], @@ -1078,13 +1119,13 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 34, "id": "8f58c501", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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", + "image/png": 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", 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", 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", 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", + "image/png": 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", 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+ "image/png": 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", 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", 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", 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", 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", 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", 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", 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MnjxZvGft2rWG16g61Gt54YUXMDg42LWApxPyPIGBWKlSJbxw4YLsj2B5jh8/LrZV9+7d8e7du5re89///tft9zCewSJuENSq7ty5833+t7ut91GjRnHXPxuot3Kf/631ls4nj4yMlP1RLMuPP/7ocavandY74zks4hL8b3eWQz45df1v376ta42297/dEHP2yTFLf/ujjz7CBx980Ct/O71Pvn37dl1rZP6GRVxnaPRDsWLFdBtpkt2IFqdC2/Szzz7T5n+7IeTsk+N9I02eeuopvHz5si7LXLlypWjRz5w5U5flMf+DRVxHcZk4caJb/rc7y2af/H/+d5A7/rebLXKn++Tkfz/88MPYo0cP3b3sVJ/8rbfeYp9cR1jEdfa/jRxV4mSf3Cv/m31yt/zvWbNmGbYO9sn1h0XcIv63O+tzmk+um//NPrmh/rc762OfXD9YxC3kf2vFKT65If43++SG+99aYZ9cH1jELeZ/u1PDlClTbOuTG+p/s09uuP+tFfbJvYdF3KL+t1a2bNliO5/cFP/b4T65Gf63Vtgn9w4WcQv731r5/fffbeOTm+5/O8wnN9v/1gr75J7DIm5x/9udHkLXrl2V9cml+t8O8cll+t9aYZ/cfVjENbBw4UKp/rcnPvmePXtQJah3I9X/drNFTj5ubGwsqsL169el+9/u+uT9+/eXXYoS8EUhNF5kICAgAEJDQ8HK+Pj4QMGCBcWFEBISEkC1y6iBIpdRu5eSArdv3xbbWRXu3bsHcXFxYv/w9/cHKxMcHAwhISHw559/yi5FDWQfRVRhxYoVopv3zTffoBVJSkoSLZdy5crhgQMHUDWSk5Oxd+/ewq6wup3SqFEjjImJQdW4cuUKNmjQAFu2bInR0dFoRVKD+s8//9yStqUVYRFXbEhWVty4cQOfeeYZcaO/VbeuLCnkZKMEBeHAgQNFCKcqiYmJ+O6772LFihXx6NGjaEUrcM2aNbLLUQoWcTehFhiNX65Xr54lwiFqdVPrm1rh1Bq3AwcPHhQhcq5cuSwj5jRf+Q8//IB2Yfbs2VioUCFLfKbUUL5q1ap46tQp2eUoB4u4B1BLbPjw4WKY1o4dO6TVsWjRIvFDpP/txs2bN8UoCqmtcgDMlTu3GPZ27NgxtBu7du3CUqVK4dChQ6X1Lmh4bK1atfDll19WfnisLFjEFfTJVfe/lfDJFfe/VfDJ2f/WBxZxxXxyO/nflvXJbeJ/W9UnZ/9bX1jEFfLJ7eh/W9Ent5v/bSWfnP1v/WERV8Qnt7P/bQmf3Ob+txV8cva/jYFF3OI+uVP8b6k+uUP8b5k+OfvfxsEibmGf3In+t+k+ucP8b7N9cva/jYdF3KI+uZP9bzN9cqf632b45Ox/mwOLuAV9cva/DfbJ2f823Cdn/9s8WMQt5JOz/22CT87+t+E+Ofvf5sIibhGfnP1vE3xy9r8N9cnZ/5YDi7gFfHL2v83xydn/Ns4nZ/9bHizikn1y9r+N98nZ/zbWJ6eLSLP/LQ8WcYk++QMPPMD+t8E+OV2rk/1vY31yuqA1+9/y8KF/ZF+YwqlcvXoV8uTJY/krBqnMmTNnoFy5cuDryxexMoKkpCSIiooS25iRA4s4wzCMwnDzhGEYRmFsJeLXrl0jj192GbbuOt+6dUt2Gbbmzp074oLGjHHcuHFDXDjaLthGxJcvXw5FixaFqVOnyi7FltDBsVOnTlCiRAk4cuSI7HJsSUxMDFSqVAlq1qwJ8fHxssuxJdu2bYPixYvDkCFDwDagDTh8+LAYpvf999+LEw02b94suyTbMXHiRAwKDhbjrelsvFu3bskuyXZDT59++mnMlSc3BgYFYtu2bXm0h85ERUVhiRIlcN68eVi2bFlcsmQJ2gHlRZzEpEKFCuKLIdauXStE5uLFi7JLsw10GnVgYODfJ834+opx1/Xr1xfD+Bh9GDBgwN8HSV/axj7i77Fjx8ouyzYkJCRg7dq1ccSIEeL+vn37RMOPTg5THaVFnESkefPmYjxwekaNGoVhYWHiLDLGO2gio/z586cJuLj5/C0yffr0kV2eLVi2bJlofQsB9/P9++brIw6ckZGRsstTnpSUFHz99dexTZs2GXo3CxYswIceekicHKYySov44MGDRReU5nRID31RERER2KVLF+6SegEdBCtXrox+/v7/E/B0Qk7zkNilSyoLmoMkrQWeKuDphDw0NFScEcl4ztSpU7FKlSpZnk1KDZGmTZsq3asElVsvpUuXxqtXr2b5/J07d7BatWo4efJk02uzA3Twa9euHeZJZ6NkJeR0ajtlEoz70GyANB1AlgL+z40OoJUqVcK4uDjZ5SrJ1q1bxQyi2c3nQnMVNW7cWEyKpiqgcpC5Z8+eHF93+vRpDjp1CDKzFPB0Qs5Bp3dBZnYCnmarcNDpVZC5evXqHF93/fp1pYNOUD3IdAUHnd4Hma5uHHR6GWTmJOL/CDkHnd4Fma5QOehUSsRJJFq0aHFfkOkKDjq9DDJd3f6xVfr27Su7fHWDTA1CTgfWTZs2yS5f2SDTFaoGnaBakNmwYcP7gkxXcNCpQ5CpUchV7ZJaIsjUIOQcdHoXZLpCxaAT7BJkuiI16Jw0aZLutTkmyNQo5Bx0eh5kurpx0OldkOmK1KCT7C5VADsFma7goFOHIFODkHPQmXWQSb1Il0GmFluFg85sg8zixYu7DDJdoVrQCXYLMl3BQaf3QSYHnQYHmRx0Gh5k2inoBDsGma7goNPLIJODTuODTA46DQ8y7RJ0WvqiEDTT2K+//grr16+HgIAA3ZZLH7ldu3YQFBQE3377Lfj4+IATSUhIEDPmnTh5Eu6lpOi7cEQICgyE2bNnQ0REBDiVY8eOQVitWhAXHweg936GCKEh+eDQoUNQunRpcCrTpk2DKVOmwI4dOyBv3ry6Lrtv375i1s7Vq1eDn58fWBK0aZDpCqcHnalBpp42Cged9weZdLKJri1wDjrvCzKLFCnicZCpJehs0qSJpYNOsHOQ6QonB526BZkcdBobZHLQaXiQqXrQCXYPMl3hxKBT7yCTg06Dg0yNQee4cePQKegdZKocdIIVg8xevXqZul4nBZ2GBJlabJXgYMcEnYYEmRx0Gh5kqhp0WirYNCrIdIVTgk5Dg0xXOCToNDTIdIVDgk4jg0wlg050SJDp9KDTlCDT4UGnGUGm04NOo4NMFYNOcFKQ6eSg07Qg06FBp2lBpoODTrOCTNWCTktc7X7u3LnQqFEj0dWXSfny5eG1116D6dOng9344osvIC5OQhc/C6Kjo2HNmjVgJ86ePQtbt26FxMREuYX4+EB8QgIsX74cYmJiwE4sW7YMypYtC82bN5daR6FCheDdd9+FSZMmgSVAC3Djxg0sV64cLlq0SGodGzduxKJFi+K5c+fQbmzYsEGulfLPLSBXLqxTp47oltoNCuSDgoOk2impI1VGjhyJdoMsoho1auCXX35pCedg7969aAUsIeLEgQMHxIah/2Vw/vx5IeD/+c9/0K6MGTNGrqXi4yPsKuqO2hEaXfXkk09iQO5c0gScZqF86aWXbGelpELT8BYrVgzXr18vZf23bt3C8uXL4/z589EqWEbECWqJU4ucWuZmEhsbi48//rjtJxSiH3Z4eLh30816GWru378f7QwNPyOREdvXZBH39fMT51jQ/mxnIiMjRYPr7Nmzph+kmzVrhu+99x5aCUsNMST69+8PBw8eFEN4/P39DV8fffyOHTuKv+fPn2/b4YWpkC/++OOPw+kzZyDFrK/+n+GFM2fOhPbt24PdoSF+devWhbiEePMyCETIlzcEDhw4AOXKlQO7M2HCBDFcdfv27WJosBkMHjxYDGtct26dKdqkGbQYqUN4+vfvb8r6vvrqK3zsscds33rJbB3ly5fPnNb4Py3wd955B53EwoULxec264xNyjvWrVuHToF6lR07dsRXX33VFOto6dKlWKZMGbx27RpaDcuJuJlBp52DTKsEnXYOMi0RdNo4yLRK0HnYYkGmEiJuRtDphCBTetBp8yBTetDpgCBTdtB5y4JBpjIintolNSLodEqQKTXodEiQKTPodEqQKSvoTLZokGn5YDMz/fr1E0GRXkGn04JMKUGnw4JMKUEnIoTkDYGDDgkyZQSdg60aZGYGLY7eQacTg0xTg06HBpmmBp0ODDLNDjqXWjjIzIzlRTx90Ll48WKvluPkINOsoNPJQaYpQaeDg0yzgs7DFg8ylRRxPYJODjJNCDodHmQaHnRykGl40HlLgSBTWRH3JuikIzQHmQYHnRxkGh50cpBpbNCZnJyMzZs3t3yQqVyw6W3QSR+vU6dO4n8OMg0KOjnIND7o5CDT7aBzzpw54iIzWoNOZYLMzKBiuDspOweZBgedHGR6BJ3Ipjno5CDTo15lp06dNAedKgWZmVFOxN0JOjnI9BzadlqCTg4yPad3796ug04OMg0POg8rFmTaQsQJ8l5zCjo5yDQh6OQg09igk4NMw4POWwoGmbYR8dSgM6urT3OQaULQyUGm4UGnr7+fEBi6/iujf9CZrGiQqXywmVXQefjw4bSrT3OQaULQyUGm8UEnB5mGB52DVQ0yM4OKkzno5CDT4KCTg0zjg04OMg0POpcqHGRmRnkRTx909unTh4NMg4NO/4AADjINDjo5yDQ26Hz77beVDjJtZ6ekQlcDCg8PF138Jk2ayC7HlowbNw5mzJghuqR0xW9GX+7duwctWrSAAgUKwOLFi9kKNICLFy+KbTxo0CDo0KED2AHbiDjDMIwT8ZVdAMMwDOM5LOIMwzAKwyIukcjISDG8jDGG5ORkWLhwIURHR8suxbZcuXIFli5dCikpKbJLcSws4pICrP79+8Nzzz0HderWhXnz5skuyXbcuHEDmjVrBp988gmEhYXBkSNHZJdkO2iMdeUqlcV5GRQW3r59W3ZJjoRF3GRiYmKgcePGMHXaVIi/mwDxCfHQo0cP6Nmzp2g5Mt6zf/9+Idx0O3r0KAwfPhwaNWoEy5Ytk12abaBRSrQfR8fEQELiXdi8ZQtUrVoVTp48Kbs05yF7jKOTOHLkCJYoUQJz5c6dcdIjmuQoKAjDwsJscfKBTBYsWCDGAC9ZsiTD4zQmmE7uGDRokDjdmvGMu3fvYpcuXf6eUyfTxF0+fr6YN29e/Omnn2SX6ShYxE2CzhDLcepRXx8xI2DhwoVtcxKCmdDJR++//76Ya+TQoUNZvoYOkE8//bSYL4MmPmLc49KlS1i9enUMdLEfBwYF4ocffoj37t2TXbIjYDvFJP+7U+fOOV8EwMcHku4lw/WbN6Be/frsk3vgfx87dgx27doF1apVy/J1hQsXhvXr10OlSpXYJ/fA/65StQocPX5MWIA57cfxCQkwdtw49snNQvZRxM5ER0djgwYN3L847j/2Svfu3fn0dhfs27cPy5Ytix988IFbNsm8efOE7UI9JCZnpk+f/vfc8m7uw7nz5MHSpUvjiRMnZH8EW8Mibrb/7caPgLqt7JO79r+///57j97PPrlG/1vrFYiyuJFPHsw+uaGwiMvwv90QcvbJPfO/tUIHyEaNGrFP7on/7U6DJJB9cqNgT1yG/62V9D55vXrsk7vhf2uFfHKaT/qRRx5hn9xd/1sr5JPfZZ/cMAw7PDjW/75/6JUuN/bJPfa/tUKX6HK6T+6R/80+uVRYxK3gf7NPbrj/rRWn+uR6+N/sk8uBRdwq/jf75Ib731pxmk+uq//tToOEfXJdYE/cKv63Bz55fZuPJ9fb/9aKk3xy3f1vrbBPrh/6HAucheH+txutGbv65Kn+t2xbw84+uaH+txv7MPvk3sEiblX/200ht5NPTv432UVWEU67+eRm+t9ab+yTew5fns0NaBa8zmbbJ1pAhAD/AMgfGgpr166FGjVqgIrQLI4DBgyAn376CVasWCFmxbMK169fh1deeQVy584t5iin62CqyOXLl4V9cfLUKXPtEy0gQmDuPNCvXz/46KOPwNeX3V4t8Faysv/tIJ88vf+9e/duSwm4XXxyaf63Vtgn9whuiWuAWocTJ06Eu0mJ1tvxM4MI/n5+sHjRYmjTpg2oQs2aNUUPYvr06eDn5wdWhmqk1iJdOb1gwYKgAufOnYOKFSvCPUxRYh+mnuUTNWvC9u3bZVdjebglroHw8HAICgoCfz9/sYNZFkTIkzsPlCtbDmrVqgUq0aVLF1i5ciVs3rwZrMzp06dh8uTJ0K5dOwgJCQFVKFq0KDRt2hSCAoOsvQ//AzVE3nrrLdllqIEXfrqj+OOPP7BatWrmjqV1N+AMDsbWrVtjbGwsqsjGjRuxWLFiOHbsWExJSUGrsXr1aixSpAhOnTrVkvW5gmr+6KOP5I9IyWEf9s8VgA888ADu2rVL9uZSBhZxN0hISMAOHTrIH1qYxc5PP8zRo0crKS7pOX/+PD7++OPYvn17yxyMaJuOGDECixcvjlu3bkXV+fnnn8UVeGhEiGX243/ORq5ZsyZeuXJF9iZSCrZT3IBGJsyfPx++GDNGpOjSu6VI+74P5MsbAqtWrRLevY/V/U4XlClTBn799VfxOZ566ik4f/681Hru3LkDbdu2FSNmKHClichUp2XLluI6pGVKlYbcuXJbYj8OyhMIHdq3h99++01YP4x2WMQ9gC5qTFeIKRCaH/x9/eT8CP7xv8uXewgOHjwoLlprFwIDA8UIGxrOWadOHdi4caM0/5vWnz9/fuHVlyxZEuxChQoV4NChQ9C4USO5Pvk/wwonTZoEM2fOhICAADl1qIzsroDKSPPJbeB/W90nV93/trxPzv63brCIq+aT28j/tqJPbjf/25I+OfvfusJ2iio+uQ39b6v55Hb0vy3nk7P/rTss4ir45Db2v63ik9vZ/7aMT87+tzHo27BndPfJHeR/y/LJneJ/S/PJ2f82FBZxK/vkDvS/zfTJnep/m+qTs/9tOCziBjJlyhTPWjO+Pujr74f58uXDDRs2yP4YliUuLk4cLB977DE8d+6cW++9ffs2tmnTBmvXro1RUVGG1ag6p06dEvO605zfnuzHNN3tG2+8gYmJibI/im1hETeYbdu2YYECBdA/IEDbj8DXB/MEBmLFihXdFiYnQq3pr776CosWLar5gEfCVKVKFXz99ddFr4nJmb/++gtbtGjhXs/yn17kN998I7t828MibiWfnP1vw31y9r8N9snZ/zYdFnGr+OTsfxvqk7P/bYJPzv63FFjEZfvk7H8b7pOz/22CT87+tzRYxCX75Ox/G+uTz507l/1vo31yH/a/ZcJX9pHEpUuXoFWrVuJsxLlz54qLTjD6EhkZKU7C6tWrF3Tv3t0xZ7iaBUnHJ598IvbfJUuWiMvWMebDIs4wDKMwfNo9wzCMwrCIMwzDKIxtRDw5ORnmzJkDsbGxskuxLXR193//+9+yy7A1NFvj3r17ZZdhWxARFi1aBNeuXQO7YBsRp6lZ33vvPejWrZv4ohh9iYuLgxdffBG6du0K3333nexybMmBAwdE2E3Twp45c0Z2ObZk/Pjx0KNHD4iIiICkpCSwA7YQcRIVmgP6+PHjcOrUKRg7dqzskmwFHRTp4Fi9enXYtm0b9OnTB/bt2ye7LFtx8+ZNCA8PhylTpsCwYcOgdevW3KvUmY0bN8KYMWPEvOnBwcHQr18/sAWoOHv37sVChQrh4cOHxf2LFy+K06/XrVsnuzTb8OWXX4qz8OhEGmLZsmVYpkwZvHbtmuzSbEFSUhI2adIEBwwYkDbOvWvXrhgREcFn7+rEuXPnxHkDND0DER0dLc7PoPMIVEdpEScRITFZunRphsc3bdokvrCzZ89Kq80urF+/XhwUL1y4kOHxwYMHY6NGjYQAMd7Rt29fbNq0KSYnJ6c9Fh8fj2FhYThq1CiptdmB2NhYcQYvnQCWnqNHj4oG4O7du1FllBVxEg8SkQ8++CDL5ydMmICPPvoo3rlzx/Ta7AIdBOlgGBkZed9zJDh0xt57770npTa7sGDBAnzooYfw5s2b9z33+++/i7le1q5dK6U2O5CSkoKvvfaamE8nq17N8uXLsXTp0nj16lVUFWVF/P3338fmzZtnaL2kh76wTp06Ybt27bhL6mHrpXr16jh+/PhsX3Pr1i2sUKECzp8/39Ta7ML+/ftFS/DgwYPZvmbLli1i1sXTp0+bWptdGDdunJgULadZQYcMGYINGzZUds4XJUWcRKN8+fJCRHKCPFzycr/44gvTarMDdNB79dVXxUHQ1QGQsojChQuLbILRzo0bN7BcuXK4ZMkSl6+dPHmymMqYe5XusWHDBmEF0uyWOUENwZYtW2KvXr1QRUDVIPPQoUOaXs9Bp/dBpisok+Cg0/Mg0xV0IO3SpQsHnV4Ema5QOehUSsSvX78uxOL77793630cdHofZLpi0KBBHHR6EWS6IjXopPnmGc+CTFeoGnQqI+IkDo0bN842yHQFB53eBZmu4KDT+yDTFalB5y+//GJIbU4IMl2hYtAJKgWZzZo1c6v1klXQ+corr3CX1MMg0xWUUVBWMW/ePF1rc1KQ6YrNmzdz0JkDY8eOdRlkuoKCzgYNGigTdIJKQaYnrZf0cNDpfZDpCgo6Sag46LzfCqSr4WgJMl0xadIkDjq9CDJdoVrQCXYLMl3BQWfWQWaNGjU0B5mu4KDTuyDTFRx0eh9kagk6afisCkEn2DHIdAV5vhx0ehdkuoKDzoxB5rPPPuuxFZgVHHTeH2SOGzdO1+UeOXJEiaAT7BpkuoKDTu+CTFeQYNHJWE4POr0JMrX0Kp0edKZ4GWTaIegEuwaZrnB60KlHkOkKpwedegSZrnB60DlWhyBT9aAT7BxkusKpQaeeQaYrnBp06hlkusKpQadeQabqQaflRHzfvn26BpmucGLQqXeQ6QqnBZ16B5mucGLQqXeQqXLQCU4IMl3hpKDTqCDTFU4KOo0IMrUEnU888YQjgk6jgkxVg06wWpA5cOBAKet3QtBpZJDpCqcEnUYGma5wQtBpdJCpYtAJTgkynR50mhFkOj3oNCPIdHrQaUaQqVrQaQkRp/DHjCBTa9Dp7sQ5KtCxY0dTgkytQadMoTOCmJgY04JMrUFnQkIC2gk6QJkRZGoNOvv06YNWwBIXSv7jjz+gWLFiEBISIrWOPHnyQJkyZSAqKgrsBm3jihUrgo+Pj9Q6ihQpIrYzXRjYTiQkJMDt27ehbNmysksR3/O1a9cgOTkZ7MTVq1chNDQUChYsKLUOPz8/qFChgnV0Ai3AvXv38LnnnsN33nlHah0jR47EWrVqiZDIbkRFRWGJEiXw559/llYDdT+pG0rdUTuyYsUKfPDBB/Hy5cvSaiAbhewUuiKQHXnjjTewdevWQjNkMW/ePE0XpTELS4h4+knZZ8+eLWX9q1evFiJHYmdXtm3bJq7Cc/LkSSnrf/fdd0U3VFbuYQbDhg3DevXq4d27d01f9+3bt7Fq1ariSkB2hSyiunXr4qeffip1LqfDhw+jVbCMiKeflH3Xrl2mrvfUqVNC3LZu3Yp2Z9q0aVi5cmX866+/TF0vHZzpIE0HaztDLcQXXngBe/bsaep6Ket4+eWXsWvXrtJzD6P5448/sGTJkrhq1SpT10vnOdAQaDrvwUpYSsSJH374AUuVKoVXrlwxZX0kZlWqVMGpU6eiE6AfeLdu3TA8PNy0HzuNq6WDMx2knQCFnA8//DB+8803pq1z1KhRYkIsO1qBWfHrr7+KhteJEydMswKffvppcb6D1bCciBNDhw41ZQgPiVibNm3w9ddft33rJXOXtHbt2jhixAjD10XjaWlcLY2vdRLHjx8XB66dO3cavq61a9eK8eF05R8nMWPGDHzkkUdM6VXS+Q10noMVrUBLirhZQaedg0wrBJ12DzKtEHTaPci0QtA5z2JBphIibkbQ6YQgU3bQ6YQgU2bQ6YQgU3bQudeCQaYyIm5k0OmkIFNW0DlnzhxHBJmygk6y/9q2beuIIFNW0HnNokGmUiJuRNDptCBTRtBJQSYdJJ0SZMoIOp0WZJoddCZaOMhUTsT1DDqdGmRqDTo/++wzr5fl1CBTa9C5Y8cOr5fl1CBTa9D5559/er2s3r17WzbIVFLE9Qo6nRxkmhF0Oj3INCPodHqQqSXobNWqlVdBp9WDTCVFXI+gk4NM44NODjKNDTo5yDQ+6NyrQJCprIh7E3RykGl80MlBprFBJweZxged1xQJMpUWcU+CTg4yjQ86Ocg0PujkINPYoDNRoSBTeRF3J+jkINPzLmmdOnU0BZ2pQSYdXBn3gk4SGS1BJweZxgedvXv3xhYtWihpBSop4lqDTgoyadSF3SbHN6tL6iroTA0y6aDKGBN0cpDpHW+++abLoFO1INMWIq4l6OQg0/igs1evXhxkGhh0cpBpfNC5V8Eg0zYinlPQyUGm8UHn3LlzOcg0MOgk+y8iIgK7dOnCVqBBQec1RYNMW4l4VkEnB5nGB50cZBofdHKQaWzQmahwkGk7EU8fdFKXlINMY4NODjKNDzo5yDQ+6OytcJCZGR/6BxQnJSUFXnzxRbhw4QIEBwfD5s2bIXfu3LLLshWXLl2CsLAwyJ8/P4SHh8Onn34quyTb8eOPP8Lbb78NSUlJsGzZMqhfv77skmzHW2+9Bdu3b4f4+HjYvXs3FChQAFTHFiJOxMTEwLBhw2DgwIFQsmRJ2eXYkh07dsDq1ath+PDh4orfjP7MmjUL8ubNC+3atZNdii25e/cuDB06FDp37gxVq1YFO2AbEWcYhnEivrILYBiGYTyHRZxhGEZhWMQlkZCQAP369YPx48fTCCHZ5diSc+fOwWuvvQZbtmyRXYpt+fnnn4W/fOXKFdmlOBYWcQlERUVBw4YNhch89913QmhiY2Nll2Ur/vOf/0DdunWhaNGi0LZtW5g8eTIfLHUeEUYjlGi0R0hIiBi5tHPnTtllORPZYxydBs2BQWOAP//8czGWPS4uDjt16oSPPvoonj17VnZ5ykPb9Msvv8RixYrhxo0b0+YfqVatmjj7kU+e8R46oY7mI6HT2elsyNR5YGicu56XoGO0wSJuorhMmTJFTGa0Zs2a+56bMGGCeG7dunXSalSd2NhYfPXVV7FGjRp4/vz5DM/duXNHnMb+xBNP4MWLF6XVqDp0xiOdMEMTS2WeWI5OWKIzT3v06OHRRS8Yz2ARNwFq/dFk/jSZEc3rkh2bNm0SLcgxY8bwGaduQr2Y6tWrY4cOHUTvJitom44ePVr0hDZv3mx6jaqzcuVK0dqmMx9zmkKA5oKhSb28uQwdox0WcYOhU6fpup4vv/yymJXOFRcuXMCaNWtiu3btROuRcc369euxaNGiOH78eE0Hv19++UX0eiZNmsQHS42TdH3yySdiEqnt27drev3w4cPFNLt6XBiayRkWcRP9b62wT+65/60V9sk997+1wj65ObCIm+x/u7MM9sk987+1wj655/63VtgnNx4WcUn+t1bYJ/fM/9YK++Se+99aYZ/cWFjEJfrfWmGf/H7/m3opeh7U2Cf3zP92Z7nskxsDi7hk/1sr1OLs3LmzY33y9P53ZGSkIetwuk/ujf+tFfbJ9YdF3AL+tzvrmjhxomiJOsknT+9/U6/ESJzqk+vhf2uFfXJ9YRG3kP+tFSf55Kn+d8eOHb32v7XiNJ9cT/9bK+yT6weLuMX8b61QK5Fai3b2yY3yv7Vid5/cKP/bnfWzT+49LOIW9L+d7pOb4X873Sc3w//WCvvk3sEiblH/26k+uZn+t1N9cjP9b62wT+45LOIW97+d5JPL8L+d5pPL8L+1wj65Z7CIK+B/O8Enl+1/290nl+1/a4V9cvdhEdfAu+++K1rgKnTzyN8MDQ3F2bNno0o89NBD2LdvX1SBJUuW0NUl8OrVq6gKx44dEzVv2LABrQ4dHKk3Rg0nxjUs4hqIjo7G5557DuvXr49XrlxBq3Lo0CEhhn369MGkpCRUif3792O5cuWwf//+mJycjFZl7ty5WKhQIVy+fDmqBgWHVDsFiVaFPPpu3bph5cqV8eTJk7LLUQIWcTe6eR9++CGWKlUKd+3ahVZsHdIPdMGCBagqN27cwCZNmuCzzz6LN2/eRCuRmJgoemQVKlTAI0eOoKrs3LlTWBXDhg0T+7SViIqKwtq1a2N4eLgYPcNog0XcTX744QchllaxK6jVOnDgQCxbtizu27cPVYd6EP369RM9ioMHD6IVINukYcOG2LJlS9ErUx0KDSk8pBCRwkQrsG3bNixRogSOGDFCqazBCrCIe8DRo0exYsWK+M4774gWmiyotdqsWTNs3LgxXr9+He3EwoULxcFy8eLFUuvYvXs3li5dGocMGWJpm8ddKN/p2bOnGNZHw/tkQYI9bdo0MWLm559/llaHyrCIK+qTq+x/q+KTq+x/q+CTs/+tDyziCvrkdvC/reyT28X/trJPzv63frCIK+ST283/dtcnp1b5gQMHDF2X3fxvK/rk7H/rC4u4Ij45tUKbNm1qS//bXZ980aJFhizfrv63VXxy9r+NgUVcAZ+cRmnY3f92xyenngj55HpuCyf43zJ9cva/jYNF3OI+uZP8b3d98meeeUb87Q1O879l+OTsfxsLi7hFfXLqzg8YMMBx/reZPrlT/W8zfXL2v42HRdyCPjn738b75E73v432ydn/Ng8WcYv55Ox/G++Ts/9trE/O/re5sIhbyCdn/9tYn5z9b+N9cva/zYdF3AI+Ofvfxvvk7H8b75Oz/y0HFnHJPjn738b75Ox/G+uTs/8tFx/6BxhTiYmJgQ4dOoj/L1++DK1atYLRo0eDv7+/7NJsw4EDB6B169YQFhYGkZGRMGPGDAgPD5ddlq349ttvYeDAgVCvXj04efIkrFixAipWrCi7LMfBIi6JlJQUmDBhApQsWRIiIiJkl2NLbt68CaNGjYIuXbpAlSpVZJdjS3bt2iXEe9CgQRASEiK7HEfCIs4wDKMwvrILYBiGYTyHRZxhGEZhWMQZhmEUhkWcYRhGYVjEGYZhFIZFnGEYRmFYxBmGYRSGRZxhGEZhWMQZhmEUhkWcYRhGYVjEGYZhFIZFnGEYRmFYxBmGYRSGRZxhGEZhWMQZhmEUhkWcYRhGYVjEGYZhFIZFnGEYRmFYxBmGYRSGRZxhGEZhWMQZhmEUhkWcYRhGYVjEGYZhFIZFnGEYRmFYxBmGYRSGRZxhGEZhWMQZhmEUhkWcYRhGYVjEGYZhFIZFnGEYRmFYxBmGYRSGRZxhGAbU5f8BRqI1JWBvSugAAAAASUVORK5CYII=", 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", 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", 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", 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", 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SI+SKSoHD+w/giy++sPdQhYQ/hadMnYqJU6cgpJwrkC1D4jf+GAKXSz6oX+M7rPReDmdnZ3sOVej+u3lLD5y5dQ3BVb4EXFImfmPf13A+/xCzfv0NPXv0sOcwDQmFuILwXes1Zw5Gjh2NkK8KAbkzy/khON57gdS3X2DT+g2oU6eOPYYqLPyspXW7tjh6/iyCyhdIOlziHiyv+cLVOQMO7t2HfPny2WOownLnzh18X78uXqd2QFj5goCTjBP4gCC4nPwbHg0bY/GChUiRIoU9hmpIKMQV7L87dumMPcf+iN9/y+X/e/KRw0ZglCf15J+Dr+r5vl5dPGchCC2Z97/6RA5ST+6HNL7+2LF1G6pXr67kUIVl586daNuxQ/z+Wy68J//zHgqno55cSagTV7D/3n35zKf9t1z+vyefssALDZs0xsePH5UYqtD9d+mY/rt0fvMCPLYnzyn15PV+aEQ9+Wf671FjxqB1546f9t9y4T151f968j///FOJoRoemonbmBMnTuAH3n+7ZUu6/5ZLZBRSXnqE3FEpcGjffhQsWBBGJmb996RpU03333L5GAqXi49Qv+a3WOm9wvA9Oe+/m7X0wNlb1xFcpYi8isoUT/6B87kHmDn9V/Tq2dMWwyT+HwpxG6//HjVujPz+W/6dU08ep/8+cv4Mgst/YZtwiSEyCs7XnyB/qnQ4uHe/YXty3n/XqlcH/6RxQhjfx3L6b7n8f0/eosEPWLJwEfXkNoJC3Nb9d+XCQFoL6hM5GLgnt6r/lovBe/L/+u98YEVyKbMR6sltDnXitu6/lQpwA/fkVvffcjFoT/5p/61QgHOoJ7c5NBPXUv8tF4P05Ir033IxSE+uSP8tF+rJbQKFuNb6b/mD0HVPrmj/LRed9+SK9t9yoZ7caijEtdp/G7gnj9d/8/c/USNcdN6T26X/lgv15FZBnbhW+29zevLa+unJpf67fLn/+m81A1yHPbld+2+5UE9uFTQT13r/LRf+UvLLPsgVmVzInjy2/54+FSFlCwDZ0kNzCN6Tq9p/y4V6crOhEJfB6jWr0fPHPur13xb05EcP/4Hy5ctDFFq2bf1vRaVW/21BT375/EW4uGjgbEwGb968QZmK5dXtv83sybu0boe5s73UHo3m0fAjqR0+BAYCjo7SaZ+mcXBAdHInREVHC/dJNvxj1KSlg1oOF46jA6KSOyIw8KNUTYhCVFQUQoJDEJXCSfodNE1yJyB5MrwNeKf2SIRA438x2uDH3n2wbvlKpD51Fw73X0KTREcj+VUfZH/wFmdPnkKVKlUgEvt370X35m3gcuJv4J1Ge/3QcLj8eR//y1MYt67fQJo0aSAK2bNnl8bsniwjnI/fBsIioEm4qN93FSN698Oa5SvVHo0QUJ1i7pKsunxJliPCeG+rlVmjFC4P4J73C+zevgOZM2u48jHB+vXr0a1XDwQXyw3kzwbN4B8I50uP0L93H0yeOAmO/MxMQCIiIvBj/35Yu3UTgqsWBTJq5EDEGBzuPEfqW8+xad161K1bV+0RCQOFuJm8f/8ezTxa4M+/byD4m8Lq97dvA+Fy+i66te+EGb/+imTJNF75yODGjRuoXa8u3mZIgXAukdU+/fd5hdR3XmL1ipVo0qQJ9IC3tzf6DhyAkIoFAdfs6kv5iw+RMzyZJOXd3NzUHY9gUIhbAO9CR48dg9nz5yGkchEgq0orKR75weWqL35fuAht2rSBnnj79q30aUhXH91DMH+1Zsrk9h9EdDRS3HyKrMGQPmmpaNGi0BMXL16UPq7ufZ70iCztqs6Kq6BQuJy6g+plK2Hj2nVCVVRagULcCnbs2IF2nToiuGResEI57dt/X/dFpn9CpE+mcXd3hx7hMm7w0KH4fYU3git8Yd9Tf15RXfZBpaKlsH3zFqRPr8Eljzbg1atXqP9DI9x+8xwh/MzSngdL3n+fugPPocMweuQoXbxQTQ0oxEXryXXUf2u2J9dJ/63Znpz6b5tCIS5ST67D/ltzPbkO+29N9eTUf9scCnFRenId99+a6Ml13n9roien/lsRKMS13pMbpP9WtSc3SP+tak9O/bdiUIhruSc3YP9t957cYP233Xty6r8Vh0Jcqz25gftvu/XkBu6/7dKTU/9tFyjEtdiTU/+tbE9O/bfyPTn133aDQlxLPTn138r35NR/K9+TU/9tVyjEtdKTU/+tfE9O/beyPTn136pAIa6Fnpz6b+V7cuq/le3Jqf9WDQpxtXvywBDqv5XsycvkR4r7L6n/VrInL5RDmoRQ/60SPMQJ+7N9+3bmki4ty547F7t27Zraw9EdkZGRbMDAgcwxmROrUes7FhAQoPaQdIefnx8rV6kic0qenP0ycQKLjo5We0iGhGbiKsuiVKlSkVxTkIcPH6JAgQLUfyvYkz979kzax4Q6UIgTBEEIDE1PCIIgBEZXIf769Wve8as9DF2fOnNpSCjHx48fERwcrPYwdM2bN2+k1xboBd2E+JYtW6QPg50zd67aQ9El/ODYtXt35MmXFzdv3lR7OLokICAApUqXxteV/4eQkBC1h6NLTp8+jew5cmDI8GHQC7roxHmoVPrfN9JyMuervjiwew+qVq2q9rB0xbz58/HrnFn42qMRzq3bgauXLiNjxoxqD0tXS0/rNaiPiIypERTwAQUzZceaVavo1Y425Pnz5yhR2h0BxXLC5eYzLJu/EK1atYLoCB/i7969Q3H3Unjpmh74Igfw3B/prz7BX1evIW/evGoPTxecOnUKPzRtgr4rZiNr3tzY8etCOLwOwMF9++Hk5KT28HTByFGjsP3wfvy4+DdERkRgdsd++KnXj/hpwAC1h6YLwsLCUP6rSvg7eSiiSuUH3nyAy7Fb+PPUaZQqVQoiI3SdwnutH5o1hX+GFP8GOCd3ZnwskAV1GtRHaGio2kMUHr58rFmLFmj5y1ApwDkNB/bAi/dvpeAhrGfr1q1YusIbnX8dB6fkyZDSxRldZ03AL5Mm4vjx42oPT3gYY+jSvTseBr1FVMl8/16ZJR2Cy7qidv16wnseoUN8hKcnLj+8g/DS+eNdH1UsD3xCAtCpaxcSnVbAD4ING/+Ab1o1QrH/VYy93imZE9pNHYUVa1Zj8+bNqo5RdG7fvo1uPXugy8zxSJv5v3oqS56caDdxBFq0aoknT56oOkbRmT9/PnYc2oeQrwvFfwfGgjnxNksq6dW9IotOR5FF5vylSxD8VSEg4Qs5HBwQUqEgdh85RKLTQvjBr0evXnDKnB41O3/aG6bNlAEdZ4yVbkOi03KR2aBRIzT8qQfyF//yk+8X/aYCqrZtJh1ISXRaLjKHjfL89w27kn/6nkThZQrgqu99oUWnkJ14rMis+iWQOV3iN/wQDOcjN0l0WiEy+62cI53eJ8bFPYdxctkGEp1WiMzmnv0TvR3/81w1YhKJTmtEZtl8QN6sid+Qv4Po/mvCik7hQvwTkWkKEp1Wi0xTkOi0TmTyHjwpwoJDSHRaKzJNIbDoFKpO4b1V4+bN4otMU5DotFpkmkISnQH+JDotFJmmiBWdEyfgxIkTdhmj7kSmKQQWnY6iicxLD/7+RGSagkSndSLTFJLonDaaRKcVItMUkuic5InmLT1IdFoqMk0hqOh01IXINEUc0ek1Z45SQ9S1yDQFiU7rRaYpSHRaLzJNESM6Bw8bClEQohOXLTJNQaLTapFpCkl0Ll2Pq5evkOhMIDLr1q+HyExpkhSZpiDRaUJkupdCQLn8SYtMUwgmOjUf4maLTFOQ6LRaZJqCRKd1ItMUJDptIDJ1JDoddScyTUGi02qRaQoSndaJTFOQ6LSByNSR6HTUo8g0BYlO60SmKUh0Wi8yTUGi0wYiUyei01GXItMUJDpjRWayLBksEpmmINH5n8hsNLCnRSLTFCQ6Y0TmSItFpjzR+UDTolOTnbjNRKYpDCw6bSUyTWFU0RkrMjOnRfMR/RTbjpFFp81EpuCiU3MhzkUmf2Be2EpkmsKAotPWItMURhSdthSZckXnwN59MaC/5StfDC0yBRadjloUmW/SJ7dPgBtQdCohMk3R8KfuhhKdthaZskTnzF8wfsIvhhCdiohMgUWnoyZFZhlXu27XKKJTKZFpCh5kRhGdSolMU2TJm8swolMxkSmo6HQ0hMg0hQFEp9Ii0xRGEJ1Ki0xTGEF0Ki0yRRSdmujE7SYyDSw67SUyjSo67SUyjSw67SYyBROdmpiJ/75sGSKypFU3wDnpXBCWNxNmzvGC3pg9xwtVO7RQNcA55erWRAQY9u/fDz3x6NEjHD1yFLW6tVF1HDy0a/dsj43r10tnBnqCV3EhqZyAPFnUHUiqFAh2y4ZpM36DFtBEiI8dPRqZwhjg46fuQF6+RZoX7zH7txnQG0sWLsJer6Xwf67uPt431xturgXg4eEBPeHm5ob+/ftjzcgpiIqMVG0c4aFhWDNyMiZPmaKrMx1Oz5494ZohKxxvP1V3IG8D4XznBZYtXgItoIkQz5w5Mw7u3Q+Xa0+kHaQKH0PgfO4Btm7aDFdX+4pVe1CzZk2MGuGJlYN/RniIOqtwrhw4httHzkj7OFky+/eZSjN92jRkdUmL3V6/q1albJowE+VKlMLQIUOgN5ydnXFo336kufdKWhqsCmERcDl1B4vmzkfZsmWhBTQR4hx3d3f8vnARXM7cA0Ij7LvxyCi4nL2Pn0ePxnfffQe9MmjgQFQqXRabJ8yy+yqc5/ceYse0+di9cyeyZFH5dFgh+Bp4foC6c/wcLu49bPftn1i3DQE+z7DCe7muuvC45MuXDzu3boPzn/eAwGD7bjyaweXMXXRs2QYdOnSAVtBMiHPatGmDru07wOX8fW6K7LNRxpDq0iPUqVwNQ4doxzgrAf/D9l66DEHPXuHE2q12227Q+w9YOXg85s+di9KlS0PPZMqUSTpQbf91AZ7euW+37d67eBVHvNdjz85dcHFxgZ6pXr06Joz9WZoRI9J+S/2SX3+MEjnzY87s2dASmlidEpfIyEhUqVEdlwP9EFFa+VrD8c4zFPzggGuXLuv+yR+Dr68vylWsgNYTh6NwJWVPCaOjorC032h8V/EbzJo5E0Zhw4YNGDhsKAatW4A0GdIruq23L19hZrsfsWHNWtSqVQtGgMeWR+tW2HPtHEL/V0T59eI+fsj692vcun4DWbOquDJG6zNxDu9K9+zYiUxvgpUXnVxk3nsl9WxGCXBO/vz5sWn9BqwdNVVx0clFZqYUzvh1+nQYCb70rI1HS6wcNkFR0clFpvfAsRg+ZKhhAjzmrHLV8hXInyyN8qKTi8xLj3Bgz17NBbgmQ9xuolPnIlMLovPKweO6Fplqi05JZE6cpVuRqQnRGaY9kSlEiMeIziULFiojOg0iMtUUnVxk7pw2T9ciU23RKYnMR091LTJVFZ3R2hSZwoQ4p23btujSrr1tRaeBRKZaojNGZM6bo3+RqZboNJLIVEt0JteoyNS82FRadBpRZNpTdBpVZNpTdBpRZNpddPpoV2QKNRP/VHS+su7ODCoy7Sk6981bbkiRaS/RKYnMQeMMJzLtKjrfaltkChfi8UWnr+Wi0+Ai0x6iUxKZf5w2rMhUWnTGisziJQ0pMu0iOsO0LzKFDHGrRSeJTPNE58TZZotOEplmis59f5j98yQyFRad0QwuZ+9pXmQKG+IWi04SmeaLzqd+ZolOEpkWiM7p880SnSQyzRedqU/dNUt0SiIzRz7Ni0zhxGZiovNKoB/CZYhOEpmWic7yFSui1cRhJkUniUzL2LhxI34aOkSW6CSRaT6MMbRs01oSnSHfFDYtOgUSmULPxOOKzoxyRCeJTMtF5wZ5opNEpmW0bNkSbVu2Mik6SWRafla50ns58jmlNi063wbCRSCRKXyIx4jOA3v2JS06SWRaRY0aNUyKThKZ1jFt6tQkRWeMyCxbrASJTKVEZ9i/InOhQCJTFyHO4d2rJDrP3pMeiHiQyFRcdL64/4hEpsKi8+S67Xj38AmJTKVEZ7SYIlM3IR4rOtu2h8u5B9IDIkEiU3HRyUXmChKZiorOexev4Q/vddi7azdSp06t6hj1KjqTCyoyhRebpkQniUxlRadbeXcSmQqLTl5fkchUWHQ+fiWsyNRdiHP8/f1R3L0kXqVPjnQvP+D6lavUg9uYY8eOoVlLDxStUgnJ3gXhyKHD1IPbmCFDh+LAmRMICfyInh06Y9hQOpO0JSEhIShToTzusyCkeuaPU8dOCNuD66ZOSfiKzpyB0SQyFRSdY0eNRuCjZyQyFRSdBbLlxDflKpDIVFB05g1zElpk6nImThAEYVR0MRMnCIIwKhTiBEEQAkMhrrIsvHHjhtrD0C185dK6devw7t07tYeiW/z8/LB582ZE2+pDWwizoRBXgaioKIzw9IRH2zaoVqMGVq1erfaQdMebN29Qs9Z3GDpmFMqUK4ebN2+qPSTdce7cOZQuWxb9hw1BoyaNERio0OfhEklCIW5nAgICUKd+Pew6eghD1y9C36UzMGLMKPQfMECaORLWc/XqVSm4UxfMg5HbvFG9e2tUqV5NmjEStmHJ70tQt0F9NBjRB4M2LcL7FEDZCuVx7949tYdmOGh1ih25desWGjRqhILflEXjQb3hlPzfZXrB7wOxasREpHNMjm1btgr/4gM1Wbt2Lfr2749mnv1Qrk7N2Ouf3L4H78Hj0Klte0yeNEl6yTthPuHh4fixX1/sP3IY7WeMQzbXvLHf+3PLHvyxaLX0xlMNGzZUdZxGgkLcTmzZsgXde/VEo0E98VWjOp99S9e9871x48AJ7NqxQzdrWO0FP4sZPGQINu/Yhi4zxyN34YKf3CbwbQBWDvsFOdNnwuYNG5ExY0ZVxioqL1++xA9NmyDCOTk8JgxFqjSfvh3A4+u3sXb4RPTt3QdjR4+BoyOd7CsNhbgd+u9Ro0dj+eqV6DJjPPIVL5Lk7a8cOo4tk7zgNXs2OrRvb7dxit5/N23RHO8jw9B+6iikTp8u0dvyt33dOXMx7p++iD27dqFEiRJ2HavI/Xfjpk1RtnFtfNu9TZLh/P71G6wdNglF8rli/Zq1SJs2rV3HajQoxBXuv1u0aonn796g0/SxSJtZ3syPv0PgskHj0LxRY8ycMYNeHWmi/27UuDFKfl8V9ft2gaPMmuT87oPYOWMRlixchBYtWig+TtH77+Genmg2diCKV/ta1s9Ehodj1/SF8PvrrvQmXoULF1Z8nEaFQlzh/tvtm3L4YVCv2P5bLlJP7jkJaR2SYTv15J9lzdq16Ne/P5qP7I+ytWuY/fNSTz5oHDq1o57c3P5bLlJPvnA1Vi6nnlwpKMQV7L9/GNwLlRrWtvh+qCe3vP+Wi9STD5+AnOkyUk/+uf7bJQU8fhny2f5bLtSTKwuFuIr9t1yoJ7es/5YL78l3zVqCe6cuUE9uZv8tlw//+GPtsIkonJd6cltDIW7j/vtFgD868v47Uwab3j/15Jb333I5v/sQds5YaOiePLb/HjcIxat+ZdP7joyIwK7pC+B3g3pyW0IhroH+Wy5G7smt7b/lYtSe3Bb9t1zObd2LwwtWUU9uIyjENdJ/y8VoPbkt+2+5GK0nt2X/LRfqyW0HhbjG+m9zevKtk+dg9qxZuu3Jlei/5WKUnlyJ/lsu1JPbBgpxDfbfcnnxwAfLBo7VZU8e23/Xrob6P3a2ef8tFz335Er233Khntx6KMQ12n+b05OvHjkJaaCfnpz33/wNwZrx/vv76moPR3c9uT37b7lQT245FOIa7r/N6skXLMeN/ceF7snj9t9dZ/2CXIW+gFbQS0+uRv8tF+rJLYNCXID+Wy5XD5+Q1pOL2JPH7b87TB0Nl/Ta60dF78nV7L/lQj25+VCIy2Dk6NFYtXEd+i+brVr/bU5PPqtDP6xasQJNmzaFKJQqUxoZCuZDyzEDVeu/5XJy007snLkIz548RaZMmSACPj4+KPLll2gzaQTca1WFluE9+TrPKciAZDh2+Ijaw9E82jsUa5BGDRogIigEZ7fsgZaPeeGhYTjivQGuBVxRoUIFiETXzl1w8+SfuH/pOrTM6yfPcGbDTnh4tBRqlpg9e3bUrV8Pp9dsRcCrN9Ayt0+dh8+Vv9CpfUe1hyIENBOXyYsXL6SPoHJInxptJgxHqtQu0BL+L/zgPXAcKpRyx/Jl3nBx0db45H7mqEfrVqjeoQVqtG8BBwcHaIlbp85h3djpmDB+PPr07qO58ZmC/6lPmjwJs+fOReupnviiTEloCf45nYcXrcKNvcewc/t24SYiakEhbgZhYWHo1acPjpw6jq6zJiBb/jzQAncvXMFqz8nwHDYcgwcNEi5c4uLr64sGPzRC2nw50XLMIKRwTqWJ8Du0dC3ObtqFbZu3oHLlyhCZffv2oV3HDvi2Rzt83aKBJp4vIR8+YsPoaUgT7SitsuJnDoQ8KMQtYOGihVJP3uaX4Sih0vpaDn/ojq/dgqPLN2LT+g2oWfO/jyMTmZCQEHTp1hXnr15Bl1njkTl3TtXGEhocjHVjpiP6XSB2bd+B3LlzQw88ePAA9Rs1RJaiBdF4xI9IliKFamPxe+iL1YPHo3H9hvCaNQvJkydXbSwiQp24BfTu1Rt7du7ClomzcHDJGlV6ct5/rxk1Fbf3n8Cl8xd0E+AcZ2dnrFuzFn2798TM9n1x9/wV1frvWe36onhuV5w9dVo3Ac5xc3OTnjdZWHIs7j5UtZ78xtHTWNx9CCaO/RkL5s2jALcAmokL2JProf/Wek8uev+t9Z6c+m/bQSEuWE+up/5biz253vpvLfbk1H/bFgpxQXpyvfbfWurJ9dp/a6knp/7b9lAnLkBPruf+Wys9uZ77b6305NR/KwPNxDXekxup/1arJzdK/61WT079t7JQiGu4Jzdi/23Pntyo/bc9e3Lqv5WHQlyDPbnR+2979ORG77/t0ZNT/20fqBPXWE9O/bfyPTn138r35NR/2w+aiWuoJ6f+W/menPpvZXty6r/tD4W4Rnpy6r+V7cmp/1a+J6f+Wx0oxFXuyan/Vr4np/5b+Z6c+m/1oBBXgTNnzkifYvNVs/r4x/c5Pvg+l7pzV1dXtYemC/hTetbs2Zg4ZTIa/tQdx1ZsQs3KVbF44UKkTJlS7eHpgsDAQGlGfuvRfZRrXAcH53pj5m8z0KVzZ7WHZjgoxFXsyVu1bYO8efLg98VLqP9WqCfnn4k6cMAA6r8V7MnXrl+PVctXUP+tEhTiBEEQAkNLDAmCIASGQpwgCEJgdBPikZGRWLFiBYKCgtQeim558uQJtm3bpvYwdM3pM6dx6fIltYehWxhjWL9+PV6/fg29oJsQHzZsGH766Sd069ZN059ILyrBwcFo1KgRunTpgtWrV6s9HF1y7do1NGncBPXr1cfDhw/VHo4umT17Nnr37g0PDw9ERERAD+gixNesWYNdu3bh77//xv379zFjxgy1h6Qr+EGRHxxLubvj5KlTGDx4MK5cUecj0/SKv78/mjZtinnz52HM2DFo0qQJnVXamKNHj2L69Om4evUqUqdOjSFDhkAXMMG5fPkyy5IlC/vrr7+kfz958oTlyJGDHTp0SO2h6YZff/2VlStXjn0MCmJR0dFs0+bNLH/+/Oz169dqD00XREREsG+//ZYNHTaURbNoFhUdxTp17sQ8PDxYdHS02sPTBT4+Pix79uzs6NGj0r/fvXvHChUqxFauXMlER+gQ5yHCw2Tz5s3xrj9+/Lj0gD169Ei1sekFfjDkB0Wfx4+lAI+5eHp6sho1akgBRFjHoMGD2Pfff88iIiOkEOdfwSHBrEKFCmzK1ClqD094goKCWOnSpdmsWbPiXX/r1i1pAnjx4kUmMsKGOA8PHiIjRoz47Pe9vLxYqVKl2MePH+0+Nr3AD4L8YHjk6NF4Ac4v4RERrE7dumzAgAFqD1No1qxdw7744gv2xv9NbIDHfD15+oTlzJmT7T+wX+1hCkt0dDRr06YNa9u27WfParZu3cry5cvHXr16xURF2BAfOHAgq1OnDouMjPzs9/kD1qFDB9aqVSs6JbVw9uLu7i7NXhIGeMzljb8/c3NzY6tWrVJ7uEJy9epVaSZ47fq1TwI85uvEyRMsW7Zs7MGDB2oPV0hmzpzJypQpIz2fE2PUqFGsWrVqLDw8nImIkCG+evVqVrBgQfb27dskbxccHCx1ubzTJeTDD3qtW7dm7Tt0YJFRUYmGOL9cv3GDZc2aVXIThHzevHnDChQowDZs3JBogMd8zZ03l5UsWZLOKs3kyJEjUhX4+PHjJG/HJ4L16tVj/fv3ZyICUUXmjRs3ZN2eRKf1ItPUZeOmTSQ6rRCZpr4k0dmJRKc1ItMUIotOoUL8n3/+kcJi06ZNZv0ciU7rRaapC3cTJDotF5mmvmJE59RpU9UevrAi0xSiik5hQpyHQ82aNRMVmaYg0WmdyDR1IdFpvcg09RUjOg8cPKD2ryGsyDSFiKITIonM2rVrJyoyTREjOlu2bEmnpBaKTFMXLjq5qxDxlFQrItPU1/ETx0l0JsGMGTNMikxTcNFZtWpVYUQnRBKZ/v7+Vt0PiU7rRaapCxedPKhIdH5aBbq6usoSmaa+5sydQ6LTCpFpCtFEJ/QmMk1BovNT+EGtbNmyskUmiU5lRaapLxKd1otMOaKTL58V4awSehSZpjh27BiJTitFJolO80RmrVq1zBKZpr5IdH4qMmfOnGnT+71586YQohN6FZmmINFpnciUIzpr16ljeNFpjcg09eX7xNfwojPaSpGpB9EJvYpMUxhddNpCZJLoVF5kmvoyuuicYQORKbrohJ5FpimMKjptKTJJdCovMk19GVV02kpkii46NRfiV65csanINIURRaetRSaJTmVFpqkvI4pOW4tMkUUnjCAyTWEk0amUyCTRqazIlCM6y5cvbwjRqZTIFFV0Qmsic/jw4aps3wiiU0mRSaJTeZFp6ssIolNpkSmi6IRRRKbRRac9RKbRRac9RKbRRac9RKZoolMTIb5x40a7iEy5otPcN84Rgfbt29tFZMoVndevX2d6IiAgwG4iU67oDA0NZXrixIkTdhGZckXnoEGDmBbQxAclP3/+HDly5EDatGlVHUeqVKmQP39+PHv2DHqD7+NCbm5wcHBQdRzZsmWT9jP/YGA9ERoaisDAQLi6uqo9FBQqVAivX79GZGQk9MSrV6+QPn16ZMqUSdVxODk5wc3NTTs5wTRAVFQUq1+/Puvbt6+q45g8eTKrWLEiCwkJYXrj2bNnLFeuXGz3nj2qzcJDw8Kk09CRI0cyPbJ9x3aWJ08e9uLlC9Vm4fcf3JfqlJMnTzI90r17d9akSRMpM9Ri1apVsj6Uxl5oIsTjvin78uXLVdn+vn37pJDjYadXTp8+LX0Kz527d1UJcX6Q5qehankPezBm7BhWuXJlFhoWavcA/xD4gZUoUUL6JCC9wiuir7/+mk2YMEHV93L666+/mFbQTIjHfVP2Cxcu2HW79+/fl8Lt1KlTTO8sWLCAFStWjAW8f2/XAF/m7S0dpPnBWs/wGWLDhg1Z7z697RrgfK148+bNWafOnXQp5uPy/Plzljt3brZnzx67bpe/zoEvgd68eTPTEpoKcc62bdtY3rx5mZ+fn1229+HDB1a8eHEp3IwA/wPv2rUra9K0qd0k5/kLF6SDMz9IGwEuOYsUKcKWLltqtxCfMnWK9IZYeqwCP8eZM2ekidfdu3ftsj2+EqV69erM09OTaQ3NhThn9OjRdlnCwwOtWbNmUqjpffaS8JS0UqVKbOLEiYoH+Es/P2ld7ZYtW5iR+Pvvv6UD17nz5xQP8P0H9kvrw58+fcqMxOLFi1nRokWliZjS/PTTT6xOnTqarAI1GeL2Ep16FplaEJ16F5laEJ16F5laEJ2rNCYyhQhxe4hOI4hMtUWnEUSmmqLTCCJTbdF5WYMiU5gQV1J0GklkqiU6vZcvN4TIVEt0cpHZokULQ4hMtUTna42KTKFCXAnRaTSRqYbo5CKTHySNIjLVEJ1GE5n2Fp3hGhaZwoW4LUWnUUWmXNHJT0lJZCorOv8896fVAW5UkSlXdL5//97q++Jv1KZVkSlkiNtKdBpZZNpDdBpdZNpDdBpdZMoRnY0bN7ZKdGpdZAoZ4rYQnSQylRedJDKVFZ0kMpUXnZcFEJnChrg1opNEpvKik0SmsqKTRKbyovO1ICJT6BC3RHSSyFRedJLIVF50kshUVnSGCyQyhQ9xc0QniUzLT0m/+uorWaIzRmTyTzwhzBOdPGTkiE4SmcqLzgEDBrC6desKWQUKGeJyRScXmXzVhd7eHN9ep6SmRGeMyOSfdEIoIzpJZFpHjx49TIpO0USmLkJcjugkkam86OzXrx+JTAVFJ4lM5UXnZQFFpm5CPCnRSSJTedG5fMUKEpkKik4uMj08PFinTiQylRKdrwUVmboK8c+JThKZyotOEpnKi04SmcqKznCBRabuQjyu6AwLCyORqbDoJJGpvOgkkam86BwgsMhMiAP/HwhOdHQ0GjVqBF9fX6ROnRonTpxAypQp1R6Wrnjx4gUqVKiADBkyoEmTJpg4caLaQ9IdO3buQN8f+yIiIgJbtmxBlSpV1B6S7ujZsyfOnj2LkJAQXLx4ERkzZoTo6CLEOQEBARg7diyGDx+O3Llzqz0cXXLu3Dns3bsXP//8s/SJ34Tt+X3p70iTJg1at2qt9lB0SVhYGEaPHo2OHTuiRIkS0AO6CXGCIAgj4qj2AAiCIAjLoRAnCIIQGApxlQgNDcXgIUMwa/ZsvkJI7eHoEh8fH7Rp0wYnT55Ueyi6hTsS3i/7+fmpPRTDQiGuAs+ePUO1atXw2McHa9eskYImKChI7WHpij/++ANff/01smfPjhYtWmDevHl0sLTxirAJEyZIqz3Spk0rrVw6f/682sMyJmqvcTQa/D0w+BrgyVOmSC+cCQoOZh06dGClSpVijx49Unt4wsNfH/Dbb7+xHDlysKNHj0rXPXjwgJUsWVJ69SO9eMZ6+Avq+PuR8Jez81dDcnbs2CGtc1+2bJnawzMcFOJ2DJd58+dLb2a0b/9+xl+KFHPhYT7by0v63sFDh9QeqrAEBQWx1q1bs7Jly7LHjx/H+97Hjx+ll7GXL1+ePXnyRLUxig5/xSN/wQx/Y6mEbyzHX7DEX3nau3dv6YV3hH2gELcDfPbXqXNn6c2M7t2/Hy/A416OHT8uzSCnTZ9Orzg1E34W4+7uztq1a8eCg4M/exu+T6dNmyadCZ04ccLuYxSd3bt3S7Nt/srHpN5CgL8XDH9Tr5cvX9p1fEaFQlxh+Eun+ed6Nm/enH0IDEw0wGMuj319Wbly5VirVq2k2SNhmsOHD7Ps2bOz2bNnyzr4HTx4UDrrmTt3Lh0sZb5J1y+//CK9idTZs2dl3X7cuHHS2+yeO3fOLmM0MhTiduy/TQV4zIV6csv7b7lQT255/y0X6sntA4W4nftvuRfqyS3vv+VCPbnl/bdcqCdXHgpxlfpvuRfqyS3rv+VCPbnl/bdcqCdXFgpxFftvuRfqyT/tv728vGx6UKOe3LL+25z7pZ5cGSjEVe6/zenJO3bsaNiePG7/fezYMUW2YfSe3Jr+Wy7Uk9seCnEN9N/m9ORec+ZIM1Ej9eRx+29fX19Ft2XUntwW/bdcqCe3LRTiGuq/qSdPvP9u37691f23XIzWk9uy/5YL9eS2g0JcY/233IvvkyfSbFHPPblS/bdc9N6TK9V/m7N96smth0Jcg/230Xtye/TfRu/J7dF/y4V6cuugENdo/23Untye/bdRe3J79t9yoZ7ccijENd5/G6knV6P/NlpPrkb/LRfqyS2DQlyA/tsIPbna/bfee3K1+2+5UE9uPhTiMujbr580Aw8NC1M9qE1dnj1/ztKnT8+8ly9nIvHFF1+wwYMHMxHYuHEj/3QJ9urVKyYKt2/flsZ85MgRpnX4wZGfjfGJE2EaCnEZvHv3jtWvX59VqVKFvfTzUz2oE7tcv3FDCsOBgwaxiIgIJhJXr15lBQoUYEOHDmWRkZFMq6xcuZJlyZKFbd26lYkGF4d87FwkahXe0Xfr1o0VK1aM3bt3T+3hCAGFuBmneaPHjGF58+Zl5y9cUD2wE142bNwo/YGuWbuWicqbN2/Yt99+y2rVqsX8/f2ZlggPD2f9+vVjbm5u7ObNm0xUzp8/L1UVY8eOlZ7TWuLZs2esUqVKrGnTptLqGUIeFOJmsnXbNikseV2hdnDzS0RkJBs2fDhzdXVlV65cYaLDzyCGDBkinVFcv36daQFem1SrVo3Vq1dPOisTHS4NuTzkEpHLRC1w+vRplitXLjZp0iShXIMWoBC3gFu3brFChQqxH/v2ZWHh4aoF+Bt/f1a7dm1Ws2ZN9s8//zA9sW7dOulguWHDBlXHcfHiRZYvXz42atQoTdc85sKX8fXp00da1seX96kFD+yFCxdKK2b27t2r2jhEhkJc0J5c5P5blJ5c5P5bhJ6c+m/bQCEuYE+uh/5byz25XvpvLffk1H/bDgpxgXpyvfXf5vbkfFZ+7do1Rbelt/5biz059d+2hUJckJ6c99/ff/+9Lvtvc3vy9evXK3L/eu2/tdKTU/+tDBTiAvTk165f133/bU5Pzs9EeE9uy31hhP5bzZ6c+m/loBDXeE9upP7b3J78u+++k/7bGozWf6vRk1P/rSwU4hrtyXn/PXTYMMP13/bsyY3af9uzJ6f+W3koxDXYk1P/rXxPbvT+W+menPpv+0EhrrGenPpv5Xty6r+V7cmp/7YvFOIa6smp/1a2J6f+W/menPpv+0MhroGenPpv5Xty6r+V78mp/1YHCnGVe3Lqv5Xvyan/VrYnp/5bXRz4/4CwKwEBAWjXrp30/y9fvsQPjRtj+rRpSJYsmdpD0w3Xrl1DkyZNUKFCBRw7dgyLFy9G06ZN1R6WrvD29sbw4cNRuXJl3Lt3Dzt27EChQoXUHpbhoBBXiejoaMz28kLu3LnR0sND7eHoEn9/f0ydOhWdOnVC8eLF1R6OLrlw4YIU3p6enkibNq3awzEkFOIEQRAC46j2AAiCIAjLoRAnCIIQGApxgiAIgaEQJwiCEBgKcYIgCIGhECcIghAYCnGCIAiBoRAnCIIQGApxgiAIgaEQJwiCEBgKcYIgCIGhECcIghAYCnGCIAiBoRAnCIIQGApxgiAIgaEQJwiCEBgKcYIgCIGhECcIghAYCnGCIAiBoRAnCIIQGApxgiAIgaEQJwiCEBgKcYIgCIGhECcIghAYCnGCIAiBoRAnCIIQGApxgiAIgaEQJwiCEBgKcYIgCIGhECcIghAYCnGCIAiBoRAnCIKAuPwftVeIauPFBqMAAAAASUVORK5CYII=", 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", 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", 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" ] @@ -1222,7 +1263,7 @@ " for step in trotter_steps:\n", " szz[(he,step)] = bitstring_to_expectation_value(np.array(zz[(he,step)]))*bitstring_to_expectation_value(np.array(z0[he]))\n", " lgt.plot_qubit_polarization_values(\n", - " grid = lgt.LGTGrid(origin_qubit = cirq.GridQubit(0,0),orientation_vector = (1,1), rows = grid.cols, cols = grid.rows, flip_rowcol = False),\n", + " grid = LGTGrid(origin_qubit = cirq.GridQubit(0,0),orientation_vector = (1,1), rows = grid.cols, cols = grid.rows, flip_rowcol = False),\n", " qubit_polarization_data=[szz[(he,step)][i] for i in map],\n", " ancilla_states_data=np.zeros(18),\n", " plot_physical_qubits=True,\n", @@ -1287,7 +1328,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 35, "id": "a2732a58", "metadata": {}, "outputs": [], @@ -1322,7 +1363,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 36, "id": "9e3fc15a", "metadata": {}, "outputs": [], @@ -1349,13 +1390,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 37, "id": "7cb5f32f", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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", 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ZWfT6669rw+ejoqKoa9eu9Nprr8n6n3/+OZ0+fZrGjBlzx/t3LTnF6PykpCtk4XEvAACgSixWuFiA3NzcJNR906ZN8p3rOCiCXYCaiL7777+f5s6dK321OJIvPDxchErD1q1bxQXo5+dH8+bNo23bttXLGDSlpWVG5xcVFcq+saACAACwoXB4c1HbcHgXV3cqLiowON/B0Ym8PD3ETTljxgxavHixuC8BAADUDHIVNgDOLi7k7h9qsLi5e0i4/LRp02jlypXUpk0b+uc//0klJSWNvesAAKBqYHHV0eLq2msQhTz4osH5qbvfolPffyvfz5w5Qy+88IJ0SG7fvj2988474kYEAACgH1hcjUBhyR+BJJ06daJ9+/bRzp07xeJ64IEHaPjw4fT777836j4CAIAagXA1EBk5RfTurtOUV1ThGrSzs6MRI0aI9bV8+XI6evSoCBpbYjdv3iRrhNNicWSnocLzAQCgtkC4GggvVyfaF3uFZqw5QqcTM7T1nO3+xRdflPavp556iv7xj39I+9eqVav0hvurGU1aLEPFWK5HAAAwBISrjoSGBEg7lqHSLqIpvfVkL7K3s6O5G36g1V+fpWKdEPrg4GBJb3Ly5EmxvJ599lnJYs9JggEAAJD1pnxqLHbv2GbScqti+tGH+8/RZz9cphMX0uilkdEUFeqrnc8dpL/99lv67LPPxBJj99nDDz8s7sTWrVuTWtF0GgcAgPoGFlcD4+bsSM892JneePweae+a9dF3tOlQPJWWlWuX4fYvzuZx7tw5GZ7l66+/lrRU3LG6aq5FS4aHklm/fj099thj0sn7ypUrRpfn8dPmzJlDX375paqOEwDQuCAcvo7h8HUhp6CEVu49QwfOJFNUUx+xvloEVU/4m5KSQq+88oqMQcYuRR4Ak9vDHBwcyJLgNrnvv/+e9u7dS3v27KFffvlF6nk0ag7353oWM0NwNpTy8nIZsZqP7e6775YMKIMHD6bevXvLqNXAfGCMOaCWZzKEy4zCpeHI2RR6f/evVFBcRlMGt6WHe0ZIW1hVeH9mz55Nx44dk/av9957j/r370+NybVr10SQuLBleOvWLRGdPn36iFhxqD+PecZWJEcOGhuzjINSOHcki9+BAwek/PjjjyKIzs7O1KtXLxExLvfcc4/UWROWJhSmXC8enBUAcwDhsjDhYjJzC+m9//1Kx8/foC7h/jRnRDQ18a1uYfDl+c9//iNuQ3a9jR07Vtq/eNRnc1BcXEzfffedWFQsViw0TFhYmFao+AFcddyzuj4IeQw17iqgETIOXuFzwNZX3759tUJ21113WZwFqnahsLT9sTRhtzSGWPn5gXBZoHAxfOr3xV6lf39VkYh32tD2NKxrc7FWqpKfn09vvfUW/e1vf5PAB24bmj9/viQcrm/4x6Bx/3GUI+dbdHJyEuHQiBVHQurbz/r+YXEft0OHDmmFTDN6NQvlgAEDtELGbYL29upqsq2LUHAH9ry8PLkf9JU7mcduXXbdGoK7cvA59/X1lfOvWwzVeXt71/kFw9KE1NKIsvLzA+GyUOHScD0rn97+IpZOJ2ZSzzbBNPvPncnf01XvslevXpUs95s3b6amTZvS0qVLaeLEiXf00OY2piNHjmjFSpPRnoWFRYrF6r777tM7AKe5SU1NlShMLixkFy5ckHoOBhk4cKBWyPhHW1VYG/MNlX9mPOxOenq6tjzzzDNyPIZg12izZs0qCUxd+vqx4LDFqikeHh6VpjVl+/bt4vo1BC/DLyy8DBc+HlMiR/nlyhSRq1rH0bWXL182uF1btwCjIFygMYWLKVcU2vFjAn184DdydXKg5x/sTP06NDW4/A8//ECzZs2SNiEOauDLaOyhU/VHxQ8EFikuLAD8UOQHJbehacSK8yrWZFU1Nvwg0YgYW4fcBqdxZWpEjAM+eLib+vyhFxQUiPjw8OK6YqQ7XXUeW8q1gQWGH976RMaQ+FSdxwEwplo8dTk/7ErWCJmuoJlSp6nnbdQFFrfnnntORl3g4u/vX+mTxbA+3cnmEAp+McnIyKjxXkpLS6Nff/3V6IsMn4N///vf1LZtW+law/eCmoBwqUC4NCSl5dDynbEUn3KLBnUKpZn3dyIvNye9y7JbZ8uWLfTyyy9TcnKy0e3yjbtixQqtWGl+YBERESJUXNhiaQjXo7ngW5ktMI1bkQWNf+BMZGSk/OCNhd2zuG3YsMEkMWKh1wcLPT8wAgMDpbAlqO87l3HjxlFCQgLZehsXW236RG7mzJl048YNg+uxl4GvuaFHGF8LFi9Dwmaojj0L+l7Yant+eL/4fqvNy42x9G/sdtW9jw4fPlxpdHdj8PHwyyuLWNXCL3mW6GaHcKlIuBju47X16AXacvQC+Xo4018eiqYerQwPfsntE3xTZmZmGr1x+VK7urqKQGnaqvS51KwFPl5uE9MI2a5du4y24eiDhdyY+FSd5gFLG9LCaUjUuD+//fabCB3f+2ypaD51v+urM/YC4+joKEJWVeB27Ngh/8vYvcLeD11BMmQRsXfD2L1UdR6XqlG1UTWcn1atWtF///tfSeatW/gachCUBrbM+VxWFTTePotlY7lSjT2TkTnDAnF0sKcnBkRRz6gQ+vuOU/TXLT/S8O4t6Jkh7aVDc1XYNcQ/LmPCxTfgJ598Io3rttI/igWZ22S4PP/88zX+0Ln/2caNG7UPDT6nLPS2Aj9Y7mR+Y8CWgkZkapNphoNc2LqpSeD4kzvKc3SrMVe8pq2Y3Z4sGD179jT6osMi19AvjPb29tKNhkvVFzruK1pV0FgkeIR43Zc7/k3os9I4qpkFXl9uUnMA4bJg2jT1oX8905fWffu7pIw6eSldOi13bO5f621xR2a2sIBh2EVkzoz1liYUag6dri0cJcu/CS6mUtOLDz/MuSuHpWNnZ0ehoaFSuP23qvhevHixmqixoOm+GPP5Y4HWFTNu9zUXEC4Lx9nRgWL+1IHujQqht76IpRfXf09je7WiiQPayDygXmxJKKxB2G3h/Li4uFCHDh2kVIUt0KqCxmX37t1mH9kdwqUSuoQH0L9j+kuW+U+/u0g/Xbgh1lerJtU7/gJgDUDYLev8BAQESCo2LrpwOx67UzkiuaYgsfoCwqUi3F0c6YU/d6HebUMk68bza49JW9i43pGNvWuqAG/w4E7A/aMfbutityG3tZsLixUu9qdOnTpVhrznxkzuaPv4449XW47bbbjzrAZuHGV/K/dx0PiduZOnJtKL3xZ4m2qmZ5sQWj3Nj/6554y0fx2PT6WQpmFG17HVH5UueIMHdwLuH8vBYoWL+3Bw+CeLzqlTp2j48OGSvJVT++jCfZJ00WRP0IXDoK1tmHhvd2f665i7qE/bZBGwS1lE7h7B5OHKl7R6tJKz5x9jgAEAgJqxSOHifkmcfubMmTMSNso58kaMGCGhysuWLTO4HnfmZOuLhwOxFQZ2CqXO4f7Udf0iihy7wOByybvfMut+AQBsixZmdKVapHBxBzn2m3L4qQa2tjjZqjE460G/fv2qZU6fMGGC9E3g/gycWZ23ZU0EeLlSgJdLY+8GAMCG2W9GV6rl5fm4PbRF1R7bnJespvQmLFyTJ0+uVMfJaNkS46gX7rMwbNgwvb3fuac799TWlDVr1pC6sM7sFwAA22HNmjXaZ7AmXZtqLC52D1ZNycLTxrKTc8c/HpaBx6vShQc41MDDgPDQ8uxOfOihhyotxz3aLSXlU0Ml8QUAAEsmJiZGCsPipSqLi12E3DdAt5d6bGxstcAMXViQRo8eXWOSWE3OPluDh075z7ELVFxauwzlAABgaVikcHF/ABahhQsXSqAGD12/c+dOGXdKH5xq5NNPP63mJuTcWbwuh8hzBmpu3+LEl7pWmK3g4uhAHx34nZ5ZdYiOnEuxSfEGAFgHFilczMqVK0WQOJfY+PHjadWqVWJxsZuvqlXFWZt5+IKqebe4TWzGjBmSsZtT92sGSuQe4LYGB3AsndCTXJ0c6fVtJ+mlDT/QhRTjSUMBAMASwbAmFjisSV148OGxlJyaYXB+aEgA7d6xjcrKy2nvL1do/cF4ys4vpqFdm9HkQW0NjrgMAACNAYY1sQFYlEzBwd6ehncPpwEdQ2nLkfO088cEOnw2hR7r05pG3xuBxL0AAIvHYl2FoGHxdHWSrPNrpg+gri0D6eNvf6enuf3rLNq/AACWDYTLxgkL8KDFj/agZU/0JHdnR3p9e0X713m0fwEALBQIFxC6RQTSv57pR88/2ImS0nPpuQ+P0ju7Yikjp7Cxdw0AACqBNi6gxcHeTtq/BnL719ELtOP4ZbR/AQAsDlhcoBoerk70zJD2tGbGALHENO1fLGJo/wIANDYQLmCQMH8PWjSuB/3tdvvXG9tP0oto/wIANDIQLlAjXW+3f80a3pmu3G7/evsLtH8BABoHtHEBk9u/HryrBQ3o0JQ+OXqBPte0f/VtTWPQ/gUAMCOwuECt27+evt3+1T0ykNZx+9dKtH8BAMwHhAvUuf1rIbd/TewpYsbtX3PWf4/2LwBAgwNXIbgjOOvGiqf70lenroj1xe1fQ6Kb0VOD2tLEiU+YlD8RAHBn+UnTswvkM9DbzSZ+XxAuUO/tXzt+TJDUUb8npFDrMa8YXC9591tm3U8ArInk1AwKefBF+R5iY78vuApB/bd/Te9P3VsFUXZBSWPvEgDACoFwgXonlNu/HulOgd4YKgWA+iavsITik7OooLjU6HLlVhwsBVchaNBRlwEAtaewuJSuZeZTcmYeXc3Mo2uZeRXfM/LoVn6xLJOZW0QtjWwj5WY+TfjHNxQZ7EUtg70pIthLSrNAT3JyULfNAuECjQYPagmAtQ3WairFpWUiLixKUjI0ApVP6VU69wd4uUgkb6+2IdTM30O+x+z6IxBDH95uTtSlhT9dvpFDJy+lU2l5hQXmaG9HzQM9RcRY0CJD+NOLAr1cyc7OjtQAhAs0GqlZBfT+7l9pQr82FOAFtyJQTzAEmRgMwS9n17MKtNaS1nLKzKO0WwV0W0sEH3dnCvV3l/yg/Mni1CzAQ1zvbs7VH9WONVhNXm7O9PKobvK9pKycrqbniogl3Mihyzey6dekTDpwJrnSGH1ilYWwZVZhobGg6fvf5hB2Y0C4QKPh7uJIe3+5Qvtjr9KIu1vSuD6tyNvNubF3C4A6UVRSRrtOJGotqOSMPErJyqcyHXXie54tpvZhfjSkczOtMLFIebk5Ndi+OTnYU0SItxRdcgpKKCEthy6nZouosaB9HXuVCorLtMs09XOnlkGVBY33maOJ71TY6wqECzQY/IZl7GbtEBlKa58dSBsPxdO27y/RlyeT6JFekTSqZ4TJb3kAWArs3lux5wy5ONrLg50f9H3aN9FaTvzJVlV9ueNCa/h98fyaYLHs3MJfim5Qx42sAq2QyWdqNh0/n6q1EJ0d7Sk8qMIi07ShmTMYxGKfDpmZmTR16lTat28fBQYG0tKlS+nxxx+vttzixYvpjTfeIBcXF23d6dOnKTIyUr6fOnVKtnPu3Dlq3749rV27lrp27WrWY7FVTHULzH24qwjW+oPxUnb+lEDj+7aWvmHIgQgshZoezBxFu2nWYHF725uhrWh3A3Uu5n1v4ucuhdvUdC1KHmSWXY2XbmTL54kLaWKhMdxe15RsXLhmzpxJzs7OlJqaKuIzfPhwio6Opo4dO1Zb9tFHH6VNmzZVqy8uLqaRI0fS7Nmz6dlnn6XVq1fL9Pnz52XbwHJgF8biR3vQuas3ZfyvVV+dpc9+uExPDGhD93VuVs0tAYC5yMwtpO0/XKbrWcYfzBxFG6STucLacHFyoDZNfaTokpVXJFbZI5+Z75lqkTGReXl5tH37dlqyZAl5enpS3759acSIEbRx48ZabefgwYNUWloqwsUW2fPPPy+JYA8cONBg+w7ujPbN/GT8r6UTeopb5e0vTtP01YfpyDkk8QXm5catAnH9TXr/W/rsh0vk5gTrXx++Hi4SUMLBHTYtXPHx8eTo6EhRUVHaOra24uLi9C6/a9cu8vf3F2ts1apV2npevkuXLpV8yjxtaDvAMuDrdVdkIL0/tQ+9OvYuqXt920l6fu0x+vlSGgQMNCgclv7OrliavOJb2nMyie7rHEYfPjuQ/DwR+WopWKSrMDc3l7y9K0e/+Pj4UE5OTrVlx40bRzExMRQSEkLHjx+nMWPGkK+vL40fP162w+uZsp20tDTq0aOHdpq3yQU0roD1bd+UerVtQt/8epU2HjpPr2z+kbqE+9OUwe3EOgOgvuAAhK3HLtLhs8kSaj68ewt6pFcrCvZxq7dgCGCcNWvWSNE8k1UlXOwezM7OrlTH015eXtWW7dChg/Z77969adasWbRt2zYRrtpsJygoiE6cOFGvxwHqB27fGhrdnAZ2DJU34C1HL9Dsj7+je6NCJAs9RzYBUFd+T86iT45coO/jU8nN2YHG3BtJo++NIP8qFpa1ZlqvL+pD2HUNBl1DQhXCxS5CbpviIIo2bdpIXWxsrN7ADH1v6RpXEi//9ttvy7TGXcgRhxz4AdQHRxiOvCeChnZtLiMw//f7S9L+NbhzGE0cECX9TQAwlV8TM2Q0g58vpZOnq6N0hH/4npbk7Y7ArbpgTmG3SOHy8PCg0aNH08KFC+nDDz+UqMKdO3fSd999V21Zru/fv7+4B3/66Sd6//336c0335R5AwcOJAcHB6mbPn06ffDBB1I/ePBgsx8TqD+4j9fj/drQn3uE06fHLkr4/MG4ZAmf5zB6ZOEAhuCXWBYqFqwzSZkSAMRu5z/3aEEeLuYLLgB3hp1ioS3d3I9rypQp9PXXX1NAQAAtW7ZM+nEdOXKEHnjgAWm/YtglyH29ioqKqFmzZhL2ztGDGn755Rd6+umn6ezZs9p+XN26VaRB0YXNUrgK1UlGTiFtPnJesnBwHja2yh7pHYksHKBSH6wffk8VwYpPuSV5+fgeub9bC3JFtKBFYuyZbLHCZW4gXOqHc8BxFo5vzyRLap2xyMJh83C6JQ622Hr0oqQ2YnfyuN6taEiXMHRut3AgXCYA4bIeLqVmSwaOH+JTydfDmR7v25oeuKsFPTz2UZsd6tzW4KSyB369Rv85dlHyBrYI9KTH+rSigZ1CycHeInsBgVo8k/EqCqyOyBBveu3RHnSWs3Ac+I1WfnVWMh9cSEqliFHzbHKoc1uB0xJ9deqKBO5wB+LWTbxpwdi7qE+7JmZJwwTMA4QLWC0dmvnR3yfeK2MRcRqpm3lFFNHYOwUaBB4N+H8/J0qaMB5gka/9cw90ortbB6lmjClgOhAuYNXwQ6t7qyDJxPH1qj8SMQPrILewhHb+mECf/3hZhujoGhFA80Z1k07qECzrBcIFbAJ+iNUUpMFv7fzwa8hxkYDp6A5MWLVNkqME7Z3dKWL4LMovLqWebYKlKwSyqdgGEC4AbsMupnFv76OoUF+x0LpHBlG7MN8aR5oFDYPuwIT62iRPbnqNHmkdRI/1aU2tmlROEQesGwgXALcJ8nal8X3b0MlLabT16AXacuQCuTs7UnTLAOreKpDuigiSIdXhgrIMQnzc6K9jKpIwA9sCwgXAbbhfz6SBUVLYZRibkC5ZFjgjPeexY0J83cQSY4usa8tAq3IrGnPN1Vd3gdKycrqVX0xZecXyeSu/qOIzr5iyZPp2ySuilJt5ei0tDbCEbRcIF7AZapMElAWJM9Nz4a6OyTfzJTqRrbGDZ5Jp98kk4rEt24pbsULI1O5WrMk1p+/cFZeWaYVHIzosQDy4YNV6FqncwlK9/5vPpZebs6Rg4r53nDgZHceBIXBnAJuhrtYCuwbD/D2kPNQjXKwGzij+88UKIfvk6HlJOVXJrRgZRKF+1uVWZDFatPWnPyyjvGIJjNAH95liEZLi4Sz9qfjTx92lQpxu12uWYdGqOsr1trcRBQr0A+ECoJawVdWxub8UY27FJr5uWmtMn1vRHK45hi1GFpjMnCLpy8ZBKFxuymfh7c+aXXOFJWV0I7tQhKaJr7tYRhrh4VFwdYWKR8NFh1/QUEC4ALhD9LsV08Qi0+dWZIuMv9fFNadLWXm5tBVVCFGhjhhVF6ai0vJq63NCYj9PFykhvu41uuZYrFbF9Kvl2QGg/oFwAVCPVHYrtjTsVnRxpMycQqMWDrcfsfBl5lW3jrhk5xeTvkSjbO34e7pI4X5N/rfFyd/Dhfy9XMmPPz1dRHB1XZk737Ms1xxGHAaGgHABYGa34qkEFrF0+r6suhWkS1p2IS39/Bf57uRgX2EdebiI5aMRJK0oSXEV9521ZD1HwmNgCAgXAGaErZx+7ZtK+fj1P9qz9MFjRq2Z3l+Eycu1snUEgC0D4QKg0TAuRC5ODhQe5GW2vYFrDqgFCBcAQIBrDqgF9faWBAAAYJPA4gKgkYBrDoC6AeECoJGAaw4AK3MVZmZm0qhRo8jDw4PCw8Npy5Ytepdbvnw5derUiby8vCgiIkKmdWnZsiW5ubmRp6enlKFDh5rpCAAAANiUxTVz5kxydnam1NRUOnXqFA0fPpyio6OpY8eOlZbjTAUbNmygLl260MWLF0WYmjdvTo899ph2mV27dtGQIUMa4SgAAADYhMWVl5dH27dvpyVLloiV1LdvXxoxYgRt3Lix2rJz586lu+66ixwdHalt27Y0cuRIOnbsWKPsNwAAABsVrvj4eBGiqKgobR1bW3FxcUbXY+vryJEj1ayyCRMmUFBQkFhjsbGxDbbfAAAAbFS4cnNzydu78lDcPj4+lJOTY3S9xYsXU3l5OT311FPaus2bN1NCQgIlJibSoEGDaNiwYZSVlVVt3bS0NOrRo4e2rFmzph6PCAAAQE3wc1fzDOZnsqrauNg9mJ2dXamOpzkAwxArVqyQti62uFxc/kgW2qdPH+33+fPn0/r162WZhx56qNL6bJGdOHHC5H0cPfYxSku/aXB+UKAffbZtq8nbAwAAWycmJkYKw+KlKuFiF2FpaSmdP3+e2rRpI3Xs4qvqAtTw0Ucf0bJly+jw4cPUrFkzo9vmfG/sUrxTWLSmvPBvg/M/enf6Hf8PAAAAKnEVcgj86NGjaeHChRKowcEWO3fupIkTJ1Zbll2Br7zyCn399dcUGRlZaV5SUpKsW1xcTIWFhRIqn56eXskKAwAAoC4sUriYlStXUkFBAQUHB9P48eNp1apVYnGxm49diRoWLFhAGRkZdPfdd2v7ak2fXmHtcJvYjBkzyM/Pj8LCwmjv3r20Z88eCghARgIAAFArFukqZPz9/WnHjh3V6vv16yfBGxouX75scBssdKdPn6bGIDe/lPYcTSEvD0fycne6/elIXh5O5OJsjyEqAADA2oRL7Tg4VLSlXU0toIKiP4SWcXK0+0PMPJxuC1qFwHm4O5IDj/NeS3SDRfILSuXT3e2Py4tgEQCAtQDhaiDcXBzowX6h8r20tFwssOz8UsrJK6Gc259ZOSUibGXlfwSLsGR5uN0WskrWWsWni7P+0W0RLAIAsBUgXGbA0dGefL2dpVSFrbKCwjKtqInAsbjlldKV69WtNWcn+0oWmuazXEf8AADAmoFw1RF2vRmzYni+KXBbF7v0uDQJcK02v6S0XGuhsZjl5Fd8Zt4qoaTr+VReXrFc7m33IAAAWDsQrjpirvYiJ0d78vd2llKVckWh/MIyEbXVBlyIGthdWVpWTo4OFhtICgAAJgHhUjH2dnbk6eYoxcnJuCDlF5XRJ3uSqHkTd2oZ6kHNgt3EhQkAAPUNR1QzD/RtSg0BhMtGcHd1oMhmnpSYkkeXr+WRo4MdNQthEXOXT7bsAACgruiLbH6zgSKbIVw2ArsI+3QNpF5dAuh6RiElJudRYko+JSTnSfh9WIibWGLNQ9wlAAQAAGqDOSObIVxWGCxiqB8XY29vR6FBblJ6dlHoRkYhJSTniyWWlJIvIhYazCLmLm5FFyfjbWcAAGBuIFxWQl1McG4jaxLoJqVnZ3+6kVkkFhiXK9fziftBi4g19aAWTd0N9iEDAABzAuEC2rD8kABXKfd08qf0m0WUcNuVeDQ1nexiSaw0die2aOJOri4QMQBsHUVRKD2rmJKu51Fevvm65EC4gF4RC/J3ldKjgx9lZBVrLbFjp9LpOzuSPmcsYuFNPcjN1aHRo4wAAOaBu9YkpxXQldT820kSyohTr5oz/SqEC9QoYoF+LlK6d/CjzOzbInYtn74/nUE/nM6gkEBXcSeGN3Wv1K5mzigjAEDDwb/fCqHKp+S0QklTxzlXOSKZA7qahbjR2nfMJycQLlArEQvwcZFyVzs/uplTItGJLGQ//JohJcTfhcJDPcQaQ/5EANTrAszMLhah4sLuQMbT3ZGiWnpJcwE3K9QlIXh9AOECdRYxTUaPbu38KIstsZQKEfvxTKaUPKShAkA1lJUpdD2jQKKL2brKKyiT+iD2trT3kyhjXy8ng0MymRrZXB9AuEC9wAmEu3Jp60e3cljE8ht7lwCwGfbUsQ25sKhM6wK8dqOASssUSU7AgVhd21a4AU1pw2bM6favlXDxkPdr166ldu3aNdweAdXj4+VM0V7OMjwLAMCyXIC3cktEqDhJd1pmESm3M+u0au4pVlXTQFeLz2laqydLWloajR8/nt5++20aPHiwtv6JJ56gTZs2NcT+ASuGh3A5ee4mtWnhKQNqAgBMZ7SJwU885FFqRqFYVixWPLoEE+DjTNFtfUWs+LuaRmWvlXA1a9aMtm7dSqNHj6aEhASaMmWK1F+7dq2h9g9YMfb2RLHxWVKaBLpSVAsviUxE8l8AaiathuCn1ctj6NCJG3T1RgEVl5RLIAX/zjq18hGxUrNHpNZ7HhwcTPv27aOJEyfS+fPnaenSpQ2zZ8DqcXd1pEeGNqeLSbl0PimHDp9MkxBbTgbcpoUXBfqq6y0QAEuioKhM+lvxyyC3VXEWHGtJpl0r4XJ2rhgTyt3dnbZt20Zz586lRx55hAoLC+t9xzIzM2nq1KkikoGBgSKQjz/+uF6f7bx58+jDDz+U6aeffpqWLVumfeCdOnVKtnPu3Dlq3769tNF17dq13vcX1C3KiIdkYXdFlygfcWfEJ+XShSu59HtCjkQwsYCx790NmToAqBUero706P0tJLWbtVEr4dq7d6/2OwvD8uXL6d///jc9//zz9b5jM2fOFKFMTU0V8Rk+fDhFR0dTx44dKy23Zs0a2rFjB8XGxso+/elPf6KIiAiaPn06FRcX08iRI2n27Nn07LPP0urVq2WaLUWNCIOGozZRRnY6eRPv7RxAl6+xFZZLP8Vl0omzmeLaYFdiWLCbJAoGwFZRFIWupxdSQWFFuLohHBzsrFK0GPvaRhX+9ttvlepYIK5cuVKvO5WXl0fbt2+nJUuWkKenJ/Xt25dGjBhBGzdurLbs+vXrac6cOdL+FhYWJt/XrVsn8w4ePEilpaUiXC4uLiKwfNEPHDhQr/sL6hceVqVtS2/6c/9QGjUojDq28qEbmYW0/3gqfbrvCp2Iy5SQewBsCfZanI7Pou3fXKW9312XEc1tFfu6RBVWffCzWNQn8fHx5OjoSFFRUdo6trbi4uKqLct1PE/fcvzZpUuXSu0kPK1vO8By+4fd3dGfHh3aggbfEyypp85cvEWfHbhGXx5JpvjEHCopsd0fMLBuOCIwKSWv4qXt6yv087mbElTR/64gm47EtciowtzcXPL29q5U5+PjQzk5OXqX5Xm6y3EdW1ZV5xnbDotyjx49tNMxMTFSgGXA7kFO6Mslv7CULl6pcCVy0t/jv2ZQRJiHtIcF+7sgoAOonuzcEglY4nucgyy4jbdTax+5x308rVewuOmHi+aZrKqoQnYPZmdnV6rjaS8vrxqX5e9cxw+v2mwnKCiITpw4Ua/HARouGrFzG1/5IafdLJIft6ZNzNvDUX7crZt7VgoEqQqy1QNLg11/icn5FJ+UI21Y/PrVTNp2PSWZbdW23SAzplgyF7oGg64hoYqoQnYRctsUC2ObNm2kjoMvqgZmMFzH8+65555qy/End5Zm60vzFn769GkJ/ADqh69psL+rFB5DjPMksnixO4U7NoeFuImIcWAH92FBtnpgiWTcKhKX96WredLfysvdke5q7ycvX8b6Wn1mw/eqUeFKSUkhPz8/cnV1NWtUoYeHh7gjFy5cKGHuHFW4c+dO+u6776otO2nSJHrnnXfowQcflH1ioXruuedk3sCBA8nBwYHef/99CSL54IMPpF436wewDrh/CosUF05pcyEpR8Lqv/3pBrk428tDIPVGJj09Z7XBbSBbPTAXLFCXruaKYGXcKpYXq/DQishZ7iQMd/cdBGdMmDCBtmzZop1OT0+nl156SULLNW61hogqZFauXEkFBQXimuSAkFWrVokFdeTIEXEBapg2bRo99NBD1LlzZ+rUqZOEzXOdxkLkUPkNGzaQr68vffTRRzKNUHjrhtsAunfwl87Nf7o3RHKvnbuUTbnIVg8aO4w9o1A62m/9KknGs1MUop6dA+jRYc1pQPdgahrkBtEyATuFz6YB/P396cKFC/LJcEg6u9pYJA4dOiTRhcb8kGqCjwNtXNYLZ8EeMPh+mj63ouHXkMV15OBXZt0vYP1ogoniE3MpO69Emx0mKtxLdTkCLeWZbNRVyJqmEa2MjAzavXs3/fTTT9StWzfpK7Vo0SL68ssvG2avAahHXF0cpH9YTUOSc0GuRFATNQX3cBg7DxPCrkBObsvmQUiAC3WJCpRBVq0l9VJjYVS4WrVqJe1LnCKJrSsOh2fRYjj90vz58821nwA0OPlFZfTJ3iQZ3bVlmIdk6bD04R2A+TAluGf9+o0SFXghKZfyC8vI1cVeOtDzCAi+XmiiMItwvfDCCzRu3DhpM+L2IQ6YqJrhAgBrwcPVQVw4iSl5dOlanrh0KkTMk8KC3CSFDrBdasrGvuLNp2nb/qsSxs4Rrfd2rohoRYoyMwsXB2eUlJSIaLG1xclsNbDvsWlT9IEB1oODgz316RpIvboEUEp6ISUk50q/motXb4tYUw/p6Myjw3IUGAC6lCtE3dr5UusWXpI8GjQcNZ7dyZMnS6kKR/eNHTu2ofYLgHrH1A6b/IbMbkIuvbooMjQE9xFLTMmXRnZuK+OhIljEmgYi6S+owNPdkbq2VV+nXzVS59eCl19+uX73BIAGpi4dNlmUOGsBl17RCiXfKKDLyXnazs4uLGKh7hQR6in9byBi1kNZmUJpNwspOa2QUtILJCIQWAawZwEwEXYPcpsFl9KyAK2IccYDDnXmjs4cMcZFRAxhzqqiXFEo81YxpaQViFilZhaKePFVDPB1lpcUYBlAuACoAxxtyG1eXDjH3LXUChG7eHsQTI4ma3m7TSw4oGYRQ+5E88PdfTjLSkpaISWnF0h+QM5owfAgppzFommQq7yEuDg50N+dMZippQDhAqAeRCw81EMK9wO7ypbYtTw6fyWXfkvIkczebIWJiOlkr0fuRPPD2VPYokq57f7jkHXGw81B2i25zZLFihM5A8sFVweAeoQ7L2vchSUsYqn5ImLcEfXc5Wxyd/1DxGoKr0buxDunsLhMLCkOsGHBys6reEFgty6LVGiQq6RZ4sS2NWWwsMZs7GoFwgVAA8HZESLCPKXwYJdXbosYuxLPcu7EfORONIY+i9S9BouUXxZSM9iaqhArbrNiHB3sxOXXLsJbclf6edc+1RKsX8sBwgWAGXByspfOzVy4HeXK9XxaUUNbv5E0ojaBKRZpWTlH/hXddv8V0I2bRZJeyd6eKNjPVfpVsUUV5OuCiE8rAsIFgJnhfmCteKDLGtpRcvJLacvuRPL2dCJvDyfy9nTUfvfxcBIxtPXktXx+SssqBD7Q15k6tfIRoQrxd0HOSSsGwgWAheLq7CA5E3kY9+sZBXTxakUggQYO+qgQMkcZyqVC3JzIy8OxTjkW6+Kaawg4SrOwqJzKbwuSIcrLiVq38KTQQLeKyD9E/dkMEC4ALNgy6x0dqJ3miMXs/FIRMil5JRLOzW1n55Mqwrg1cMohsdBui5nGUuMgBEMus4YKFuF2Jw6SYDGq+Lxdistvf1ae1lhQuYWlNWaq6NXlj/MDbAcIFwAqgV1f/t7OUqrC7WYsZrfy/hA1/pTh4Ev/EDWOR2Dx+sP9WOF2ZJEzBW53Y2HRKz7F5VRwu75IR6g0QqSvQzdH9/GQM2w9stXI39nS5M81LrCggH4gXAA0EvUZXs3WWaCfi5SqQlNUXC6WmUbMKiy1Uom848wQGnJqSGnEUZAb/5coARGGhIg7XmuEx8fTuWJaR4xcne1FpHja0dHOaGQf2qiAISBcADQS5mgvYmEQwXBxoJAA12qixh1wNZbayhqCPXhYl/aR3iI+ukKk2T6HnGM0X2AOIFwA2CgsMh5ujlI4Eo/FyBhsKd3dsWJEdHOADr/AEBAuAIBFgg6/wBAW6UTOzMykUaNGkYeHB4WHh9OWLVsMLrt8+XLq1KkTeXl5UUREhEzr0rJlS3JzcyNPT08pQ4cONcMRAAAAsCmLa+bMmeTs7Eypqal06tQpGj58OEVHR1PHjh2rLct++g0bNlCXLl3o4sWLIkzNmzenxx57TLvMrl27aMiQIWY+CgDUha5rztB8ACwBixOuvLw82r59O505c0YspL59+9KIESNo48aNtGzZsmrLz507V/u9bdu2NHLkSDp27Fgl4QIA1Axcc0AtWJyrMD4+nhwdHSkqKkpbx9ZWXFxcjeuy9XXkyJFqltmECRMoKChIrLHY2NgG2W8AAAA2Kly5ubnk7e1dqc7Hx4dycnJqXHfx4sVUXl5OTz31lLZu8+bNlJCQQImJiTRo0CAaNmwYZWVlVVs3LS2NevTooS1r1qyppyMCAABgCvzc1TyD+ZlsMcI1cOBACcPVV9gtyO7B7OzsSuvwNAdfGGPFihXS1vXll1+Si8sfnTD79OkjwRnu7u40f/588vX1FausKmyRnThxQltiYmLq8agBAADUBD93Nc9gfiZbTBvXwYMHa2zjKi0tpfPnz1ObNm2kjt17+gIzNHz00UfS/nX48GFq1qyZ0e2zQNr6cBEAAKBmLM5VyCHwo0ePpoULF4qIcaDFzp07aeLEiXqXZ1fgK6+8Ql9//TVFRkZWmpeUlCTrFxcXU2FhoYTKp6enixUGAABAnViccDErV66kgoICCg4OpvHjx9OqVau0Fhe7+didqGHBggWUkZFBd999t7av1vTpFSG93C42Y8YM8vPzo7CwMNq7dy/t2bOHAgICGu3YAAAA3Bl2CvxmAjcGsl8VAACAZT+TLdLiAgAAAAwB4QIAAKAqIFwAAABUBYQLAACAqoBwAQAAUBUQLgAAAKoCwgUAAEBVQLgAAACoCggXAAAAVQHhAgAAoCogXAAAAFQFhAsAAICqgHABAABQFRAuAAAAqgLCBQAAQFVAuAAAAKgKCBcAAABVAeECAACgKiBcAAAAVAWECwAAgKqAcAEAAFAVFilcmZmZNGrUKPLw8KDw8HDasmWLwWUXL15MTk5O5OnpqS2XLl3Szj916hR1796d3N3d5ZOnAQAAqBeLFK6ZM2eSs7Mzpaam0ubNm2nGjBkUFxdncPlHH32UcnNztSUyMlLqi4uLaeTIkfTEE0/QzZs36cknn5RprgcAAKBOLE648vLyaPv27bRkyRKxnvr27UsjRoygjRs31npbBw8epNLSUpo9eza5uLjQ888/T4qi0IEDBxpk3wEAANigcMXHx5OjoyNFRUVp66Kjo41aXLt27SJ/f3/q2LEjrVq1SlvP63Tp0oXs7Oy0dTxtbFsAAAAsG0eyMNjV5+3tXanOx8eHcnJy9C4/btw4iomJoZCQEDp+/DiNGTOGfH19afz48bItXteUbaWlpVGPHj2007xNLgAAAMzDmjVrpGieyRZjcQ0cOFAsIH2F3YLsHszOzq60Dk97eXnp3V6HDh0oNDSUHBwcqHfv3jRr1izatm2bzKvNtoKCgujEiRPaAtECAADzws9dzTOYn8kWI1zc7sTtTPrK0aNHxUXI7VLnz5/XrhMbGytuQFNgAeRtMbzO6dOntdMMT5u6LQAAAJaHxbVxcQj86NGjaeHChRKocezYMdq5cydNnDhR7/I8jyMGWZx+/PFHev/99yVyUGPdsSXGdUVFRbRixQqpHzx4sFmPCQAAgBULF7Ny5UoqKCig4OBgaavigAuNlXTkyBFxAWrYunUrtW7dWtx/kyZNopdfflnC3hkOqd+xYwdt2LBB2r0++ugjmeZ6AAAA6sRO0fWj2TAcmMF+VQAAAJb9TLZIiwsAAAAwBIQLAACAqoBwAQAAUBUQLgAAAKoCwgUAAEBVQLgAAACoCggXAAAAVQHhAgAAoCogXAAAAFQFhAsAAICqgHABAABQFRAuAAAAqgLCBQAAQFVAuAAAAKgKCBcAAABVAeECAACgKiBcAAAAVAWECwAAgKqAcAEAAFAVEC4AAACqwiKFKzMzk0aNGkUeHh4UHh5OW7ZsMbjsAw88QJ6entri7OxMnTt31s5v2bIlubm5aecPHTrUTEcBAACgIXAkC2TmzJkiQKmpqXTq1CkaPnw4RUdHU8eOHastu2fPnkrTAwcOpMGDB1eq27VrFw0ZMqTB9xsAAIANWlx5eXm0fft2WrJkiVhIffv2pREjRtDGjRtrXDchIYGOHDlCkyZNMsu+AgAAMD8WJ1zx8fHk6OhIUVFR2jq2tuLi4mpcd8OGDdSvXz9xD+oyYcIECgoKEjdhbGxsg+w3AAAAGxWu3Nxc8vb2rlTn4+NDOTk5JgnX5MmTK9Vt3rxZLLHExEQaNGgQDRs2jLKysqqtm5aWRj169NCWNWvW1MPRAAAAMBV+7mqewfxMthjh4jYoOzs7vYXdguwezM7OrrQOT3t5eRnd7tGjR+n69es0duzYSvV9+vSR4Ax3d3eaP38++fr6ijuxKmyRnThxQltiYmLq6YgBAACYAj93Nc9gfiZbTHDGwYMHa2zjKi0tpfPnz1ObNm2kjt17+gIzdFm/fj2NHj1ahM8YLJCKotRhzwEAAFgCFucq5BB4FqCFCxeKiB07dox27txJEydONLhOQUEBffrpp9XchElJSbJ+cXExFRYW0vLlyyk9PV2sMAAAAOrE4oSLWblypYhRcHAwjR8/nlatWqW1uNjNV9Wq2rFjh7gAuQ1LF24XmzFjBvn5+VFYWBjt3btXwucDAgLMejwAAADqDzsFfjOBGwPZrwoAAMCyn8kWaXEBAAAAhoBwAQAAUBUQLgAAAKoCwgUAAEBVQLgAAACoCggXAAAAVQHhAgAAoCogXAAAAFQFhAsAAICqgHABAABQFRAuAAAAqgLCBQAAQFVAuAAAAKgKCBcAAABVAeECAACgKiBcAAAAVAWECwAAgKqAcAEAAFAVEC4AAACqAsIFAABAVVikcK1YsYJ69OhBLi4uNHny5BqXf/fdd6lJkybk7e1NU6ZMoaKiIu28hIQEGjRoELm7u1O7du1o//79Dbz3AAAAbE64QkNDacGCBSJCNfHVV1/RsmXL6JtvvqHExES6dOkSLVq0SDt//Pjx1K1bN8rIyKA33niDxo4dS2lpaQ18BAAAAGxKuEaPHk0PP/wwBQQE1Ljs+vXraerUqdSxY0fy8/OjV199ldatWyfz4uPj6eTJk/Taa6+Rm5sbjRkzhjp37kzbt283w1EAAACwGeGqDXFxcRQdHa2d5u+pqaliYfG8yMhI8vLyqjSf6wEAAKgT1QtXbm4u+fj4aKc133NycqrN08zneVVh9yG3q2nKmjVrzLD3AAAANPBzV/MMNtak40hmZuDAgXTo0CG98/r06UNHjx6t1fY8PT0pOztbO635zlZW1Xma+boWmIagoCA6ceJErf43AACA+iMmJkYKw+JlMRbXwYMHSVEUvaW2osVw21ZsbKx2mr+HhIRI+xjP42ANXQuL53M9AAAAdWKRrsLS0lIqLCyksrIyKfyd6/QxadIkWrt2LZ09e5aysrLo9ddf14bQR0VFUdeuXSU4g7fx+eef0+nTpyVIAwAAgDqxSOFi8eEoQA5z37Rpk3znOiYpKUlcgPzJ3H///TR37lzpq9WiRQsKDw8XodKwdetWcQFyxOG8efNo27Zt4hYEAACgTuwU9tEB8aeijQsAACz/mWyRFhcAAABgCAgXAAAAVQHhAgAAoCogXPWELXZYtrVjxvFaNzhe9QDhqifUfBPUFVs7ZhyvdYPjVQ8QLgAAAKoC4fC3CQwMpJYtW9Z5fc6rZWv9w2ztmHG81g2O17LgsRTT09P1zoNwAQAAUBVwFQIAAFAVEC4AAACqAsIFAABAVUC4akFmZiaNGjWKPDw8JJnvli1b9C7HzYYvv/yyDK3Chb+rsSnR1ONdvHgxOTk5SfJjTeHhZNTGihUrJD+ai4uLdoQBQ7z77rvUpEkT8vb2pilTplBRURFZ6/GuW7eOHBwcKl1fHp5ITfD1mTp1qtzHPB4fjxqxZ88eq72+RbU4XjVeXwhXLZg5cyY5OztTamoqbd68mWbMmEFxcXF6+0fs2LFDxv7iYVR27dpFq1evJms9XubRRx+VEac1JTIyktRGaGgoLViwQB5Uxvjqq69k5IJvvvmGEhMTRaQXLVpE1nq8TK9evSpdXx4QVk3wsEjNmzeXQWxv3bolo02MGzdOItes8fqW1uJ4VXl9OaoQ1Exubq7i5OSk/P7779q6J554Qnn55ZerLdurVy9l9erV2ukPP/xQ6dmzp2Ktx7to0SJlwoQJirXw17/+VXnyyScNzh8/frwyf/587fT+/fuVkJAQxVqP9+OPP1b69OmjWBudO3dWtm3bZvXXt6bjVeP1hcVlIvHx8eTo6CiDU2qIjo7Wa4FwHc+raTlrOV6GrUp/f38ZXXrVqlVkzei7vmyVZmRkkLXyyy+/SF9Hvh+WLFlicGBXtcDXi+9xfaOhW+P1TTVyvGq8vo6NvQNqgc1n9nfr4uPjQzk5OXqX5Xm6y3Edt3PZ2dmRtR0vuyBiYmIoJCSEjh8/LiNM+/r60vjx48ka0Xd9GT433KZpbfTv35/OnDkj7SX8UGe3ML/UzJ8/n9RISUkJTZgwgZ588klq166d1V/fkhqOV43XFxaXiXCDZXZ2dqU6nuaGz5qW5e9cpxbRqu3xdujQQdpLuIG3d+/eNGvWLBlp2lrRd30ZfefGGuD2yoiICLK3t6fOnTvTwoULVXt9y8vLaeLEidJ2y8Ep1n59y004XjVeXwiXibAJzebz+fPntXUcfKHP9OY6nlfTctZyvFVhgVZjFKWp6Lu+bG2q8W28Lqj1+vI+c6Qdu822b98ukbDWfH0VE49Xlde3sRvZ1MSjjz6qPPbYYxK4cPToUcXb21s5c+ZMteVWrVqltGvXTrl69apy7do1pUOHDlJnrce7Y8cOJTMzUykvL1eOHz+uhIaGKuvWrVPURklJiVJQUKDMmzdPAlH4O9dVZc+ePdJYHxcXp9y8eVMZNGiQ3qAVazne3bt3K9evX5fv586dUzp27KgsXrxYURvTpk2TIKmcnByjy1nL9Z1m4vGq8fpCuGpBRkaGMnLkSMXd3V1p3ry5snnzZqk/fPiw4uHhoV2OH+AvvfSS4ufnJ4W/c521Hi+Lm7+/v9S1bdtW+cc//qGoEY6O5Hc53cJ1iYmJcmz8qeHtt99WgoODFS8vL2Xy5MlKYWGhYq3HO2fOHDlWvg8iIiKUV199VSkuLlbUREJCghyfi4uLHJumbNq0ySqvb0ItjleN1xdJdgEAAKgKtHEBAABQFRAuAAAAqgLCBQAAQFVAuAAAAKgKCBcAAABVAeECAACgKiBcAKgQzu5g6WMmAdBQIMkuABYI58vTkJ+fL4M9ci5Ihsd2U9toAwDUJ+iADICF07JlS/rwww9pyJAhjb0rAFgEcBUCoFIx279/v3xfvHgxPfLII/TEE09IBnPO8M1jLy1dupSCg4NlJNx9+/Zp1+URcTn5atOmTSksLExGQS4rK2vEowGgdkC4ALACeCB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" ] @@ -1438,7 +1479,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 38, "id": "4a222df8", "metadata": {}, "outputs": [], @@ -1482,7 +1523,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 39, "id": "07b0838c", "metadata": {}, "outputs": [], @@ -1501,7 +1542,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 40, "id": "3105d6de", "metadata": {}, "outputs": [], @@ -1542,7 +1583,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 41, "id": "371760ae", "metadata": {}, "outputs": [ @@ -1558,7 +1599,7 @@ }, { "data": { - "image/png": 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", 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", 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", 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9KVwDszXiZfn5yN63F9l796I0N8f4gfbwoTef//3fB4EtWyG0Y0fI1qGvv8Y3N9+MsoIC6F7ryy7DFR98YMznuvLgqJ9mzsRvc1+B9rm5YdC/nka/mTMhW/nHkpC9bx8qioqM/RB0Xh/zX3cvL+N3M6xLF/g2sd9pHWyJeNbuXTiy8mtk7d6N7L17kH/0aL1OROQTFo7Ifv0Q1X8AmvYfgLBu3SwbGVLb5s/HT9OnG9DYpYju3XHV558jqGVL4fdVVliIb269xTg9gZ3qetttuHjBm5YuQ8yJj0fqlk1I3bwZqZs3oSApqV6f5xvZFGGdOyOscxe0GDYMzS8aCrukPeK0nvfwiuU48MFiZDjpJEQ0X9ts8BB0umsiogYMgKuqrKjA+mnTjIN37FhAdDRGLVuGqD59hN0HnetkxdgxSN26FXas5bDhGPnJJ/ANDXXZfeYcPIjdb7+JI998g+I05xzxGtS6DdrfNAFx48fDLyISOqct4vlJSdj91gIkLPsMZbm5wu4nou956DrlXrS87HKIPs/3qgkTcHjVKtg5OnDl8vffR7tRo5x+2+k7d2L56KuQd+QI7BydG37Mii8QEhsr9H7St/2OHW/Mx9FVK4U9q3T38kLLy0eg2+QpiOgt7o+/lWmJ+L73FmHbc8+g3IXzxSHtO6DLpMmIHXe18YPjzGjH5YoxY5D+559OvV1Vo3NqD3nxRfS+/36nnpb3qxuuR6nAP/gq5RcZiauWfY7mAp5pHvthHXbOfx0pP2+AK39mOt89Eb1n/N14sQ2d0grxvMREbJ7+CFI3/mzZNvhHN8d5T/0Lra640mknr/pi7FglDp93dT0mTcJFr7zS6P0Tuq9AaWi0c//yd95Fh2uvdcrtZezYgY3THkKmhYOR4LZtMXDuPET16w9d0gZxY/T97NMoLyyEDMWNvxHnPfW08fS/oSWsWoVVN91kixUoDa3N5ZcbBwZ5BwY26PPXz5hhnP+Eq2PlytPPoN+MGY26mZ0L3sC2F59HpQTnmXFzd0enO+5E38efNFagqZ4WiG+f/SJ2vvYqZCsoti0Gz1+AJj17nvPnHvjsM+MQeh4dnr3mAwdi9BdfnPMSxDWTJ2HHf/4jbLt06vxHZ2Dws8+e8+cVJidjwwNTkfzTeshWzN8uwdD/vKM85MojLivgZjQ/3mPadHSdfK8xAqhP9OIN395xh5Snj5W1Zv36YcxXX8EnJOSs16WdaN9NvBu733vPJdumS30fehgXzp5d7+sfWbUSGx95yLIXyLAL5EojLjvg1YsaOBAD572OgOjmdV5vz5IlWH333bZaA+7Ms/SNXbkSvmFhdS7T/PaO27H3ww9dum261HvqVOPFJuqqvKgQvzz5BA4sWQwVilEccmUR/+PlOdih2NF0vhERuPjDjxHWpetpP04vqLv23nsZ8EaePGvsqlXwa9Kk1sdoamrVrbdg/yefWLJtOu1Qvvj1+af9WHFmBlaPv97SnZcNhXzYovctPYivodXv+b1k0dKkHa/WPRqQseL0dKy+7hpknOYH/M+FC/H9lCkMeCNL++MPLLv00lqXV5SV4esbxzPgTujPt97C6kn31Lq8MCUF344doxzgVNKa1dj1ppoH0SmHOK0+oWWE9TlcXsbK8vKM0cqpGUsIFf2aZItOG3tqtCqiKC3dku3RsYLklFqXFWdmoig9Daq2/aXZyIk/ANVSDvHfn3sG+YoeUefm4WGsVmkxtPZrSl4waxb6/f3vlmyXTgXGxODq1atrXU7nzR7z5ZdoMXiIJdulU7FXXIlRn35a6/LwLl1w6SefwSc8HCpWWVKCnx98QLlnw0ohTifE2f/eIqgMeOtRZ375MYbcOYCHtm172o/TWnKG3DmAe3h7n/bj4V27Kg152m9bsXvh21AppXZsfnHREOQejIeOgFdv06xZ+OX554Vvl50AP/U8NMtHjcKxDT+5ZNvsAnj1MnftwnfXXY2SzEyoloefH8Zt+kWZF+5WZiSevP5HWwBO8YhcHOAUj8jFAq76iLyiqAjxH6uzBFUZxOlUsnYA3IwhFwO4GUMuDnAdIN+/ZIkyc+NKIF504gSOKvYako0B3IwhFwO4GUMuDnDVIS9IOmqcbVGFlED84H8/hkOhc4g4A3AzhlwM4GYMuTjAVYd8/+L3oUJKIK7S/JQzATdjyMUAbsaQiwNcZciTVn9nzALInvSI04OYn5gIuwJuxpCLAdyMIRcHuKqQOyoqjFcfkj3pEacXNLY74GZ2h1wU4GYMuTjAVYU8SwF/pEc8a4/8D6IrALc75KIBN7Mz5KIBVxHyrN27IXvSIy77SNyVgNsVclcBbmfIXQW4apBnSe6PGohLPBK3AnC7Qe5qwO0IuasBVwny3IMHUVFSApmTHvG8wwmQMSsBtwvkVgFuJ8itAlwVyB0VFcg/KvcJ96RH3M3TE7IlA+C6Q2414HaA3GrAVYHczUM+g5RCXLaXTJIJcF0hlwVwnSGXBXAVIPeQzKBTY8QVB1w3yGUDXEfIZQNcdsg9fOUxSE3EfX0hQzIDrgvksgKuE+SyAi4z5B6SGKQu4j7WP4AqAK465LIDrgPksgMuK+QeEhikNOJeQYGW3r9KgKsKuSqAqwy5KoDLBrmnnz/cPTwgc9Ij3qRXb8vuW0XAVYNcNcBVhFw1wGWCPKK3df5og3hU/wGW3K/KgKsCuaqAqwS5qoDLAnnUgAsge9IjHnl+P7i5u3YzdQBcdshVB1wFyFUHXAbIowZYM4jUCnHv4GCEdu7isvvTCXBZIdcFcJkh1wVwKyF39/JC5HnnQfakR5xq6qK/hjoCLhvkugEuI+S6AW4V5E169DR2bMqeEoi7Yl5KZ8BlgVxXwGWCXFfArYA8SoH5cGUQbz50GHzCmwi7fTsAbjXkugMuA+S6A+5SyN3c0Paaa6BCSiDu6eeHjnfcIeS27QS4VZDbBXArIbcL4K6CPObivyGsU2eokBKIUx1vux2e/s6dn7Ij4K6G3G6AWwG53QB3BeTdpt4PVVIGcZ/QMMTdOMFpt2dnwF0FuV0BdyXkdgVcJOSR5/dDVL/+UCVlEKc6T5xoLPtpbAy4eMjtDrgrILc74KIg737vfVAppRAPaN4CbUaPadRtMODiIWfAxUPOgIuBPLRDR7S87HKolFKIU13vux/uDfzBZcDFQ86Ai4ecARcHeY+HH4FqKYd4SFwces/8xzl/HgMuHnIGXDzkDLg4yNuMHoPYRj7TtyI3h8PhgIJ9f+MNSF7/Y72uy4CfW5tmzcIvzz9/Tp/DgNe/0vx8LB81Csc2/HROn8eA17/MXbvw3XVXoyQzs17XD4iJwVVr1sE7JASqpdxI3Gzg3Hn1OgCIARc/ImfAxY/IGXBxI3I3d3cMef0NJQFXGnG/qCgMmPNSnddhwMVDzoCLh5wBFwt5t6n3K3OIvVaIU7QXuf2EW077MQZcPOQMuHjIGXCxkEf06o1e0x6Fyik7J25WXlSElSMuQ278garLGHDxc+QMuPg5cgZc7By5p38ARq1Zi+DYWKic0iNx87wqQ//vHfg0OTk/zoCLH5Ez4OJH5Ay42BG5m6cnLlzwpvKAazESN8vctRPfj78B/Z59jgEXOCLfvXgxAy54RE4vhMKAixuRr77hOvR7+hnEjhkLHdIGcao0Lw/eQUFWb4bWlRUUwCsgwOrN0Lby4mLj2aSHE04vwdkjrRDnOI6zW8rPiXMcx9k5RpzjOE7hGHGu3lWWliJ39y6rN0PrCpOSUJKebvVmcAqlDeK73n0XbwQFYOMTj1u9KdoCvuuJmdg+dRIyf9ls9eZoC/hv90403hhyMcUv+wwLQoKwbqpa5wzXHvE9ixfjh/vvAxwObJv7CkMuCPCMjRtQWVqCnX+fzpALArzkRCoKjyQy5IIA/+722+CoqMDud9/Bjw8/BB1SHvF9H3+EdfdONgA3Y8jFAP7XZQy5KMCrLmPIhQFutnPh29gwQ+1D7pVH/MBnS/H9PRPhqKys9TGGXAzgf32MIRcFeNXHGHJhgJv98cZ8bHz8Maicsogf/GIF1tx5x2m/MWYMuRjA/7oOQy4K8KrrMOTCADfb9upcbH5qFlRNyYN9jv+8AStGjTSgqU+9H3oYA59+Rvh22Qnw6rl7+6Db83MQ3m+A8G2zE+DV82/VGn3fWAifiAjh22YnwKs35KWX0WPSZKiWcohnHziApRcPq/crdpgx5GIAN2PIxQFuxpCLA5yi0x1c8fEnaDNiBFRKKcSLMzKwdPhQ5Bw82KDPZ8jFAG7GkIsD3IwhFwO4GZ0XaOx3axDZsydUSZk58YqSEqwcf32DAad4jlwc4Cdvg+fIRQJu3AbPkQsD3DzB29fXXI38Y8egSsogvnbyJCRv3Njo22HIxQD+120x5KIAr7othlwI4GYFyccNyMvy86FCSiD+y7PPYP8n/3Xa7THkYgD/6zYZclGAV90mQy4EcLP0HX/i29tuRaWTbs/WiO/76EP8+vxzTr9dhlwM4H/dNkMuCvCq22bIhQBulvjNKmx4dDpkT2rE6TUH1947Rdjt2xlykYD/dR/2hlwk4FX3YXPI4wUBbrbj7beMA4JkTtrVKdnx8cZKlHNdStiQ7LZqxRWA233ViisAt/uqFdGAm7m5u2PER/9F7JVXQsakRJxeomrpRRciY9dOl92nXSB3NeB2hNzVgNsRclcBbuYdEoLrf96E4DZtIFtSTqdsmDnDpYDbZWrFKsDtNLViFeB2mlpxNeBUaU4Ovrv9VlSUlUG2pEM8fvnn2PWff1ty3zpDbiXgdoHcSsDtArkVgJul/vortkh4jhWpplNyExPx34EDjL96Vqbb1IoMgOs+tSID4LpPrVgJeFVubhi5bDlaX3IJZEmakTg9TfnutlssB1y3EblsgOs4IpcNcB1H5FIATjkc+H7iXShISYEsSYP41heeN56uyJIOkMsIuG6Qywi4bpBLA/j/KkpLM17HQJakQDxz3178/srLkC2VIZcZcF0glxlwXSCXDXCzo9+vwf5PP4EMSYH4+oceRKWEe31VhVwFwFWHXAXAVYdcVsDNfp45EyUSTP9ajvjeDz/AsfXrIXMqQa4S4KpCrhLgqkIuO+BUYWqKFK8IZOnqlOKsLHzYp5cxx6RCsq9aURFw1VatqAi4aqtWVAC8+tGcV6/7EVF9+8KWI/Et/3pKGcBlH5GrDrgKI3LVAVdhRK4S4BS9SPuPDz4AK7MM8bykJOxe9C5US0bIdQBcdsh1AFx2yFUD3Cxt2+9I+Oor2A7x7fPmSrszUyXIdQJcVsh1AlxWyFUF3Oy3l+fAVogXpp3A7kWLoHIyQK4j4LJBriPgskGuOuAUHeOS9MM62AbxP+bPR3lREVTPSsh1BlwWyHUGXBbIdQDcbOuc2bAF4qW5udj574XQJSsgtwPgVkNuB8CthlwnwKljP/6I1K1boT3iCSu/NiDXKVdCbifArYLcToBbBblugJvt+/hDaI/4weXLoWOugNyOgLsacjsC7mrIdQWcOrTiC2iNeFl+Po6sWQ1dEwm5nQF3FeR2BtxVkOsMOFWQfBzJmzZBW8QPf/sNKoqLoXMiIGfAxUPOgIuHXHfAzQ6uWK4v4glffQk75EzIGXDxkDPg4iG3C+BWOOdSxNO2b4ddcgbkDLh4yBlw8ZDbCXAq9/BhlGRnQzvEK0pKkHPoEOxUYyBnwMVDzoCLh9xugJtl7t0L7RDPOrDfdt/IhkLOgIuHnAEXD7ldAacy9+yBfoi78C+TypAz4OIhZ8DFQ25nwKmsvRoinptwGHauPpAz4OIhZ8DFQ253wKmchARoh3hlpX2/ofWBnAEXDzkDLh5yBvxkrvz6LX95NjtCvu21ebUu3/PMLAbciZAXJNTciV6Wm8OAOxPy++5BZXl5jcuPfL+GAbcgRtzFBcbEoO3IUbUubz56HNx9fS3ZJt0KO+98+MW0rHGZV3AIml9Z+3HnGlbM2Gvg7ulZ47Lo/gPQrH9/y7bJrjHiLgZ8zMpvENK2ba2PhfU9D91feIUhb2RNBg5G12dehLuXV62PtZs4GbG332XJdulUhwenodX142td7hUYiFHLliN64EBLtsuuuQxxn9BQ2Lm6ADdjyMUBbsaQiwHcjCF3vXcuQzy8Y0fYtfoAbsaQiwPcjCEXA7gZQw6Ed+qsIeKdu8COnQvgZgy5OMDNGHIxgJvZHfLwzhoi7h8VBZ/wcNiphgBuxpCLA9yMIRcDuJmdIQ/r1EnPHZvhLvzCVAbcjCEXB7gZQy4GcDtD7uHri+DYWD0Rjxk6DHbIGYCbMeTiADdjyMUAblfIWwy5EO4eHnoi3m7MGOieMwE3Y8jFAW7GkIsB3I6Qtxsz1qX351LEm3TpitAOHaBrIgA3Y8jFAW7GkIsB3E6Qu3t6ou3Ika69T5feG/2ijNZzNC4ScDO7Qy4ScDO7Qy4KcLtA3nzwEPg2aaI34nFjx0G3XAG43SF3BeB2h1w04HaAPG6c631zOeIRPXogetAg6JIrAbcr5K4E3K6QuwpwnSH3CQ9Hh+uut8e5U/pOexQ6ZAXgdoPcCsDtBrmrAdcV8p6Tpxhfky0Qb33JJYjs1RsqZyXgdoHcSsDtArlVgOsGuVdgILpPmmyvsxj2mTYNqiYD4LpDLgPgukNuNeA6Qd7tzrvgGxZmyX27ORwOhxV37KisxEf9zlPutTdlArx6Wb9txY6ZD6OyuBiqJxPg1Tu48E0kvPsf6JAsgFevLD8fX44bg+SNG6HaEZq37NpjnFrEViNxN3d3DHr+RaiUrIDrNCKXFXCdRuQyAq7yiLzvI9MsA9zyF4WgufF2Y117dJOOgJupDrnMgOsCuayAqwp5SFwc+jz8iL1f2WfI7JfgFRQEmVMBcNUhVwFw1SGXHXAVIb9o7qvw8PGxN+IB0dHo//gTkDWVAFcVcpUAVxVyVQBXCfL2116HlsOGW70Z1u3YrF5lRQU+vXAI0v/YDplSEXDVdnaqCLhqOztVA1yFnZ3eISG46fftls6FSzMSp+i0jRe/+ZblT0t0AlyFEbnqgKswIlcZcJlH5INfnC0F4NIgbh6OP/DZ5yBDOgAuO+Q6AC475KoDLivkHW4Yj84TboYsSTGdUr2V429AwpdfWHb/OgEu69SKToDLOrWiC+CyTa2Etm+P63762ZLD66UfiZsNX/Amglq2tOS+dQVcphG5roDLNCLXEXAZRuQePj647L3FUgEuJeJ06Ool775nnFzdlekMuCyQ6wy4LJDrCrgMkA989jlj2le2pEOcih4wAP2f/KfL7s8OgFsNuR0Atxpy3QG3EvK2V41GD4tOcKXcnHj11tx9F/Z99KHQ+7AT4FbNkdsJcKvmyO0CuBVz5JG9emPst9/BKyAAMiY14hWlpfjiqpE4vmGDkNu3K+CuhNyugLsScjsC7irIA1u0wDU/rDcOSpQ1KadTzDy8vTHiw4+NPcLOzu6Au2Jqxe6Au2Jqxc6Ai55a8QoMxJVLP5MacOkRp3zDwzFy6TKnvvgoAy4ecgZcPOR2B1wk5G4eHsZKlIju8u3IVA5xKqRdO4z46L9OOaKTARcPOQMuHnIGXCzkQ+a8hNaXXQYVUgJxqvnAgRj+5luNug0GXDzkDLh4yBlwsZD3mHIvuk+8B6qkDOIUvZJ0vwae8ZABFw85Ay4ecgZcLOSxV47E4BfUerEaqVennKk1E+/Gvg8/qPf1GXDxq1YYcPGrVhhwsatWIiVfSqgV4rT08KtxY5D0ww9nvS4DLh5yBlw85Ay4WMiDWrXC1d+vk34livLTKdWXHl7x308RPWhQnddjwMVPrTDg4qdWGHCxUyuB/3NCRcCVRZyipzyjPvsczfr3P+3HGXDxkDPg4iFnwMVCHhDdHGO+XoXgNm2gasoibn6DRi5bjqZ9z6txOQMuHnIGXDzkDLhYyP2bRmH01yuNJcwqpzTilE9ICEYtX4GInr2M9xlw8ZAz4OIhZ8DFQu4XGYnRK1cirEMHqJ6SOzZPV3FGBtbcMxFDZs9hwAXu7Dy+Yhk6P/EUAy5wZ6dXSCgDLnBn5+q77kS/xx9HRLfu0CFtEOc4jrNjyk+ncBzH2TlGnOM4TuEYcY7jOIXTBnGa2i84sBeVZaVWb4q2lRYXI+P4cas3Q+uysnOQm5dv9WZoXVZqCirKy6FL2iCe89sW5G7fisz1axlyQYAf3bsH6UlHkXb0iNWboy3giUeSkHD4CEMuqJRDh3AiMRFJ+/ehsqICOqQF4nk7/0BRQrzx/7LMdIZcEODlpScf08zkZIZcEODms0qGXAzgOelpxv+L8/NxLP6A8VirnvKIl5xIQf6enTUuY8jFAW7GkIsB3IwhFwe4WWFODrJSkqF6SiNeWVqC7F/oDGW1/5oy5OIAN2PIxQBuxpCLA9wsLSkJxQUFUDmlEc/ZugWVRYVn/DhDLg5wM4ZcDOBmDLk4wI0cDiQfjFd6flxZxAsT4lF87Ox4MOTiADdjyMUAbsaQCwK82s/7iSPq/vwqiXh5Xi5yt22t9/UZcnGAmzHkYgA3Y8jFAG6Wk3YCeVmZUDHlEHdUViJ7y89wVJzbOk+GXBzgZgy5GMDNGHIxgJulJiQ0+GffypRDvDDhIMqyMhr0uQy5OMDNGHIxgJsx5GIAp+gAoPSkxn1/rMhduaMy9+9u1G0w5OIAN2PIxQBuxpA7H3Cz3Ix0lCk2GlcK8eKkI6jIz2v07TDk4gA3Y8jFAG7GkDsfcPNxzUpJgUophXjBvl1Ouy2GXBzgZgy5GMDNGPKTOQtws5wTJ5Q6t4oyiJekJqPMyXuP7Qy5aMDN7Ay5SMDN7A55ipMBpyorK5B9IhWqpAzi+XudNwq3O+SuAtzOkLsCcLtDLgJwM5pSqayshAopgXhZTjZKT4ibp7IT5K4G3I6QuxJwu0IuEnCKplPyMtKhQkogXpIi/hzWdoDcKsDtBLkVgNsNctGAmxXk5ECFlEC8NP2ES+5HZ8itBtwOkFsJuF0gdxXgVGFe41fCuSJG3AaQywK4zpDLALjukLsScKqirMz43ZE96REvy8mCw8X46AS5bIDrCLlMgOsKuasBNyvMy4XsSY94aZrrRuG6QS4r4DpBLiPgukFuFeBUkQJTKvIj7sKpFJ0glx1wHSCXGXBdILcScKoolxFvdBUF1v7wqQi5KoCrDLkKgKsOudWAU2WlJZA96RF3SPCKGypBrhrgKkKuEuCqQi4D4GayH/TDiGsEuaqAqwS5ioCrBrlMgJuvYSBzjLgmkKsOuAqQqwy4KpDLBjjFiDe2SnkQlxVyXQCXGXIdAJcdchkBNx8vmZMecZlG4jJCrhvgMkKuE+CyQi4r4BTPiTcyNy9vyJgMkOsKuEyQ6wi4bJDLDDjl4eEBmZMeca+QUMialZDrDrgMkOsMuCyQSw+4pyc8veUcSCqDuKfEiFsFuV0AtxJyOwBuNeSyA055+/lD9qRH3CskDLLnSsjtBrgVkNsJcKsgVwFwysffD7InPeKyj8RdCbldAXcl5HYE3NWQqwI45cMj8cbnGRwCuEu/mcIhtzvgroDczoC7CnKVAKd8/BnxRufm7g7f6BiokgjIGXDxkDPg4iFXDXBPb2/4BgRA9qRHnPJv1x4q5UzIGXDxkDPg4iFXDXAqtGlTuLm5QfaUQNwnKhoeAYGwG+QMuHjIGXDxkKsIONzcEBIRCRVSAnHKv20cVKsxkDPg4iFnwMVDriTgAAJDQ6VfH64c4n5t2tEEOewAOQMuHnIGXDzkqgJuTqWokjIqevj6ISCuA1TsXCBnwMVDzoCLh1xlwP0CAxGgyNJmpRCngrr1Um5u/FwgZ8DFQ86Ai4dcZcDd3N3RrG1bqJRSiLt5eiLk/AuganVBzoCLh5wBFw+5yoBTES1i4O0r/1GayiJO+URGwT+uI1SGvODAvlrnKT5xJJEBdyLkRfn5tU4jmnTsuIVbpU/0c3s06Vit82wX5OQoDbhvYCDCmjWDaimHOBXUvbey0yp+sXEI7NzN+H/1NajRbdspcXSYCkW1iTXmNSn3akf7tm3Tusb7XMPy9PAwHstT11AHhIQgqk0bKDuNEttWiXXhp+bmkP1lK85QeUE+Mn9YjYrCAqiRm4F3ULeeZ7xGRXk5kvbtRXGBKl+TfNEvYkjkmdf3FhQW4lBCIioq5D7Rv6x5enoirm1r+Pr6nvE6uRkZSEk4JP3LmlUHvEWHDgigU3womLKIqwS5u58/QvsNgk/TqLNet6Ki4iTk/5sO4OofPZsJjog46/UKC4tw0IBcvleNkjkvT0+0a9cGvj4+Z70u7eNJPhgv/YDETXHAlUdcBch9Y1ohpG9/uHuf/QffrJIg378PRXl5QrdNm9zcTgLepEm9P6WoqAjxhxjy+ubl5WWMwH3qAbgZ0ZJ+LAmZx+XcF+GmAeBaIF4F+Y9rUFGQL9VKmuBe58E/tmFHmhLkxw7sR2FurtO3TadoDjO6XRyCwsPP+XOLiotx8FAiysvLhWybLnl7e6Fd2zbwaeARjIV5uUg+eFCqHffuHh5o3r698oBrgzhVWV6OvB3bUBh/cuWHlXmFNUHogMHwDAxq1O3QnGJKQgJyM9Kdtm06RS+dRb+I/kHBDb6N0tJSHEo4guKSEqdumy75+/shtk0rYyqlMdH+ntTDCcjLzITVBdAO2Ni28FLksHrbIG5WkpaKnF83WTIq9wgMQmDHLsYpAuipmrOip6QZx4457fZ0yMvXFzEdOsK7jh1s9Y2mVA4nHkVevpxTclYVEhKM1i1bOHVFT352tjG9UpSfZ8nou2mr1nXu+FYx7RCnHDQq37kdBfH7aTjrkpF3QKcu8G3RStgSJRqN04EUGn67zjm/oCC0aN8eHp5eTrtNelyTjiUjIzPLabepck0jI9A8+uw74hsa7e/JSD6OguxsuKLA0DBj+aMqJ7WC3RE3qyguRtHhgyg8dEDIyNw7KhqBnbrCp6lrDhAozMvD8QP7jaemdi24SQSaxcY69ZlO9U6kpeN4cirsXMuY5mgS7prXti0pLERmSrKxLBFOpsiD9ktFRCA0sim8/dQ6CvNc0hrx6pWkJhuYFx9PosP4GnQbbt4+8I6IhHdklHGOcy8LTpJDS7do5UpZcTHsVpMWLYzDokWXnZNrHJ5vk1+Nqjzc3dGmdUsEBbn+QLqy0lJjVE4jdNoR2pidoH5BQQbcgeHhtji4yzaIV99ZWJ6Xg/KcbJRlZ5/8NycLjrIyuHl4GG9wP/kvvXkEBMA7oqkBtxVony4aidPKFbssQaQpKtoRFVKPNeDOig4KSjh81DYrV7y9vNA2tlWdB/G4srKSEuOZZ1FeLkqKiozf25NvDlQ6Tv6ffi68/fyNV6SnFzSmI559/PyMuW87ZTvEdckuK1fcPT3RIq49/IMbvgKlodll5YqzVqBw1sSIK17G8ePG6hVnzyfKEI2uaAmhM1agNGblypGjx5CTq+eznrCwELRs0dwW0w66xohrEE2rHD8YL9XBFM54ZZXIVvKcsCotPcPY4anLrws9rjEtohEeJscUIdfwGHFNonlyOulQfpbaS+RoPpNOYtWQIzBFV1hUhMTEJJQo/sfSz9cXrVvH1OscKJz8MeKalZWagrQjR5QcMdL5nJu3i4OXxLgYJyg7lmy8wISKRTQJN9Z/y/IMh2t8jLiG0ZnjaFROa3BViFYZhEc3N5YQqnI+58ysbBw7nqLMCbRopyVNn9BRmJxeMeKaRt/W7NRUpCclobJSXmj8goKNI+loaZhq0fJDmicn0GUffUc3awoPmy29s0uMuObRzk566TcZTjx06tF0dB6L+pz/W/byCwqMKZbiYrmWIvr7+SEmJtr4l9M3RtwmFeRk40TiEZQWF1m7IW5uxtF0ETExBuS6RL9GtIIl9USa5a8a5OnpgWZRTY1D51WZnuIaHiNuo+hbTatXMo4fc/l8OZ3rhM4eF94sWuodl42N5sjTM7KQlp6O8vIKl79wQ9PIJgbevOPSPjHiNh6Z04FCog/dpyWDoU2jjFcR9/Ry3lkHZa+ystI4I+KJtAyUlZUJvS8fH2/jrIO05ptH3vaLEbd5tJIlLysT+ZmZxsm1nDXqphPvB4WFIzAszHbnsqge/Xrl5eUbJ9Wioz6dtZqFXrA4JCQIoSHBCAwIYLxtHCPOVUVTLAQ6vSQcnXSIXi2pXtGJiHx84BMQYJy3OTA01NZw1zmdlV9ggE4v1kznZKnvrx9Nj9CIOzDA31gmGODvz3BzRow4d8bKy8pQUlSI0qIiVJwyv0t+ePn4GksD6dwmos7vrXP0q0cn2SLMS0pKUVlZ81fR3d3NeGFiP18feGv4Ygacc2LEOY7jFI6HTxzHcQrHiHMcxykcI85xHKdwjDjHcZzCMeIcx3EKx4hzHMcpHCPOcRyncIw4x3GcwjHiHMdxCseIcxzHKRwjznEcp3CMOMdxnMIx4hzHcQrHiHMcxykcI85xHKdwjDjHcZzCMeIcx3EKx4hzHMcpHCPOcRyncIw4x3GcwjHiHMdxCseIcxzHKRwjznEcp3CMOMdxnMIx4hzHcVC3/wfPx7Dn6C//cQAAAABJRU5ErkJggg==", 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" ] @@ -1643,7 +1684,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 42, "id": "be00db3f", "metadata": {}, "outputs": [ @@ -1659,7 +1700,7 @@ }, { "data": { - "image/png": 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", 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", 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", 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", 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" ] @@ -1729,7 +1770,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 43, "id": "f876333f", "metadata": {}, "outputs": [], @@ -1764,7 +1805,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 44, "id": "d9cde0f6", "metadata": {}, "outputs": [], @@ -1795,13 +1836,13 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 45, "id": "29879cae", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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Mf3VPsATCEglLKEFX2diNF5ZOqY9mdZ2ztx+/SgnHXKXcXMsTDluuxvGNnynhmBg77z5w73YBynIdeKG4mAPtoEu8KXZYpBTQX14eiWfd2ab8uf7gIL7uWtb2tWebUMIxQ6l3/0b8iZFQlG0HJ7/1FrPYpqVhq1M7t9wKx6aroY29iKh/XkdyyM9mP3GF5EZ/fc9gCcV/99FCbyemLf3hAcQdGwgb10a88iW7YZGYrucLxX3wpFDcz1QozkJQS4dYrIzI44gNeAtyh+pwab0dUrla7JBIEQvFOTRaAm1EIC8fkXJrPbV6LAAlHWKRWPdMzKEekKrKwaXtbkiVzmKHRF6qUNxouHU7y4vgxQcNR+yRvrwiKzFflHSIxdElhCLmYBdI5Bq4tN1DlSwtoFCca/uDmYXi7u9B1M56VCjOjFHSIRZFnxyOmIOdAEEP17a7Idd4ix0SKcFCcW5dTkGmrsALxcUeGwRDeozYoZEioqRDLIY+LRLRBzvDkBEHlzb/QO6YuWgpsRw2TjXh2unY00JxO+sh7X7uZaCIaaOkU4CtX/ugdX17HNi/V+xQyAsYMuIR829X6JPvwqW1P2xcG4gdEjFGoTilC2IP9UDciVFUKM5MUNLJAysBMGpYX+w8dA0LR6Ri46KBGD283wtLA5hjuWpLKEnN6rPEBrwJXewlOLfYDIWHn9ghEaMWivsYqTd/RdQ/DZD+yDLqPVkySjrP2L9vD7q0rot25bZj7mADyjhJMHdAHNp4+qNrm7ql0uoRs1y1uZekFvQZiD3SHxkRgXDyWwfbVzqJHRIxeqG4uXDtcAiQ2iDmQHvEn55EheJMGCWdZ1o3v/0wCKtHhcOvBitv8FTzmgasGhleKq0eMctVmzPBoEdc0FCkP9gDx8bLYefdV+yQiEgU7k3h1vUMVNXH8kJxkf80REbkCbHDInmgpPNEvzfb8NbNV2/HQWOX9zL2bHtWq4ftb0nlqs2tJDW7STD+1Fik3fkT9g2+harqCLFDIiJjN/86Nlz0pFBcGqL3tUTCuc+oUJyJsaplcAoqV13W7g7KOunzLN723L7OepSzu4PofW0toly1uZWk5jVxzn6C1BuroKk9DZqaH4odEjG5QnHnnhSK+zZHobh6YodGqKXzVLtGnjh0sXCHg+3XtpGnxZSrNreS1OxCknz1e6iqjYHG53OxwyEmSKpwgFOTFXButQ2GtChE7W6CxEtzeZlyIi6raukU1ALp2SwZfTu9hv/h0Qu/z/HbZTD55xNQqVQWUa7anEpSJ19fhsTzM2BX6R04NFxEFT1JgWzLd4Wi+3nEn5qApAuzkH5vB1/F2sYx/5pPWT0YbIV5UvKopfMEm1ostfVASnrBF9uUNAEyO49iJxxm5syZaNq0Kbp27cpf16tXL89xHZZUsmaWPft4NuFk/S69e/fm359NKggMDIS/vz8GDRr03L6sJPXevXt5AmSJis10O3LkCDp1Mr1ZYCm3NiLh9AQoy3eHY5OVVBOHFIpU6Qrn5hvg1Pw36JJuI+qfhki6shCCkHuyUJaA/6LQZ+opuj+vlNBfbQ5tO/RC0NWCPzkHXpOgXae3iv2zTp06xbvVFi5cmL2NJZ2SmsG2bNkyPkHBw8MDAwYMwPLly7NbOqzlNHfuXP5vrVaLzz77DO7u7nwiwZIlS7Bt27ZckxBMQVr4DsQfHwFFmVZwbr6J3yBISNELxZ2Hsmz7zEJx+1mhuFui3Z9nrahcdQ7s/pR5k1viy/7R+e4z/Q83fLLgsMldlC25XHX6o0OI+bc7bJzrwqXdXkht8h6bIqQw2CUv9dZ6JJyZxNfoYwuJBt72wpzp72N8xwe5bpc4ekWKpfvLYebcn9CufUdR47aUa7JVjem8CEskkdrKGLbCkb/Wp9zjzzJV+ex9FCrX7HESUvoyok4hNqAX5A5V4NJmJyUcUjKF4l4dzGe5hR8chqljRkMqs8HqUfrnbpdg9+fVrxSOuYsGYstvrfHd4lX5TsghhUNJ55mTcfueILHDIE9o4y7zFo7Utgxc2rCaOC5ih0QsrFDc6MXxGNFYDr+arHVT8P15R6+w+/NuY/fB00aP1ZLQmA4xSbrEm5k1cWS2cGm3BzJVWbFDIhaoorc3yjrnPaEgr/vzWNl6UjyUdIjJ0ac8QMzBzhAMGbzqp1xTSeyQiIXq2mswAq4UbiZqQLCK70+KxyqSjoXMlbCK42xIj+YJx5AexcdwWP0UQkpLmzZtEXQjcwz3Rdh+bH9SPBafdNhimmxaMCl97DizNd9eFquHEnOwK+9ac275NxSuviUaHyGmcH+etbP4pMMWxWTL+xsMheu3JS+HHV92nNlSPi9D0KXyWWra2AtwbvEHlJ4tSzxGQl76/ryrAtq07260mCyZxc9eYzc83rt3z6xqxJjzp0Z2vItKMGgRe3QAMiKOwqnZOr50CSHG0qVHX8ybvBTt6uV/f96/FwSM7rsZuqQhNMZYTBafdKRSKSpUqCB2GCQfbCmSuKDhfCVgh0ZLYVfpbbFDIlamMPfn2djI4O0UwRcOdW7+O5SerUSL19xZfNIhpj3xIOH0eKSF/Q77el9BXW2U2CERK/Ts/Xn5LfipSwhF7OG3EHOwExx8F0JVbTQtOPsSKOkQ0bDVolNCfuY17jW1p4gdDiEFri4td6gK147HEBc4mH9Y0sVehEPDxZDIFEaP0ZxZ/EQCYpqSgufzujiqqu/xVg4h5lKnx7nlVqhrTUXKjZWIPtAB+rQIscMyK5R0iNGlhP6CxHPTYOvdHw4Nl1AXBTErEqkMDvW/hJPfBmhjziJq1xvQxpwTOyyzQUmHGFVq2B+IPzkWyle6wKnZGv4HTIg5sqvYH24dAtjoJKL2tkRq2GaxQzILoiSdmJgY9OrVi0+x9fb2xqZNmwrcPyMjgy+XX77809kkxPyk3duFuMChUHj48RlAVBOHmDsb1wZw63wCNi71EXfsXSScn5FvcTgiYtIZO3YsFAoFv5mQVaocM2YMgoOD893/u+++40XGiPlKf3wEsUf785o4rG69RG4ndkiElAiZXRm4ttsHuyrDkXz5G8QGvMVX1yAmknRY+eStW7dizpw50Gg08PPzQ48ePbB+/fo89799+zY2bNiAadOmGTtUUkK00f8hNuBNflOdS5t/+GAsIZZEIlPCsfFPfDZb+oPdiN7bHLrEG2KHZZKMnnRCQkL4+lw5K2/6+Pjk29IZN24cL61sZ1fwJ+PIyEheqS7rsWLFihKPnRSdNu4Kov/tCqnCla8YLbUt+ooFhJgDNiFGXf19fp7rUx8handTpD/Me/q1pWLX3axrMLsmm8R9OklJSXBwyP1Jl63XlVcd8r///ht6vZ6P/wQEsAG7/LHut7xKoxLx6JLCEPNvF0gkNnBptxsy1Stih0RIqWMVSd06H0fs4d78/HdoMA+q18ZbxSzNkSNH8gfDEo9JtHRYl1pCQu7+Tvb62RKwrBtuypQp+OGHH4wcISkJ+pSHiDnQCYIuBS5td0FuX0XskAgxGrl9ZX4jqbJ8DyT8Nxnxx/8HQZ8udlgmwehJh3Wr6XQ6hIaGZm+7cOECatWqlWs/9n5YWBiaN28OT09P9O7dGw8fPuT/ZtuJ6TKkxyDm384wpD2CS5sdsHGuI3ZIhBid1EbDV0zX1JmB1FvrEL2/Lf8wZu2MnnTYNGmWQGbOnMlbM4GBgfD398egQYNy7Ve7dm2Eh4fj/Pnz/LFy5UqUKVOG/9vLy8vYYZNCMmiTEHOoO1+nyrnlX1C4NRY7JEJEI5FIYe8zE04t/oAu9hKi9jRBRtRpWDNRpkwvW7YMqamp8PDwwIABA7B8+XLe0jl69CjvfmPYZAPWqsl6uLi48BWj2b9ZYTZiegR9Gl8Qkc1Wc26+CcqybcQOiRCTYFehN1w7HYFEIkf0vtZIubUR1koiWEgtZzZoRRMJxCMYdIg9+jbSw/3h2HQNVJUHih0SISZHnxaJuCNvIyPiCNQ1P+LrDlrqqhz5XZNpGRxSbOwO7PgT7/GE49BwESUcQvIhs3WHS7s9vCxC8pUF/P41Q0YcrAklHVL8mjhnPkTqrQ3Q+HwOdfWxYodEiEmTSG3g2GgJHBsvQ/rDA4ja3Qy6eOupbExJhxRL0sXPkXL9R6hrTIKmNq0aQUhhqaq+B9f2+yFkxCJqT1Ok3d8Da0BJh7y0pCsLkXTpK9i9Ogz2Db61ipvfCClJCg8/uHY+DpmmEmIP9UBS8ALee2DJKOmQl5JyYzUSz06BbYU+cGy8nBIOIS9JrvGGa8fDsK3wFhLPfYK4wCEQdKmwVJR0SJGl3tmC+JNjoCzXEU7N1lrs7BtCjEUqV8Op+SZofL5AWthvfFq1PuU+LBElHVIkaQ/28hrxNm5N4NxiM9WHJ6SESCQS2NeZxm+q1iVc5xVJMyKPw9JQ0iGFlhFxDLGH+0LuWBMurVlNHJXYIRFicWy9usO10zFI5GpE72+HlJu/wpJQ0iGFwmrAxxzqCZnKiy/gKVU4iR0SIRbLxqkW3DoHQeHRHPHH30P8mQ/5DdiWgJIOeSF2D0HMQVYTxwmu7fZAZushdkiEWDyp0gUubXZC/dp4pFxbgph/u/HFdM0dJR1SIH3yXUQf7Mw6nHlxKpmaFlslxFgkUjkcfBfAsckvyIg4ygvDaePyLnhpLijpkHzpUx8j+kBnCNqEzJo4Dk+rvRJCjEf16lC4tj8AQZeE6D1+SAvfAXNFSYdwW7/2Qev69jiwfy9/zdaDYlUPDSn34NLaHzbOPmKHSIhVU7g3gVvnE/zDH1vNPfHS12Z5IyklHSvHyoSPGtYXOw9dw8IRqdi4aCBGDeuNu/90gS7+KpxbboHCo5nYYRJCAMjU5eHaIQC2Ffsj6cJMxB17FwZdMswJJR0rtn/fHnRpXRftym3H3MEGlHGSYO6AOLT13I53p5/AWeEjKMu1FztMQkgOErkdnJqtg339b5B2Zwui97bkY6/mgpKOFbdufvthEFaPCodfDUOu95vXkuDXSVJs2fQTRg/vx/cnhJjWjaSaWh/BubU/9Em3M28kjTgGc0BJxwr1e7MNb9189XYcNHZ5r5nGtrNWTxtPf74/IcT02L7SGW6dAiFROCP6QAekhP4CU0dJxwp5e3ujrJO+UPuWddajYsWKpR4TIeTlyB1fg1vnQCg92yD+5PuIPzUOgkELU0VJxwp17TUYAVcKt4RNQLCK708IMV1ShROcW/nzEtgpIT8h5mBnGNKiYIoo6VihNm3aIuiGY6H2Zfux/Qkhpk0ilcGhwTdwbPorMiJPIGp3E2hjL8LUUNKxQipVZisnJb3gOf4paQJkdh7Z+xNCTJ+q8rtw7XAIgiED0XuaI/XuXzAllHSsjCEjAXFH38Eb3g8QdLXgpBN4TYJ2nd4yWmyEkJKhcGuYeSOpcx3EHemPxAtfQBByz1IVCyUdK6KNu8yb3Gnhf6Pb2x8h4Lp7gfsHXHdDl+59jBYfIaTkyFRl+dI5dpUHI+nSHMQe6Q+DNglik4sdADGOlFsbkXDyfUhsHODSbh88PZojcukxDFuRObajT7nHn2Wq8tlfo1C5omrVqqLFTAgpHonMFo5NVsLGuS4Szk5B9N7mcG71F+SaShALJR0LJ+jTkHDmQz5/n9XmcPLbyD8BMdv3BGXvF70vc7KAa4eDosVKCCmdG0nVNSZA7lQLsUff4b0dzs1/h9KzFcRA3WsWTJcUxpfIYAlHXetj3sLJSjjPYsmGEg4hlktZth0vDMfqYcUc7ITk6z+KsmAoJR0LlXZvF6J2NYIu8Savue5Qfy6vzUEIsV5y+ypw7XgMynKdkXB6IuJPjoagz3jhqvMliZKOhREMeiSen4nYgJ6QqSvArctJXnOdEEIYqcIBzq22Ql37E6TeWI3oA+157az8Vp0v6fUXKelYEH1aBGL+7Yyky1/DrspwuHU8Crn9q2KHRQgxMRKJFA715vAxXm3MOT7Os3vL0jxXnWfrL3ZtU7fEWj3U32IhMiIC+SChISOGz1ZRvTpE7JAIISbOrmI/pErKYdJ7nSAxTMDqUZLnFgFuXtOA+pXCMXfRQGz5rTW+W7wK9vb2L/0zqaVj5thAYNLVRYje3w4SuQpunY5RwiGEFNq7wyehm68WXw+VGmXVeWrpmPnqAvEn3kPa3b+g9HoTTk1WQqoo3JpqhBCSveq88znW6QZjrDpPLR0zpY29hKjdbyAt3B/2DebBucVmSjiEEJNfdZ6SjhlKubkOUXuaQdAl8WUuNDUn8RvACCHE1FedFyXpxMTEoFevXlCr1bxpt2nTpjz3W7hwISpXrgwHBweUK1cOkyZNgk6ngzWvLhB3YjTij4+Awq0R3LqcgsLDT+ywCCFmTK1WQ2rrYbRV50VJOmPHjoVCocDjx4+xceNGjBkzBsHBwc/t16NHD5w9exYJCQm4fPkyLly4gB9++AHWSMfqoO9tgdQbq6CuNRUubfdAZucpdliEEAvQtkMvBF2VGGXV+UJNJIiIiMDevXv5RT8uLg5OTk7w8fFB+/bt4elZtAtfcnIytm7dypOIRqOBn58fTy7r16/HN998k2vfV199NdcsLalUihs3bsDapN3bibigYfzfzq3+hm35bmKHRAixIF169MW8yUvRrl50gavOfzKyT+kmnatXr2LGjBk4dOgQXn/9ddSoUYMnGXZ3KksSEydOROvWrfHFF1+gZs2ahfqBISEhkMvlqFatWvY2lsAOHz6c5/6s62306NH8Z7q5uWHBggWwFoJBh8QLs5AcPA9yl/p8kT65fWWxwyKEWJhq1aohUlvZKKvOF5h0hg4dio8//ph3gSmVyufeT09Px/bt2zFixAgcP368UD8wKSmJj9Hk5OjomO8yC++88w5/hIaGYt26dShTpkye+0VGRsLX1zf79ciRI/nDXLFlKeKODUTG4wCoqvwPDg0X8mXKCSGkpLGJSCWx6vyKFSv4I+uanOfPEoy8zOi5c+fQrFkzpKSkZG9jrZeAgADs2LGjwK/9/fffsXnzZvz11/PlV1nCOXPmDCxBRsSxJ6sLxMGx8Y9QVR4kdkiEEFIk+V2TX3oiQceOHbF///6XasaxGWis5ZKFjRXVqlXrhV/Lvu7mzZuw6NUFrix8srqABm6dAinhEEIsyksnnT///BNHjx7lkwCCgp42ywozPa93796YOXMmn1QQGBgIf39/DBr0/MV15cqVfBIDc+XKFXz99ddo27Z4c8RNlSEjHrFH+iHx7BTYevXk9c1tnOuIHRYhhJhG0mHjMmwCwerVq3l3F7vvprCWLVuG1NRUeHh4YMCAAVi+fDlv6bAkxma0ZWEJqU6dOjxRdenShT/mzp0LS6ONvcBXF0i/txP2r38Hp+a/8+XHCSHE0rz02mvs4n/9+nXcuXOHvy5f/ukshxdxcXHBtm3bntvevHlzPtEgy5o1a2DpUm6uRfypDyBVuPDVBRQezcQOiRBCTC/p1K5dG/369eMrBrD7Z0jRCLpUxJ+ZyIsoKTxbw8lvAy8jSwghluylswUby6lSpQolnJfASkhH7W3OE46m9jS4tNlNCYeIJiwsDD07N+fPbKps1nTZnNsJKSnFyhj37t3Drl27SiwYa5AWvh1RuxpDn3wXzq38YV/vC0ikMrHDIlaKJZTBfVtjcIMg/nz3UWqu7UMaHOfPlHiIUbvX2KA/W7bm4sWL/MGmOF+6dAmxsbF8QgFbGocUYnWB8zOQfGU+bFwawKnFH5BrileXgpDiyEos898Jh5e7FF5u4fhg3iNMHVoD86dnbZegvFs432/dn4eKXUuFkBe2dKpXr84TCxvkX7RoEV+kk01b1uv1OHHiBCWcQtCnPkLMgY484aiqjoRrx8OUcIjoJowZhIkdMhMLw54XjtBi+ebL2Qkna/uEDnf5/oSUekuHjdmwZWp+/PFH9O/fP9e0Z/rU82Lpj48g7ui7MGjj4dh0DVSVB4odEiHc4uXreQuGtWRyJpjV49kiJU9XHA6PFLB4XwWs+3O9iNESq2npsG612bNnY9y4cWjSpAm/l4YUcnWB4PmIOdABEhsHuHUOooRDTAr70Mi6zCZv8uKJJS9sO3ufutaI0ZKOTCbDBx98wEsKsDXTWDmD7t27Iy0trcSCsDRszbTYw32QeG4abL16wa3LCdg41RY7LEKewxLJ598sx+w/8l5M9vMtzpgz/1dKOMT4s9fYuM78+fP5cjRsxen4+Hi+IkHOhTsJoI05j6hdbyD9/i44+C6AU/NNkNrYix0WIc8x6JIRvP8zfDa+G2b3z/tD5Kw+sfhsUn/cvn3b6PERy1TkKdPsZtAtW7bgyJEjOHXqVKEW6rQWKTdWI2qPHwRDGlw7/Av1a+P5kuGEmBKDNol3/f73cyWMnDAXC/+XOZaTF7Z9waAoDOz+Gq4d+xGCQW/0eIkVJR1WGprVzMkLq/jJks6cOXOstoR0ztUF4o7/D/EnRkHh4Qe3LqehcG8idliE5JFsvkPktqq863fWRh0+6iXNlXDYGM7wHyS5xnjY+x/21GHSxHGI3FEbKaErIejzvi4QUqzZa48ePeKrDrCFNlu2bMmnT9vb2/OCa6wCKKv2+c8//2DIkCGwVrrEG4g90h+62IvQ1JkOTZ0ZdLMnMSkGbSJSri9D0tWFENKjoSzXkZ+ry/zK5pq9xhLNpFU2/D6dyZtis6dNZ81eW7F4KqTxvyL+5BgkXvwC6tcmQFX1PVqclhTJC4u4sepva9euxe7du/kNoey+HGdnZ9StW5cno8GDB8PV1RViE6OIW9rdbYg7PgKQyOHUbC1sX+lk1J9PSEEMGQlIvv4jkq8ugpARA2W5TtDU/QwKt8bP3SDK7sNhiWXxuLKo4GmHxGqr+HZ2H8+ifU9nr7HLRcajQ0gKnoeMRwchsXGEqvoYqF8bR0s5kUJdkwtVOfTBgwfIyMgw6Rksxkw6gkGLxHOfIfnq97Bx9eWlCOQab6P8bEIKU5sp+dpSJF9bDCEjFspXuvCWjcKtUZ77s8TDbvxk9+3k/BvPb3uWjOgzSA6ej7S7fwEyJVSvDoW65oeQayqV6u9HLDzpLF68GJMmTeID4uybsJLSrA6OtSYdfcoDxB17l5eUVlUbDYfX50MiU5b6zyWkMFP1k68tQfK1HyBkxEH5Sjdo6k6HwtW3VH+uLiGET0xIvb2BfSKDrXc/aGp9TEUIrZzvy5ar/u6773jtm/v37/NyBp999hmsVfqjw4ja1Qja6LNwarYOjo2WUMIhojOkxyLxwheI+LsKki5+AYVHC7h1PgmX1n+XesJh5A7V4NRkBTzeDOUzNtPv7UDUPw0Qc6gn/3BGSJFaOqxqJysrzbDxnIYNGyI0NBTW1NIRBAPvRki8MAMy+6pwbvEHbJxoqjgRlyE9hrdqWOtG0CZA6fUm7OtMh41LPfHjCvkJKdeWwJAeBRv3ptDUmsK7+egWAuuR3zVZXpgVCbI4OTnxlaWt7VNkXNBwpN/fybsNHN/4iW72JKIypEcj+epiJF9fCkGbCNsKvaGp8ylsnH1gCqRKF9jX+RSaGhORcnMNkq98j9iANyF3qsWTD/s7kkhfun4kMXMv7F5j5aM9PT350jfsnhw2oeDhw4ewJFu/9kHr+vY4sH9vru2sGy1qd2OkP9wLB9+FvLonJRwiFkNaFBLOfZbZjXb5ayjLdoBb1/8yW94mknBykshVUFcfC/ee1/hitxCAuMAhiPSvgeTryyDoaDUTa/TC7jXWpXb+/Hn+OHfuHH++evUqNBoNX42AjfMsX74c5ti9xu43mjx+ODLub8eEHnos3u0MZZnWmLdoJeSPNyP+9ERIbT3g3HwTFO5vlFrshLwo2bB7bNi9NoIuGbbefTJbNma2nh/rpmbLQyVd/hbaqBOQKt2hem0c1NVGQ6p0Fjs8YkpTpp/FWjts9emsJLRkyRKYW9LZv28Pvvh0DMZ3fAC/Gobs7UevSPHDTgXGd01B23Yd4dxsHaS2bqUUNSH506dF8q6plJDlvFXAZ4XVmWb244nskqONDETS5XlIf7AbEht7XmeKTUKQqcqJHR4xxaRjigqbdLJaN9rIAEzrGQuN3fMDm0mpAr7aYgvlK50xf/FqvgoDIcaiT4tAcvACpIT8xNfxy0w2n8LGsQYsjTb2Ap9unXZnM7/J2q7yIGhqfgS5Q1WxQyPFREnnic5tG2L4GxdztW7yw1o9a07Wxe6Dp0soSkIKrjCbfGUBkkN+ZrMFYFfxbWhqfwq5Y3VYOl3iLX6zdcqNX9kNR7Ct8BY0tSbDxvV1sUMjxp69Zmm8vb1R1ulcrsqI+SnrrDfpVRiIZdCnPOSlzJNDV/ALrl3FAbxlw+5/sRZy+8pwbLSUr13IpoCzLsW0u1ugKNsOmlpToSjTkqZbW2tpA3PXtddgBFxRFWrfgGAV35+Q0lrdIv70JET4V+NrpNl594V798twavarVSWcnGR2ZeBQ/0t49LoF+/pzoYu9hJgD7RG9pxlf65BNRiDmzeqSTps2bRF0w7FQ+7L92P6ElCR9yn0+MzJiWzX+id6uYn+497gMp6araSzjCanCkS+l49HrBhwa/cjvTYo90heRO+oi5eavEPQZYodIXpLVJR22wgKbBp2SXvBQVkqaAJmdB1SqwrWKCHkRffI9xJ8a/yTZ/Ay7Su/AvccVODVZCbl9FbHDM0kSmS3U1UbCvUcwnPw28tfxx99DhH91JF1dxGsEEfNidUmHaduhF4KuFtw/HHhNgnad3jJaTMRy6ZPDEX/qA36hTAn9hc/Qcu/Jks0KPpZBXoytYGBXsR8vkOjS5h/INZWR+N/HiPj7Vb7uHLuXiZgHq0w6XXr0RcD1gmsABVx3Q5fufYwWE7E8uqQ7iD/5fmayubEaqsqD4d7zKpze+ImW/39JbDKBslwHuHY4CNeOR3il3qRLc3jyiT/zIfTJd8UOkbyA1c1eY6pVq4ZIbWUMW5E5tqNPucefZary2fsoVK6oWpX610nR6ZLCkHz5W6TcWstfq14dBk3tqZCpK4gdmkVhJeFdWm2FNu4Kn/2Xcn05f9hVGgB1zcmwcaopdogkD1Z3nw4hpUWXdBtJl79B6s11rD8IqirD+QKXMrWX2KFZBdbKYeM8qaGrIOhToPTqCU3NybSElUjoPh1CSvHGRrYAZ+qtDWzkG6pqI6Gp+TFk6qctZ1L6WEvS0fd72Nf+NLNM9/UfER3uz+/xYclfUbY93etjAqxyTIeQkqBLvIG4oBGI3F4Tqbd/g6raKHi8eR2ODRdTwhERWyvR3mdW5r0+r3/H/59i/u2KqF0NkRq2GYJB/9zXsNLcPTs358/R+9ryx7PbScmgpENIEekSQhEXNAyR22sj9c5mqKq/D483Q+DYcBFkqlfEDo88IbXR8Jo+Hj1D4NjkFwj6NF5qPnJ7LSSHrOCvGZZQBvdtjcENgvjz3UepubYPaXCcP1PiMeOkExMTg169evF7ZtiyNJs2bcq3VDYrncAW3KxUqRJ/TUhJKsonXF389cx6MDtYstkKdfUPMi9ovt/T6sgmTCJTQPXqULh3uwCnFpt5GYWEU2MR8XdVBO/7FIP7tMT8d8LRtIaUP38w7xwCL8byRMNeN6kh4c+UeMw46YwdOxYKhQKPHz/Gxo0bMWbMGAQHBz+3H5vjsG7dOl6tdM+ePVi6dCl+//13MUImFqiwn3BvXDyI2GODEbmzLlLv/g31axPg8WYoHHznQ6YqK/avQQpJIpXBrkIvuHYKgku7fZA718bkT7/BxI734eWeOdbDnheO0GL55ss80eTcPqHDXUwYM0jk38L8GX32WnJyMpydnXk9HjZ1mRk0aBBeeeUVfPPNNwV+7fjx43kiyqt+D81eI0WRlViyLizhkQImrbLB1KE1MP+P2NzbfzFg0Wg1qvuNhbrmh5DZeogdPikhoed2YOjgAVg4PC07weSFnQeTN3lh3Z+HaBHgQsrvmmz0lk5ISAjkcnl2wmF8fHzybOnkxJLN0aNHebVSQoqLfWKd2CG8UJ9wP+wlwZxdteDQ4BtKOBamav3u2LjjMj7a4MkTS14o4ZQsoyedpKQkODg45Nrm6OjIi6sVZPbs2TAYDBg2bFie70dGRvLMmvVYsWJFicZNLMvi5euxaJ9XrgsNSzCrxwu5PvGy9xfvq4AffqJuXUvFEsmcBRvw+Za8S2bP/sMWn89dRAmnENh1N+sazK7JeTH6fToajQYJCQm5trHXBVXnZGM5bGyHtXSUSmWe+7i7u1P3Gik0dgFZu/kgBvfxw4KBEXl2rdAnXOvpap358TDMfyc2zzpbs/unYdKEXlj2+Zuo0fJD2Lg3o/t98jFy5Ej+YFjiMYmWDutW0+l0CA0Nzd524cKFfLvNVq9ezcd6Dh48iPLl6d4HUjyCPh1p9/cg/sQYqP5rgYmdHmPWxrxrtLBPvnPm/0oJx4rG9vLCu17fk+L9Wf44v7EVov6pj+Try2DIyP3hmRSO0ZMOmybdu3dvzJw5k08qCAwMhL+/P59M8Cw2s+3TTz/F/v37UbkyrcZLXo4hIx6pt39H7NF38PhPT8Qe6o7UsN/xyNAAi3a54vN38/4zmNUnFjMmD6VpslY0tpfVwh3+Q+YkkiyZY3vAnO2VWLEfJJyegIi/KiDuxGhoY1glYmLSU6aXLVuG1NRUeHh4YMCAAVi+fDlv6bDuM9b9luWzzz5DdHQ0GjZsyLezx+jRo8UImZhhVc7kkJ8RfbALHm8pi7jAQch4fBi2FfvDufUOpDY8gXHfXcKCwTEFfsKl+zOsa2wvaxbjmH61eddqzu1sbG/Jmv1w73KKT7u29e6L1NubELWrEaJ2N0XKzbUQdCki/0amjxb8JBZDF38NaeHbkXbPH9qoU3ybzL4KbL16wtarB2xcG/N7NRh24ye7D4fd+JeFXVhm/SbF5wMMuRJR0FUD1p1tCv/dR0X4rYixutjYfTgssWSN4WVtZy0hlpjyGtszpMci9fYGXidJF38VEoUTL2Ghqvoe5I6vwZr55nNNpqRDzJYgGHhySbu3nScbfcJ1vt3G1ZcnGmX5HpA71shz0Lco9+nQZALLx84H1tXGWj45/5/z2/4sdhnNiDjKK8Kmhf8NGLRQlGnFF3+1Ld+Tr4pgbXwp6RBLIOgzkP74ENLD/ZEWvgOGtEeARA6FZyvYlu8B2/LdC73YZnE+4RKSH33qY6Te/JW3fvTJdyC1LQO7KsOgqjICco31nEeUdIjZYrOE0h/s4a2Z9Ae7IWgTIJGroSzXiXebKct15utpifEJl5D8sNWs0x/uQ0rICqQ/2MWaQ1C+0hmqqqOgLNcxu6vXUlHSIWZFn/IQafd2IP3edqQ/+pd3V0iV7lB6defdFcqybSCR2YodJiGFLjCXErqKly1nrXOZ2huqqv+D3atDIbPzhCWipENMHlvFOXN8hk0EOMm3yTSvPp0I4PaGxX86JJZNMGh5iz0ldAUy2IcpiRy2FXpBVXUkLzZnSTedUuVQYpoTAaLP8CSTORHgGt9u49IAGp/PeaKRO9ayqD9EYt0kUhvYeb/FH+xDVsqNlXyqddqdPyFzqA511fdgV3nwS3cXmwNq6RCjTwRg98uwac18IkDqA17imX3KY0kmcyJABbHDJMRoBF0qUu9u4TPfeAtfZgs773585puNayOz/dBFLR0i7kSAh3szJwLc35U5EUCm4oOpSpZoXukCqdJF7DAJEYVEbgdV5UH8oY05z7ve2E2nqbfWQe5cD2o27briAF4J1RJQS4eUCn3qI6Tf25GZaPhEgAxIlW5Qlu+WeQ+NZ1v+x0YIyfuDWmrYJt760cVdhsTGHnaV3uVjPzbOdWAOqKVDSp0uIfTpigCRJ1jHAWSaSlBXf58nGhu3JjQRgJBCkCocoK42mk+v1kYd59OuU26sQUrIT7Bxbwp1tVGwrdDbLGdwirL2GjEN7F4UthzMs+uK5bc9z7uwo04j4fwMRO7wQeT2mkg89wkEfRo0dWfBretZuPe8DofXv4PCw48SDiFFxMZzFO5N4dTsV5TpHQb7BvNgSItAXOAQPP6rIhLOfgJd4g2YE+pes1LP3o2/eFxZVPC0Q2K1VQXejc8nAkQcyZxxdm8HDCn3MycCeDTPvFGTLT2j8Rb1dyPE0md9Zjw6xMd+2N8hBD0UZdtBzW46Ld8NEqlpdGBR9xrJZ90xKbzcwvHBvEeZ645Nf7oeWXm3zBWWf920A2UV15EWvg3p99mKAPGAzI5PBLCtN+fJRABXsX8tQqyCRCKFsmxb/mCrqbMbTlNurELskb6Q2pXjy+2oqgwv9HJQxkYtHStU1BWWV+4FVk+UQqJ0he0rXWHr9SY/4SVylUi/ASEkJ8Gg4zNDWesn/cE+dkMQb/Wo2U2nZdvxRGUq12Qa07FCz9YQYViiWT1eeK6Y1ffbpJg3cxhc2h9EmbfuwanpKth6daeEQ4gJkUjlvHvbpc1OuPe8BnXND6GNCELMv10R6V8DScHzoU+LLNUx3sKipGOF2BgNG6vJWaTqWWz7RxvKYMPOENTpsRLKMi1Mpq+YEJI/uX1lONSfC4/et+HUbD1kqleQeG4aIv6qiNhjg5ARcYxPAsqry31wgyD+fG5dU0Tva5u9nfWMlFQxQ0o6Vsrb2xuffTIOszblfQp8vsUZX36/CZUqVTJ6bISQ4pPIlLCr9DZcO/wLt27neWE51gUXva81ov6pj+Try3gp95xjvE1rSPnzB/POIfBibPZ21hVfUlV0aUzHCmVEBCJ47xR88PVxLHxPmme5ZipeRojlMeiSkRb2R+aSOzFneYmQEUvtMKJlZIlX0aUxHQJt9H+I+bc7zm9siQ++OZlvwmHY9pL6ZEMIMQ1SuZrPbHPrchKunY/D1rsvZvVLxIK/DYUa4+W3VyxfX7wYivXVxCxo4y4j5nBfRO1+AxlRp/DFtgr46M3MEyvnCTX8h8zyzFnY++w+HlbMjBBiWRSuvnBq8gt8R9/DL0tmYtIqWYFjvCXV80FJx8KXpWEDh1E7G/DaHWyVAI83Q7F07b+5Zq+x50mrbDCmX+1ckwtK6pMNIcR0SRVOqNl2Nr5csgezN9vnO8Y7Z/6vJdLVTtORLJAu6Q6SLn3FV6mVSJVQ1/oYmpofZt/AWbGiA//EknNFgo07Mz/B1O0TVuCKBIQQyxMWFoZZU4Zj/juJbKj/ufdn9YnF5MlDqaVDni/xHH9qPCK310Dq7Y1QVX8f7m9eh0P9r55bMSBr2jQbFMx5ImVtX3u2CSUcQqxuhRJJqY/x0uw1C2BIi0JS8HdIDlnGpqdAVWUYNLWnQab2Ejs0QoiFrVCyjmavWS9DRhwSz89CxLaqSL62CHbefeDe4zIcGy+jhEMIeakVSkp7jJfGdMyQQZuElOtLkXRlAYSMONhW6AONz0zYONYQOzRCiJmp+KRL3VhjvNTSMbNa6klXFyFyWzUknp8BhXszuHU5DecWv1HCIYS8NGOO8VJLxwywGjYpN9cg6fLXvH6NwrMt7H1mQ+H+htihEUIsRMWKFfMcq8lv+8uipGPiy5WzWWhJF7+EPjmMl6l1aroWSs+WYodGCCEvhZKOiVYGTLuzBYkXv4A+4TpsXBrAofFSKMt24OVrCSHEXFHSMSFs9nr6vZ1IvDALurhLkDvWgnOLP6H06knJhhBiESjpmEiyyXh0EInnZ0IbfRoy+6q8DgZbjE8ilYkdHiGElBhKOiJjBZVYssmIOAqZugIc31gBu8qDqGAaIcQi0ZVNJBlRp3k3WsbD/ZDaesKh4WKoqozghZcIIcRSiXKfTkxMDHr16gW1Ws0rWG7atCnP/Q4dOoTWrVvD0dHRYtYA08ZeREzAW4je05QXUbJv8C083rwOdfX3KeEQQiyeKC2dsWPHQqFQ4PHjxzh//jy6du0KHx8f1KpVK9d+LCkNHz4cAwYMwNy5c2HOdPHXkXhxDtLubIbExgEan8+hfm0cpDZ5LyVOCCGWyOhJJzk5GVu3bsXly5eh0Wjg5+eHHj16YP369fjmm29y7duoUSP+OHDgAMyVLikMSZe+ROqt9ZDI7KCuPRWaGpMgVbqIHRohhFh+0gkJCYFcLke1atWyt7FWzuHDh2FJ9Cn3+QoCKTdW815M9WvjeV0bma2H2KERQoj1JJ2kpCQ4ODjk2sbGbBITWfGglxcZGcmX0s4ycuRI/jA2fVoEknmZgZ8yywxUHZFZZkD1itFjIYQQY1qxYgV/ZF2TTSLpsC61hISEXNvYa3v74o1tuLu7i1pPx5Aei6Sr3yPl2hII+lTYVRoITd3PINdUEi0mQggxppwf9nM2AkRNOqxbTafTITQ0FFWrVuXbLly48NwkAnNh0CYi+doSJF/5HoI2Hrbe/WFfdwbkjtXFDo0QQkyO0ZMOm5HWu3dvzJw5EytXruSz1/z9/REUFPTcvgaDARkZGdBqtfyu/bS0NEilUj7zzRTKDLAutOTgeTCkR0FZvgfsfWbBxrmu2KERQojJEuU+nWXLliE1NRUeHh58OvTy5ct5S+fo0aO8+y3LkSNHYGdnhy5duuDu3bv83x06dICYBH06kq8vQ4R/dSSenQK5S324dgqES6utlHAIIeQFJAJrQliA/Opx5ycsLAwTxgzipVdz3nia33ZeZuDWeiRd+gr65DtQePhB4/MFlGWal/jvQgghlnpNtsrKoSyxsBKsgxsE8Wf2Ouf2IQ2OZ29nZQZSb/+OyB11EX9iJKS27nBpswsu7f+lhEMIIUVkdWuvZSWW+e+Ew8tdCi+3cP56zvxfMWPy0CfbJSjvFo5BvRpj0QeuKKcMhdypDpxb/gVl+W5UZoAQQl6S1SUd1nU2sUNmYmHYM0s0sz5uj/nvGHJtn9glCjNWJGHrHxth690HEolVNgwJIaTEWF3SYWM1rGXDWjI5E8zq8Wxo62kLJjxSwKJdLli39TjsKlYRMWJCCLEcVvfRnU0OWPfnIUze5MUTS17Y9smbymP936dRqTIlHEIIKSlWl3SyEs8X363B51uc83yfbZ8zf63FlFMghBBTYZVJh00mmPnxMMzqE5vn+2w7m1SQNauNEEJIyZBa9+y1vGehZU0uyDmdmhBCSPFJrX32WtYYzvAfJLnGeNj7Ezrc5fsTQggpGVJrnL22aN/TSQSZkwa88Ml3+3NNLmDPi/dV4PsTQggpGVY9ey3oqoE/s9ctW7bM3n78amYiYq9pMgEhhJQcq0s6ORPPurNNcyWWrO1rzzahhEMIIaXA6m4OzcISiv/uo4XeTgghpPissqVDCCFEHJR0CCGEGA0lHUIIIUZDSYcQQojRUNIhhBBiNJR0CCGEGA0lHUIIIUZDSYcQQojRUNIhhBBiNJR0CCGEGA0lHUIIIUZDSYcQQojRUNIhhBBiNJR0CCGEGA0lHUIIIUZDSYcQQojRUNIhhBBiNJR0CCGEGA0lHUIIIUYjh5V7u3d7xEXdzX7t5FYBv/+1H9aEjgEdA4aOAR0DYxwDq0867OCuGXkr+/WwFbA6dAzoGDB0DOgYGOMYiNK9FhMTg169ekGtVsPb2xubNm3Kcz9BEDB16lS4urryB/s320YIIcQ8idLSGTt2LBQKBR4/fozz58+ja9eu8PHxQa1atXLtt2LFCmzbtg0XLlyARCJB+/btUalSJYwePVqMsAkhhJhb0klOTsbWrVtx+fJlaDQa+Pn5oUePHli/fj2++eabXPuuXbsWH330EcqXL89fs3//8ssvxUo6z/ZXauTxud5nrzu1qG7Rfbp0DOgYMHQM6BiIcQyMnnRCQkIgl8tRrVq17G2slXP48OHn9g0ODubv5dyPbSvJ/spnLRkeDYA9Mg1edA/R+9rCkkTfPYF1EzPyfZ+OAR0Dho4BHYO8jkFxx3iMnnSSkpLg4OCQa5ujoyMSExPz3Je9l3M/to2N67DutpwiIyPh6+ub/XrkyJH8QQghxDjYkAh7ZF2TTSLpsC61hISEXNvYa3t7+xfuy/7Ntj2bcBh3d3ecOXOmxOOVqcrDtcNBWBLZl6ypfKvw+9MxoGNAxyBzfzoGBcr5YT9nI0DUpMO61XQ6HUJDQ1G1alW+jU0UeHYSAcO2sfcaNWpU4H5FwfojczYPWX9lZvMx07jVrkjSOeba39LQMaBjwNAxoGMgxjEwetJh06R79+6NmTNnYuXKlXz2mr+/P4KCgp7bd/Dgwfj+++/RpUsX3rpZsGABxo0bV6yf/+wAWOYA2dMDzA7uniPXYcnoGNAxYOgY0DEQ4xiIcp/OsmXLkJqaCg8PDwwYMADLly/nLZijR4/y7rMso0aNQvfu3VGnTh3Url2bT61m2wghhJgnUe7TcXFx4fffPKt58+Z8okAW1rqZN28efxBCCDF/Vr8MzrP9mZbYZ/sidAzoGDB0DOgYGOMYSAQLWVeGzZQojdlrhBBCSu6aTKUNCCGEGA0lnSeybmgyVaYeH0MxWn585hCjqcdn7TFS0jGTk8DU42MoRsuPzxxiNPX4rD1GSjqEEEKMxmImEri5uaFixYov/fVsnSC2lI6pMvX4GIrR8uMzhxhNPT5riTEsLAxRUVGWm3QIIYSYPupeI4QQYjSUdAghhBgNJR1CCCFGY7FJZ+nSpfyOWKVSiaFDhxa478KFC+Hp6cmLyw0fPhzp6em5BsNat24NlUqF1157DQcOHDB6jKxs9+uvv87jY6W7p0yZwstDZGnVqhVsbW35YqnsUb16daPG9+uvv0Imk2X/fPYICAgwqWPISpznjI/tn7OGU2kdQ3YujRgxAt7e3vzn1atXD7t37zaZc7Eo8Yl1HhYlRrHOxaLEOFqkc3HgwIEoW7Ys//9jJWbYKv+inIeChdq6davw999/C6NHjxaGDBmS73579uwRPDw8hMuXLwsxMTFCy5YthalTp2a//8YbbwiTJk0SUlJShC1btgiOjo5CRESEUWNctmyZcOTIESE9PV24d++e0KBBA+Hrr7/Ofp/F/Msvv5RITC8T35o1a4RmzZrl+74pHMNnsX2HDRtW6scwKSlJmDVrlnD79m1Br9cLO3bsEDQaDX9tCudiUeIT6zwsSoxinYtFiVGsc5GdV2lpafzfV69eFcqUKSOcOXPG6OehxSadLNOnTy/wYjRgwABh2rRp2a8PHDjA/zOY69evCwqFQkhISMh+38/PT1i+fLlRY3zWggULhG7dupX6SVrY+Ar6QzfFY8guEOyCEBAQYLRjmFOdOnX4H6spnosFxSf2eViYGE3hXHxRjKZwLl67dk3w9PQU/vjjD6OfhxbbvVZYwcHB8PHxyX7N/v348WNER0fz9ypXrpyr6cveZ9vFdOTIkecqqE6bNo3fq9SsWbNc3QnGcu7cOf7zWbN9zpw52d0upngMt27dyu8/aNGihdGPITu3QkJC8qyAawrnYkHxmcp5+KIYTeFcLOxx3Grkc/H999/P7hZjXW2sQKaxz0OrTzqsfo+j49NSrFn/TkxMfO69rPfZe2JZvXo1X7l18uTJ2du+/fZb3Lp1C/fv3+f1yVnhu5s3bxotJvYHc/nyZURERPA/ot9++w3fffcdf88UjyEbm2BVaVm9JmMeQ61Wi3fffRdDhgzhf/Smdi6+KD5TOA9fFKMpnItFOY5rjXwusgKa7PdlBTNZBWc2nmTs89Dqkw4bqEtISMh+nfVvlsmffS/r/ZxZ3phY4Tv2CYgNULJPQVkaN27MY2InEDvR2aejXbt2GS0u9smnUqVKkEqlvMorK0W+ZcsW/p6pHcO7d+/yT47sDz2n0j6GBoMBgwYNgkKh4JMfTO1cLEx8Yp+HhYlR7HOxKMfxrkjnIpto4efnh3v37vGqzcY+D60+6bDm74ULF7Jfs3+XKVMGrq6u/D32iSNnFmfvF6broaTt2bMH7733Hnbs2MH/mArCPjWJudBEzp9vSseQWb9+Pf8jZhcnYx1D9n3YzCbWRcE+fdvY2JjUuVjY+MQ8D4sSo1jnYlFjXC/CuZgT63bMqwVV6uehYKG0Wq2QmpoqfPLJJ8LAgQP5v9m2Z+3evZsPkgUHBwuxsbFC69atc83UaNy4sfDRRx/xr//rr79KdOZVYWM8ePCg4OLiIhw+fPi591jMbLZJ1tdu2LBBUKlUfMDPWPHt2rVLePToUfasmFq1agmzZ882qWOYpVq1asKqVauMdgyZUaNG8WOQmJhY4H5inYuFjU+s87AoMYp5LhY2RjHOxcePHwu//fYbj02n0/Gfwb6vv7+/0c9Di006bPoiy6k5H2zbnTt3BLVazZ9zzsJhUwTt7e2FoUOHZk8rZNiURzabxNbWlp8k+/fvN3qMrVq1EmQyGd+W9ejUqRN/j/1n+/r68hkw7D+fnRD79u0zanzsBGTHj53ElSpVEmbMmCFkZGSY1DFkgoKCeIw5Z96U9jEMCwvjMSmVylz/f+xiYgrnYlHiE+s8LEqMYp2LRf1/DjLyuci+b4sWLfj3ZOdW7dq1hRUrVvD3jH0e0oKfhBBCjMbqx3QIIYQYDyUdQgghRkNJhxBCiNFQ0iGEEGI0lHQIIYQYDSUdQgghRkNJhxBCiNFQ0iFERF5eXjh79qzYYRBiNHRzKCEiiY2N5QtmspV77ezsxA6HEKOglg4hIrl06RIqVqxICYdYFUo6hIjk4sWLqFKlCsaPH88LeZUrVw779+8XOyxCShUlHUJEbOmwQmhdu3bly+GPGjWKF/AixJJR0iFExJbO9OnT0bFjR150rGbNmtnv9evXj9daadWqFX9cu3ZN1FgJKSnyEvtOhJBCY/N3WFnldevWZW9jr7MST0hICG8FyeX0J0osC7V0CBHB7du3+TMb08ly7tw51KtXDxkZGbzsMSUcYoko6RAiUtcaK/fMShHnTDo+Pj68K+3hw4fZXWsLFiwQNVZCShJ9lCJEpEkELMFkiYqKwqNHj1C7dm1s3boVH3zwAWbNmiVqjISUBko6hIhgxowZuV6zm0S1Wm322E7Dhg1FioyQ0kUrEhBiYnr06IH79+/D3t6ev/7xxx9Rq1YtscMipERQ0iGEEGI0NJGAEEKI0VDSIYQQYjSUdAghhBgNJR1CCCFGQ0mHEEKI0VDSIYQQYjSUdAghhBgNJR1CCCFGQ0mHEEIIjOX/FkOuDwwffEEAAAAASUVORK5CYII=", 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" ] diff --git a/recirq/lgt_strings/lgt_experiment.py b/recirq/lattice_gauge/lattice_gauge_experiment.py similarity index 57% rename from recirq/lgt_strings/lgt_experiment.py rename to recirq/lattice_gauge/lattice_gauge_experiment.py index a7f567de..7a09cbfc 100644 --- a/recirq/lgt_strings/lgt_experiment.py +++ b/recirq/lattice_gauge/lattice_gauge_experiment.py @@ -1,4 +1,18 @@ -from collections.abc import Iterator, Sequence +# Copyright 2025 Google +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from collections.abc import Sequence from typing import Any import cirq @@ -8,471 +22,7 @@ import numpy as np import sympy -class LGTGrid: - """Representation of rectangular grid of qubits for lattice gauge theory experiments. - - This grid of qubits is analagous to the X-type/Z-type Toric Code with the boundary chosen - such that all boundary stabilizers are Z-type. The origin_qubit is chosen to be an ancillary - qubit for an X-type plaquette closest to a corner. The other qubits are chosen based on the - orientation vector, which is drawn from the origin_qubit away from the corner to the adjacent - 'bulk' ancillary qubit for a Z-type plaquette. - """ - - def __init__( - self, - origin_qubit: cirq.GridQubit, - orientation_vector: tuple[int, int], - rows: int, - cols: int, - flip_rowcol: bool = False, - ): - """ - - Args: - origin_qubit: ancillary qubit for an X-type plaquette closest to a corner - orientation_vector: vector drawn from origin_qubit to the ancillary qubit of the adjacent 'bulk' - Z-type plaquette - rows: number of rows of X-type stabilizers - cols: number of columns of X-type stabilizers - flip_rowcol: chooses whether to transpose row and columns code - """ - if np.any(np.abs(orientation_vector) != np.array([1, 1])): - raise ValueError( - f"Inconsistent orientation_vector={orientation_vector}: must be (±1, ±1)" - ) - - if rows < 1 or cols < 1: - raise ValueError(f"rows ({rows}) and cols ({cols}) must both be at least 1") - - self.origin_qubit = origin_qubit - self.orientation_vector = orientation_vector - self.row_vector = np.array([2 * orientation_vector[0], 0], dtype=int) - self.col_vector = np.array([0, 2 * orientation_vector[1]], dtype=int) - self.rows = rows - self.cols = cols - self.flip_rowcol = flip_rowcol - - @property - def physical_qubits(self) -> set[cirq.GridQubit]: - """Set of physical gauge qubits at the corners of Z and X plaquettes.""" - return sorted( - self.u_set(self.x_ancillary_qubits) - .union(self.r_set(self.x_ancillary_qubits)) - .union(self.d_set(self.x_ancillary_qubits)) - .union(self.l_set(self.x_ancillary_qubits)) - ) - - @property - def x_ancillary_qubits(self) -> set[cirq.GridQubit]: - return {self.x_plaquette_to_x_ancilla(row, col) for row, col in self.x_plaquette_indices} - - @property - def z_ancillary_l_side_qubits(self) -> set[cirq.GridQubit]: - return {self.z_plaquette_to_z_ancilla(row, 0) for row in range(0, self.rows + 1)} - - @property - def z_ancillary_dl_corner_qubits(self) -> set[cirq.GridQubit]: - return {self.z_plaquette_to_z_ancilla(self.rows, 0)} - - @property - def z_even_col_ancillary_qubits(self) -> set[cirq.GridQubit]: - return { - self.z_plaquette_to_z_ancilla(row, col) - for row, col in self.z_plaquette_even_col_indices - } - - @property - def z_ancillary_d_side_qubits(self) -> set[cirq.GridQubit]: - return {self.z_plaquette_to_z_ancilla(self.rows, col) for col in range(0, self.cols + 1)} - - @property - def z_ancillary_ul_corner_qubits(self) -> set[cirq.GridQubit]: - return {self.z_plaquette_to_z_ancilla(0, 0)} - - @property - def z_ancillary_u_side_qubits(self) -> set[cirq.GridQubit]: - return {self.z_plaquette_to_z_ancilla(0, col) for col in range(0, self.cols + 1)} - - @property - def z_ancillary_r_side_qubits(self) -> set[cirq.GridQubit]: - return {self.z_plaquette_to_z_ancilla(row, self.cols) for row in range(0, self.rows + 1)} - - @property - def z_ancillary_ur_corner_qubits(self) -> set[cirq.GridQubit]: - return {self.z_plaquette_to_z_ancilla(0, self.cols)} - - @property - def z_odd_col_ancillary_qubits(self) -> set[cirq.GridQubit]: - return { - self.z_plaquette_to_z_ancilla(row, col) for row, col in self.z_plaquette_odd_col_indices - } - - @property - def x_ancillary_qubits_by_col(self) -> list[set[cirq.GridQubit]]: - return [ - {self.x_plaquette_to_x_ancilla(row, col) for row in range(self.rows)} - for col in range(self.cols) - ] - - @property - def z_ancillary_dr_corner_qubits(self) -> set[cirq.GridQubit]: - return {self.z_plaquette_to_z_ancilla(self.rows, self.cols)} - - @property - def x_even_col_ancillary_qubits(self) -> set[cirq.GridQubit]: - return { - self.x_plaquette_to_x_ancilla(row, col) - for row, col in self.x_plaquette_even_col_indices - } - - @property - def x_odd_col_ancillary_qubits(self) -> set[cirq.GridQubit]: - return { - self.x_plaquette_to_x_ancilla(row, col) for row, col in self.x_plaquette_odd_col_indices - } - - @property - def x_plaquette_indices(self) -> Iterator[tuple[int, int]]: - for row in range(self.rows): - for col in range(self.cols): - yield row, col - - @property - def z_plaquette_indices(self) -> Iterator[tuple[int, int]]: - for row in range(self.rows + 1): - for col in range(self.cols + 1): - yield row, col - - @property - def z_plaquette_even_col_indices(self) -> Iterator[tuple[int, int]]: - for row in range(self.rows + 1): - for col in range(0, self.cols + 1, 2): - yield row, col - - @property - def z_plaquette_odd_col_indices(self) -> Iterator[tuple[int, int]]: - for row in range(self.rows + 1): - for col in range(1, self.cols + 1, 2): - yield row, col - - @property - def x_plaquette_even_col_indices(self) -> Iterator[tuple[int, int]]: - for row in range(self.rows): - for col in range(0, self.cols, 2): - yield row, col - - @property - def x_plaquette_odd_col_indices(self) -> Iterator[tuple[int, int]]: - for row in range(self.rows): - for col in range(1, self.cols, 2): - yield row, col - - def q_displaced(self, qubit: cirq.GridQubit, displacement: np.ndarray) -> cirq.GridQubit: - """Helper to return a `GridQubit` displaced by a fixed x/y. - - Args: - displacement: numpy array with row/column displacement. - - Returns: - `cirq.GridQubit` that is displaced by a fixed amount of rows/columns - """ - if self.flip_rowcol is False: - return qubit + (int(round(displacement[0])), int(round(displacement[1]))) - else: - return qubit + (int(round(displacement[1])), int(round(displacement[0]))) - - def u_set(self, qubit_set: set[cirq.GridQubit]): - """Ouputs a set of qubits translated up from the input set.""" - return {self.q_displaced(qubit, -self.row_vector / 2) for qubit in qubit_set} - - def r_set(self, qubit_set: set[cirq.GridQubit]): - """Ouputs a set of qubits translated right from the input set.""" - return {self.q_displaced(qubit, self.col_vector / 2) for qubit in qubit_set} - - def d_set(self, qubit_set: set[cirq.GridQubit]): - """Ouputs a set of qubits translated down from the input set.""" - return {self.q_displaced(qubit, self.row_vector / 2) for qubit in qubit_set} - - def l_set(self, qubit_set: set[cirq.GridQubit]): - """Ouputs a set of qubits translated left from the input set.""" - return {self.q_displaced(qubit, -self.col_vector / 2) for qubit in qubit_set} - - def ancillary_to_pair( - self, a_set: set[cirq.GridQubit], qubit1_relationship: str, qubit2_relationship: str - ) -> set[tuple[cirq.GridQubit, cirq.GridQubit]]: - """Generates a pair of qubits for each qubit in a_set based on nearest neighbor - relationships. - - Args: - a_set: set of input qubits, usually ancillary qubits of a set of plaquettes. - qubit1_relationship: either "a", "u", "r", "d", or "l". indicated that the first qubit in each pair will either - be qubits in a_set ("a"), or the qubits that are up ("u"), right ("r"), down ("d"), or left ("l") from - the qubits in a_set. - qubit2_relationship: ... same but the second qubit in each pair. - """ - if qubit1_relationship == "a": - if qubit2_relationship == "u": - return {(qubit, self.q_displaced(qubit, -self.row_vector / 2)) for qubit in a_set} - elif qubit2_relationship == "r": - return {(qubit, self.q_displaced(qubit, self.col_vector / 2)) for qubit in a_set} - elif qubit2_relationship == "d": - return {(qubit, self.q_displaced(qubit, self.row_vector / 2)) for qubit in a_set} - elif qubit2_relationship == "l": - return {(qubit, self.q_displaced(qubit, -self.col_vector / 2)) for qubit in a_set} - else: - raise ValueError( - f"error in input values {qubit1_relationship} or {qubit2_relationship}" - ) - elif qubit1_relationship == "u": - if qubit2_relationship == "a": - return {(self.q_displaced(qubit, -self.row_vector / 2), qubit) for qubit in a_set} - elif qubit2_relationship == "r": - return { - ( - self.q_displaced(qubit, -self.row_vector / 2), - self.q_displaced(qubit, self.col_vector / 2), - ) - for qubit in a_set - } - elif qubit2_relationship == "d": - return { - ( - self.q_displaced(qubit, -self.row_vector / 2), - self.q_displaced(qubit, self.row_vector / 2), - ) - for qubit in a_set - } - elif qubit2_relationship == "l": - return { - ( - self.q_displaced(qubit, -self.row_vector / 2), - self.q_displaced(qubit, -self.col_vector / 2), - ) - for qubit in a_set - } - else: - raise ValueError( - f"error in input values {qubit1_relationship} or {qubit2_relationship}" - ) - elif qubit1_relationship == "r": - if qubit2_relationship == "a": - return {(self.q_displaced(qubit, self.col_vector / 2), qubit) for qubit in a_set} - elif qubit2_relationship == "u": - return { - ( - self.q_displaced(qubit, self.col_vector / 2), - self.q_displaced(qubit, -self.row_vector / 2), - ) - for qubit in a_set - } - elif qubit2_relationship == "d": - return { - ( - self.q_displaced(qubit, self.col_vector / 2), - self.q_displaced(qubit, self.row_vector / 2), - ) - for qubit in a_set - } - elif qubit2_relationship == "l": - return { - ( - self.q_displaced(qubit, self.col_vector / 2), - self.q_displaced(qubit, -self.col_vector / 2), - ) - for qubit in a_set - } - else: - raise ValueError( - f"error in input values {qubit1_relationship} or {qubit2_relationship}" - ) - elif qubit1_relationship == "d": - if qubit2_relationship == "a": - return {(self.q_displaced(qubit, self.row_vector / 2), qubit) for qubit in a_set} - elif qubit2_relationship == "u": - return { - ( - self.q_displaced(qubit, self.row_vector / 2), - self.q_displaced(qubit, -self.row_vector / 2), - ) - for qubit in a_set - } - elif qubit2_relationship == "r": - return { - ( - self.q_displaced(qubit, self.row_vector / 2), - self.q_displaced(qubit, self.col_vector / 2), - ) - for qubit in a_set - } - elif qubit2_relationship == "l": - return { - ( - self.q_displaced(qubit, self.row_vector / 2), - self.q_displaced(qubit, -self.col_vector / 2), - ) - for qubit in a_set - } - else: - raise ValueError( - f"error in input values {qubit1_relationship} or {qubit2_relationship}" - ) - elif qubit1_relationship == "l": - if qubit2_relationship == "a": - return {(self.q_displaced(qubit, -self.col_vector / 2), qubit) for qubit in a_set} - elif qubit2_relationship == "u": - return { - ( - self.q_displaced(qubit, -self.col_vector / 2), - self.q_displaced(qubit, -self.row_vector / 2), - ) - for qubit in a_set - } - elif qubit2_relationship == "r": - return { - ( - self.q_displaced(qubit, -self.col_vector / 2), - self.q_displaced(qubit, self.col_vector / 2), - ) - for qubit in a_set - } - elif qubit2_relationship == "d": - return { - ( - self.q_displaced(qubit, -self.col_vector / 2), - self.q_displaced(qubit, self.row_vector / 2), - ) - for qubit in a_set - } - else: - raise ValueError( - f"error in input values {qubit1_relationship} or {qubit2_relationship}" - ) - else: - raise ValueError( - f"error in input values {qubit1_relationship} or {qubit2_relationship}" - ) - - def z_plaquette_to_physical_qubit_indices(self, row: int, col: int): - """Outputs the indices of all physical qubits within the sorted list of all physical - qubits.""" - return [ - sorted(list(self.physical_qubits)).index(qubit) - for qubit in self.z_plaquette_to_physical_qubits(row, col).values() - ] - - def x_plaquette_to_physical_qubit_indices(self, row: int, col: int): - """Outputs the indices of all physical qubits within the sorted list of all physical - qubits.""" - return [ - sorted(list(self.physical_qubits)).index(qubit) - for qubit in self.x_plaquette_to_physical_qubits(row, col).values() - ] - - def z_plaquette_to_physical_qubits(self, row: int, col: int) -> dict[str : cirq.GridQubit]: - """Outputs all the physical qubits that constitute the Z plaquette at indices (row, col). - - Interior Z plaquettes are made up of 4 qubits. While plaquettes on the edge are only comprised - of 3 qubits. Corner plaquettes just have 2 qubits. - """ - u_displacement = ( - (row - 0.5) * self.row_vector + (col - 0.5) * self.col_vector - self.row_vector / 2 - ) - r_displacement = ( - (row - 0.5) * self.row_vector + (col - 0.5) * self.col_vector + self.col_vector / 2 - ) - d_displacement = ( - (row - 0.5) * self.row_vector + (col - 0.5) * self.col_vector + self.row_vector / 2 - ) - l_displacement = ( - (row - 0.5) * self.row_vector + (col - 0.5) * self.col_vector - self.col_vector / 2 - ) - if row == 0 and col == 0: - return { - "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), - "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), - } - elif row == 0 and col == self.cols: - return { - "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), - "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), - } - elif row == self.rows and col == 0: - return { - "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), - "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), - } - elif row == self.rows and col == self.cols: - return { - "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), - "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), - } - elif row == 0: - return { - "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), - "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), - "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), - } - elif col == 0: - return { - "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), - "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), - "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), - } - elif row == self.rows: - return { - "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), - "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), - "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), - } - elif col == self.cols: - return { - "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), - "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), - "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), - } - else: - return { - "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), - "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), - "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), - "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), - } - - def x_plaquette_to_physical_qubits(self, row: int, col: int) -> dict[str : cirq.GridQubit]: - """Outputs all the physical qubits that constitute the X plaquette at indices (row, col). - - In current construction, all X plaquettes are on the interior, so thus have 4 qubits. - """ - u_displacement = (row) * self.row_vector + (col) * self.col_vector - self.row_vector / 2 - r_displacement = (row) * self.row_vector + (col) * self.col_vector + self.col_vector / 2 - d_displacement = (row) * self.row_vector + (col) * self.col_vector + self.row_vector / 2 - l_displacement = (row) * self.row_vector + (col) * self.col_vector - self.col_vector / 2 - return { - "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), - "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), - "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), - "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), - } - - def x_plaquette_to_x_ancilla(self, row: int, col: int) -> cirq.GridQubit: - """This displacement is counting from the upper left X plaquette. - - Args: - row: plaquette row, row 0 is on top with increasing rows going down. - col: plaquette column, column 0 is on the left and increasing to the left. - """ - displacement = row * self.row_vector + col * self.col_vector - return self.q_displaced(self.origin_qubit, displacement) - - def z_plaquette_to_z_ancilla(self, row: int, col: int) -> cirq.GridQubit: - """This displacement is counting from the upper left Z plaquette. - - Args: - row: plaquette row, row 0 is on top with increasing rows going down. - col: plaquette column, column 0 is on the left and increasing to the left. - """ - displacement = (row - 1 / 2) * self.row_vector + (col - 1 / 2) * self.col_vector - return self.q_displaced(self.origin_qubit, displacement) +from .lattice_gauge_grid import QubitNeighbor, LGTGrid def variational_ground_state_minimal_qubits_cols( grid: LGTGrid, x_ancillary_qubits_in_cols: list[set[cirq.GridQubit]], theta: float @@ -495,17 +45,17 @@ def variational_ground_state_minimal_qubits_cols( return [ cirq.Moment(cirq.Ry(rads=theta).on_each(grid.u_set(x_ancillary_qubits_all))), - *cnot_on_layer(pairs_list=grid.ancillary_to_pair(x_ancillary_qubits_all, "u", "l")), - *cnot_on_layer(pairs_list=grid.ancillary_to_pair(x_ancillary_qubits_all, "u", "r")), + *cnot_on_layer(pairs_list=grid.ancillary_to_pair(x_ancillary_qubits_all, QubitNeighbor.U, QubitNeighbor.L)), + *cnot_on_layer(pairs_list=grid.ancillary_to_pair(x_ancillary_qubits_all, QubitNeighbor.U, QubitNeighbor.R)), *cirq.Circuit.zip( cirq.Circuit.from_moments( *cnot_on_layer( - pairs_list=grid.ancillary_to_pair(x_ancillary_qubits_in_cols[0], "l", "d") + pairs_list=grid.ancillary_to_pair(x_ancillary_qubits_in_cols[0], QubitNeighbor.L, QubitNeighbor.D) ) ), cirq.Circuit.from_moments( *cnot_on_layer( - pairs_list=grid.ancillary_to_pair(x_ancillary_qubits_in_cols[1], "r", "d") + pairs_list=grid.ancillary_to_pair(x_ancillary_qubits_in_cols[1], QubitNeighbor.R, QubitNeighbor.D) ) ), ).moments, @@ -576,10 +126,16 @@ def variational_ground_state_minimal_qubits( def trotter_even_zcol_entangle_minimal_qubits( grid: LGTGrid, extra_z_plaquette_indices: list[tuple[int, int]] = [] -): - """Minimal qubits need not obey device connectivity, used for simulation. +) -> list[cirq.Moment]: + """Portion of Trotter step acting on the even columns of Z-plaquettes. + + Computing with minimal qubits necceitates that the connectivity of the qubits is not consistent + with the square nearest neighbor lattice. This is used for simulation purposes. It also means + that the Trotterization must be sequentially applied to the even and odd colums of the Z- and + X-plaquettes respectively. Args: + grid: grid of qubits to be used. extra_plaquette_indices: Can specify extra plaquettes to include in the Trotterization. By default all 4 qubits around the extra plaquettes will be included. """ @@ -595,8 +151,8 @@ def trotter_even_zcol_entangle_minimal_qubits( grid.z_ancillary_l_side_qubits - grid.z_ancillary_dl_corner_qubits - extra_z_plaquette_ancillary_qubit, - "d", - "r", + QubitNeighbor.D, + QubitNeighbor.R, ).union( grid.ancillary_to_pair( ( @@ -604,8 +160,8 @@ def trotter_even_zcol_entangle_minimal_qubits( - grid.z_ancillary_l_side_qubits - grid.z_ancillary_d_side_qubits ).union(extra_z_plaquette_ancillary_qubit), - "d", - "l", + QubitNeighbor.D, + QubitNeighbor.L, ) ) ), @@ -615,12 +171,12 @@ def trotter_even_zcol_entangle_minimal_qubits( - grid.z_ancillary_ul_corner_qubits - grid.z_ancillary_dl_corner_qubits - extra_z_plaquette_ancillary_qubit, - "r", - "u", + QubitNeighbor.R, + QubitNeighbor.U, ) .union( grid.ancillary_to_pair( - grid.z_ancillary_dl_corner_qubits - extra_z_plaquette_ancillary_qubit, "r", "u" + grid.z_ancillary_dl_corner_qubits - extra_z_plaquette_ancillary_qubit, QubitNeighbor.R, QubitNeighbor.U ) ) .union( @@ -630,8 +186,8 @@ def trotter_even_zcol_entangle_minimal_qubits( - grid.z_ancillary_l_side_qubits - grid.z_ancillary_u_side_qubits ).union(extra_z_plaquette_ancillary_qubit), - "l", - "u", + QubitNeighbor.L, + QubitNeighbor.U, ) ) .union( @@ -640,8 +196,8 @@ def trotter_even_zcol_entangle_minimal_qubits( - grid.z_ancillary_l_side_qubits - grid.z_ancillary_r_side_qubits - extra_z_plaquette_ancillary_qubit, - "l", - "r", + QubitNeighbor.L, + QubitNeighbor.R, ) ) ), @@ -653,8 +209,8 @@ def trotter_even_zcol_entangle_minimal_qubits( - grid.z_ancillary_u_side_qubits - grid.z_ancillary_r_side_qubits ).union(extra_z_plaquette_ancillary_qubit), - "r", - "u", + QubitNeighbor.R, + QubitNeighbor.U, ) ), ] @@ -662,10 +218,16 @@ def trotter_even_zcol_entangle_minimal_qubits( def trotter_odd_zcol_entangle_minimal_qubits( grid: LGTGrid, extra_z_plaquette_indices: list[tuple[int, int]] = [] -): - """Minimal qubits need not obey device connectivity, used for simulation. +) -> list[cirq.Moment]: + """Portion of Trotter step acting on the odd columns of Z-plaquettes. + + Computing with minimal qubits necceitates that the connectivity of the qubits is not consistent + with the square nearest neighbor lattice. This is used for simulation purposes. It also means + that the Trotterization must be sequentially applied to the even and odd colums of the Z- and + X-plaquettes respectively. Args: + grid: grid of qubits to be used. extra_plaquette_indices: Can specify extra plaquettes to include in the Trotterization. By default all 4 qubits around the extra plaquettes will be included. """ @@ -681,8 +243,8 @@ def trotter_odd_zcol_entangle_minimal_qubits( (grid.z_odd_col_ancillary_qubits - grid.z_ancillary_d_side_qubits).union( extra_z_plaquette_ancillary_qubit ), - "d", - "l", + QubitNeighbor.D, + QubitNeighbor.L, ) ), *cnot_on_layer( @@ -692,24 +254,24 @@ def trotter_odd_zcol_entangle_minimal_qubits( - grid.z_ancillary_u_side_qubits - grid.z_ancillary_dr_corner_qubits ).union(extra_z_plaquette_ancillary_qubit), - "l", - "u", + QubitNeighbor.L, + QubitNeighbor.U, ) .union( grid.ancillary_to_pair( grid.z_ancillary_u_side_qubits.intersection(grid.z_odd_col_ancillary_qubits) - grid.z_ancillary_r_side_qubits - extra_z_plaquette_ancillary_qubit, - "l", - "r", + QubitNeighbor.L, + QubitNeighbor.R, ) ) .union( grid.ancillary_to_pair( grid.z_ancillary_dr_corner_qubits.intersection(grid.z_odd_col_ancillary_qubits) - extra_z_plaquette_ancillary_qubit, - "u", - "l", + QubitNeighbor.U, + QubitNeighbor.L, ) ) ), @@ -720,18 +282,24 @@ def trotter_odd_zcol_entangle_minimal_qubits( - grid.z_ancillary_u_side_qubits - grid.z_ancillary_r_side_qubits ).union(extra_z_plaquette_ancillary_qubit), - "r", - "u", + QubitNeighbor.R, + QubitNeighbor.U, ) ), ] def trotter_even_xcol_entangle_minimal_qubits( grid: LGTGrid, extra_plaquette_indices: list[tuple[int, int]] = [] -): - """Minimal qubits need not obey device connectivity, used for simulation. +) ->list[cirq.Moment]: + """Portion of Trotter step acting on the even columns of X-plaquettes. + + Computing with minimal qubits necceitates that the connectivity of the qubits is not consistent + with the square nearest neighbor lattice. This is used for simulation purposes. It also means + that the Trotterization must be sequentially applied to the even and odd colums of the Z- and + X-plaquettes respectively. Args: + grid: grid of qubits to be used. extra_plaquette_indices: Can specify extra plaquettes to include in the Trotterization. By default all 4 qubits around the extra plaquettes will be included. """ @@ -746,18 +314,24 @@ def trotter_even_xcol_entangle_minimal_qubits( ) return [ - *cnot_on_layer(pairs_list=grid.ancillary_to_pair(ancilla_qubits, "d", "l")), - *cnot_on_layer(pairs_list=grid.ancillary_to_pair(ancilla_qubits, "l", "u")), - *cnot_on_layer(pairs_list=grid.ancillary_to_pair(ancilla_qubits, "r", "u")), + *cnot_on_layer(pairs_list=grid.ancillary_to_pair(ancilla_qubits, QubitNeighbor.D, QubitNeighbor.L)), + *cnot_on_layer(pairs_list=grid.ancillary_to_pair(ancilla_qubits, QubitNeighbor.L, QubitNeighbor.U)), + *cnot_on_layer(pairs_list=grid.ancillary_to_pair(ancilla_qubits, QubitNeighbor.R, QubitNeighbor.U)), ] def trotter_odd_xcol_entangle_minimal_qubits( grid: LGTGrid, extra_plaquette_indices: list[tuple[int, int]] = [] -): - """Minimal qubits need not obey device connectivity, used for simulation. +) -> list[cirq.Moment]: + """Portion of Trotter step acting on the odd columns of X-plaquettes. + + Computing with minimal qubits necceitates that the connectivity of the qubits is not consistent + with the square nearest neighbor lattice. This is used for simulation purposes. It also means + that the Trotterization must be sequentially applied to the even and odd colums of the Z- and + X-plaquettes respectively. Args: + grid: grid of qubits to be used. extra_plaquette_indices: Can specify extra plaquettes to include in the Trotterization. By default all 4 qubits around the extra plaquettes will be included. """ @@ -772,9 +346,9 @@ def trotter_odd_xcol_entangle_minimal_qubits( ) return [ - *cnot_on_layer(pairs_list=grid.ancillary_to_pair(ancilla_qubits, "d", "l")), - *cnot_on_layer(pairs_list=grid.ancillary_to_pair(ancilla_qubits, "l", "u")), - *cnot_on_layer(pairs_list=grid.ancillary_to_pair(ancilla_qubits, "r", "u")), + *cnot_on_layer(pairs_list=grid.ancillary_to_pair(ancilla_qubits, QubitNeighbor.D, QubitNeighbor.L)), + *cnot_on_layer(pairs_list=grid.ancillary_to_pair(ancilla_qubits, QubitNeighbor.L, QubitNeighbor.U)), + *cnot_on_layer(pairs_list=grid.ancillary_to_pair(ancilla_qubits, QubitNeighbor.R, QubitNeighbor.U)), ] def trotter_step_minimal_qubits( @@ -786,7 +360,7 @@ def trotter_step_minimal_qubits( jm: sympy.Symbol = 1, extra_z_plaquette_indices: list[tuple[int, int]] = [], extra_x_plaquette_indices: list[tuple[int, int]] = [], -): +) -> list[cirq.Moment]: """Generate moments to simulate a full Trotter step of the lattice gauge theory Hamiltonian. Hamiltonian can be seen at, for example, https://arxiv.org/abs/0912.3272 equation (1.2) @@ -1056,6 +630,14 @@ def cnot_on_layer( def excitation_sep_plaquette_input( plaq_data: np.ndarray, plaq_rows: int = 3, plaq_cols: int = 2 ) -> np.ndarray: + """Computes the distance between two charge excitations based on a Manhattan metric. + + Args: + plaq_data: array where the 0 axis indexes the shot and the 1 axis indexes the Z-plaquette. + The values correspond to the Z-plaquette expectation values. + plaq_rows: number of rows in the grid of Z-plaquettes. + plaq_cols: number of columns in the grid of Z-plaquettes. + """ mat1 = np.zeros((plaq_rows * plaq_cols, plaq_rows * plaq_cols)) mat1[:] = np.arange(np.shape(mat1)[1]) % plaq_cols mat1 = np.transpose(mat1) diff --git a/recirq/lgt_strings/lgt_experiment_test.py b/recirq/lattice_gauge/lattice_gauge_experiment_test.py similarity index 72% rename from recirq/lgt_strings/lgt_experiment_test.py rename to recirq/lattice_gauge/lattice_gauge_experiment_test.py index 9da5033f..6b6cca6a 100644 --- a/recirq/lgt_strings/lgt_experiment_test.py +++ b/recirq/lattice_gauge/lattice_gauge_experiment_test.py @@ -1,8 +1,23 @@ +# Copyright 2025 Google +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import cirq import numpy as np import matplotlib.pyplot as plt -from recirq.lgt_strings.lgt_experiment import LGTGrid, plot_qubit_polarization_values, variational_ground_state_minimal_qubits, trotter_step_minimal_qubits +from .lattice_gauge_experiment import plot_qubit_polarization_values, variational_ground_state_minimal_qubits, trotter_step_minimal_qubits +from .lattice_gauge_grid import LGTGrid def test_plot_qubit_polarization_values(): # Create a mock LGTGrid @@ -35,57 +50,6 @@ def test_plot_qubit_polarization_values(): # Close the plot to avoid resource warnings plt.close(fig) -def test_z_plaquette_to_physical_qubit_indices(): - # Create a mock LGTGrid - grid = LGTGrid( - origin_qubit=cirq.GridQubit(0, 0), - orientation_vector=(1, 1), - rows=3, - cols=3 - ) - - # Define a sample plaquette index - plaquette_index = (1, 1) - - # Call the function to test - physical_qubit_indices = grid.z_plaquette_to_physical_qubit_indices(row = plaquette_index[0], col = plaquette_index[1]) - - # Expected result based on the grid structure - expected_indices = [4,8,11,7] - - # Assert the result matches the expected indices - assert physical_qubit_indices == expected_indices, ( - f"Expected {expected_indices}, but got {physical_qubit_indices}" - ) - -def test_z_plaquette_to_physical_qubits(): - # Create a mock LGTGrid - grid = LGTGrid( - origin_qubit=cirq.GridQubit(0, 0), - orientation_vector=(1, 1), - rows=3, - cols=3 - ) - - # Define a sample plaquette index - plaquette_index = (1, 1) - - # Call the function to test - physical_qubits = grid.z_plaquette_to_physical_qubits(row=plaquette_index[0], col=plaquette_index[1]) - - # Expected result based on the grid structure - expected_qubits = { - 'u_qubit': cirq.GridQubit(0, 1), - 'r_qubit': cirq.GridQubit(1, 2), - 'd_qubit': cirq.GridQubit(2, 1), - 'l_qubit': cirq.GridQubit(1, 0) - } - - # Assert the result matches the expected qubits - assert physical_qubits == expected_qubits, ( - f"Expected {expected_qubits}, but got {physical_qubits}" - ) - def test_variational_ground_state_minimal_qubits(): # Define grid parameters lx, ly = 4, 3 # Grid dimensions diff --git a/recirq/lattice_gauge/lattice_gauge_grid.py b/recirq/lattice_gauge/lattice_gauge_grid.py new file mode 100644 index 00000000..2f8d9e13 --- /dev/null +++ b/recirq/lattice_gauge/lattice_gauge_grid.py @@ -0,0 +1,377 @@ +# Copyright 2025 Google +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from collections.abc import Iterator +from enum import Enum + +import cirq +import numpy as np + +class QubitNeighbor(Enum): + """Enum for the neighbors of a qubit in a grid. + + The neighbors are defined as follows: + - A: The qubit itself + - U: Up + - R: Right + - D: Down + - L: Left + """ + A = "a" + U = "u" + R = "r" + D = "d" + L = "l" + +class LGTGrid: + """Representation of rectangular grid of qubits for lattice gauge theory experiments. + + This grid of qubits is analagous to the X-type/Z-type Toric Code with the boundary chosen + such that all boundary stabilizers are Z-type. The origin_qubit is chosen to be an ancillary + qubit for an X-type plaquette closest to a corner. The other qubits are chosen based on the + orientation vector, which is drawn from the origin_qubit away from the corner to the adjacent + 'bulk' ancillary qubit for a Z-type plaquette. + """ + + def __init__( + self, + origin_qubit: cirq.GridQubit, + orientation_vector: tuple[int, int], + rows: int, + cols: int, + flip_rowcol: bool = False, + ): + """ + + Args: + origin_qubit: ancillary qubit for an X-type plaquette closest to a corner + orientation_vector: vector drawn from origin_qubit to the ancillary qubit of the adjacent 'bulk' + Z-type plaquette + rows: number of rows of X-type stabilizers + cols: number of columns of X-type stabilizers + flip_rowcol: chooses whether to transpose row and columns code + """ + if np.any(np.abs(orientation_vector) != np.array([1, 1])): + raise ValueError( + f"Inconsistent orientation_vector={orientation_vector}: must be (±1, ±1)" + ) + + if rows < 1 or cols < 1: + raise ValueError(f"rows ({rows}) and cols ({cols}) must both be at least 1") + + self.origin_qubit = origin_qubit + self.orientation_vector = orientation_vector + self.row_vector = np.array([2 * orientation_vector[0], 0], dtype=int) + self.col_vector = np.array([0, 2 * orientation_vector[1]], dtype=int) + self.rows = rows + self.cols = cols + self.flip_rowcol = flip_rowcol + + @property + def physical_qubits(self) -> set[cirq.GridQubit]: + """Set of physical gauge qubits at the corners of Z and X plaquettes.""" + return sorted( + self.u_set(self.x_ancillary_qubits) + .union(self.r_set(self.x_ancillary_qubits)) + .union(self.d_set(self.x_ancillary_qubits)) + .union(self.l_set(self.x_ancillary_qubits)) + ) + + @property + def x_ancillary_qubits(self) -> set[cirq.GridQubit]: + return {self.x_plaquette_to_x_ancilla(row, col) for row, col in self.x_plaquette_indices} + + @property + def z_ancillary_l_side_qubits(self) -> set[cirq.GridQubit]: + return {self.z_plaquette_to_z_ancilla(row, 0) for row in range(0, self.rows + 1)} + + @property + def z_ancillary_dl_corner_qubits(self) -> set[cirq.GridQubit]: + return {self.z_plaquette_to_z_ancilla(self.rows, 0)} + + @property + def z_even_col_ancillary_qubits(self) -> set[cirq.GridQubit]: + return { + self.z_plaquette_to_z_ancilla(row, col) + for row, col in self.z_plaquette_even_col_indices + } + + @property + def z_ancillary_d_side_qubits(self) -> set[cirq.GridQubit]: + return {self.z_plaquette_to_z_ancilla(self.rows, col) for col in range(0, self.cols + 1)} + + @property + def z_ancillary_ul_corner_qubits(self) -> set[cirq.GridQubit]: + return {self.z_plaquette_to_z_ancilla(0, 0)} + + @property + def z_ancillary_u_side_qubits(self) -> set[cirq.GridQubit]: + return {self.z_plaquette_to_z_ancilla(0, col) for col in range(0, self.cols + 1)} + + @property + def z_ancillary_r_side_qubits(self) -> set[cirq.GridQubit]: + return {self.z_plaquette_to_z_ancilla(row, self.cols) for row in range(0, self.rows + 1)} + + @property + def z_ancillary_ur_corner_qubits(self) -> set[cirq.GridQubit]: + return {self.z_plaquette_to_z_ancilla(0, self.cols)} + + @property + def z_odd_col_ancillary_qubits(self) -> set[cirq.GridQubit]: + return { + self.z_plaquette_to_z_ancilla(row, col) for row, col in self.z_plaquette_odd_col_indices + } + + @property + def x_ancillary_qubits_by_col(self) -> list[set[cirq.GridQubit]]: + return [ + {self.x_plaquette_to_x_ancilla(row, col) for row in range(self.rows)} + for col in range(self.cols) + ] + + @property + def z_ancillary_dr_corner_qubits(self) -> set[cirq.GridQubit]: + return {self.z_plaquette_to_z_ancilla(self.rows, self.cols)} + + @property + def x_even_col_ancillary_qubits(self) -> set[cirq.GridQubit]: + return { + self.x_plaquette_to_x_ancilla(row, col) + for row, col in self.x_plaquette_even_col_indices + } + + @property + def x_odd_col_ancillary_qubits(self) -> set[cirq.GridQubit]: + return { + self.x_plaquette_to_x_ancilla(row, col) for row, col in self.x_plaquette_odd_col_indices + } + + @property + def x_plaquette_indices(self) -> Iterator[tuple[int, int]]: + for row in range(self.rows): + for col in range(self.cols): + yield row, col + + @property + def z_plaquette_indices(self) -> Iterator[tuple[int, int]]: + for row in range(self.rows + 1): + for col in range(self.cols + 1): + yield row, col + + @property + def z_plaquette_even_col_indices(self) -> Iterator[tuple[int, int]]: + for row in range(self.rows + 1): + for col in range(0, self.cols + 1, 2): + yield row, col + + @property + def z_plaquette_odd_col_indices(self) -> Iterator[tuple[int, int]]: + for row in range(self.rows + 1): + for col in range(1, self.cols + 1, 2): + yield row, col + + @property + def x_plaquette_even_col_indices(self) -> Iterator[tuple[int, int]]: + for row in range(self.rows): + for col in range(0, self.cols, 2): + yield row, col + + @property + def x_plaquette_odd_col_indices(self) -> Iterator[tuple[int, int]]: + for row in range(self.rows): + for col in range(1, self.cols, 2): + yield row, col + + def q_displaced(self, qubit: cirq.GridQubit, displacement: np.ndarray) -> cirq.GridQubit: + """Helper to return a `GridQubit` displaced by a fixed x/y. + + Args: + displacement: numpy array with row/column displacement. + + Returns: + `cirq.GridQubit` that is displaced by a fixed amount of rows/columns + """ + if self.flip_rowcol is False: + return qubit + (int(round(displacement[0])), int(round(displacement[1]))) + else: + return qubit + (int(round(displacement[1])), int(round(displacement[0]))) + + def u_set(self, qubit_set: set[cirq.GridQubit]) -> set[cirq.GridQubit]: + """Ouputs a set of qubits translated up from the input set.""" + return {self.q_displaced(qubit, -self.row_vector / 2) for qubit in qubit_set} + + def r_set(self, qubit_set: set[cirq.GridQubit]) -> set[cirq.GridQubit]: + """Ouputs a set of qubits translated right from the input set.""" + return {self.q_displaced(qubit, self.col_vector / 2) for qubit in qubit_set} + + def d_set(self, qubit_set: set[cirq.GridQubit]) -> set[cirq.GridQubit]: + """Ouputs a set of qubits translated down from the input set.""" + return {self.q_displaced(qubit, self.row_vector / 2) for qubit in qubit_set} + + def l_set(self, qubit_set: set[cirq.GridQubit]) -> set[cirq.GridQubit]: + """Ouputs a set of qubits translated left from the input set.""" + return {self.q_displaced(qubit, -self.col_vector / 2) for qubit in qubit_set} + + def ancillary_to_pair( + self, a_set: set[cirq.GridQubit], qubit1_relationship: QubitNeighbor, qubit2_relationship: QubitNeighbor + ) -> set[tuple[cirq.GridQubit, cirq.GridQubit]]: + """Generates a pair of qubits for each qubit in a_set based on nearest neighbor + relationships. + + Args: + a_set: set of input qubits, usually ancillary qubits of a set of plaquettes. + qubit1_relationship: either A, U, R, D, or L. indicated that the first qubit in each pair will either + be qubits in a_set (A), or the qubits that are up (U), right (R), down (D), or left (L) from + the qubits in a_set. + qubit2_relationship: ... same but the second qubit in each pair. + """ + displacement_dict ={ + QubitNeighbor.A: 0, + QubitNeighbor.U: -self.row_vector / 2, + QubitNeighbor.R: self.col_vector / 2, + QubitNeighbor.D: self.row_vector / 2, + QubitNeighbor.L: -self.col_vector / 2, + + } + + return { + ( + self.q_displaced(qubit, displacement_dict[qubit1_relationship]), + self.q_displaced(qubit, displacement_dict[qubit2_relationship]) + ) + for qubit in a_set + } + + + def z_plaquette_to_physical_qubit_indices(self, row: int, col: int) -> list[int]: + """Outputs the indices of all physical qubits within the sorted list of all physical + qubits.""" + return [ + sorted(list(self.physical_qubits)).index(qubit) + for qubit in self.z_plaquette_to_physical_qubits(row, col).values() + ] + + def x_plaquette_to_physical_qubit_indices(self, row: int, col: int) -> list[int]: + """Outputs the indices of all physical qubits within the sorted list of all physical + qubits.""" + return [ + sorted(list(self.physical_qubits)).index(qubit) + for qubit in self.x_plaquette_to_physical_qubits(row, col).values() + ] + + def z_plaquette_to_physical_qubits(self, row: int, col: int) -> dict[str : cirq.GridQubit]: + """Outputs all the physical qubits that constitute the Z plaquette at indices (row, col). + + Interior Z plaquettes are made up of 4 qubits. While plaquettes on the edge are only comprised + of 3 qubits. Corner plaquettes just have 2 qubits. + """ + u_displacement = ( + (row - 0.5) * self.row_vector + (col - 0.5) * self.col_vector - self.row_vector / 2 + ) + r_displacement = ( + (row - 0.5) * self.row_vector + (col - 0.5) * self.col_vector + self.col_vector / 2 + ) + d_displacement = ( + (row - 0.5) * self.row_vector + (col - 0.5) * self.col_vector + self.row_vector / 2 + ) + l_displacement = ( + (row - 0.5) * self.row_vector + (col - 0.5) * self.col_vector - self.col_vector / 2 + ) + if row == 0 and col == 0: + return { + "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), + "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), + } + elif row == 0 and col == self.cols: + return { + "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), + "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), + } + elif row == self.rows and col == 0: + return { + "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), + "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), + } + elif row == self.rows and col == self.cols: + return { + "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), + "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), + } + elif row == 0: + return { + "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), + "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), + "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), + } + elif col == 0: + return { + "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), + "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), + "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), + } + elif row == self.rows: + return { + "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), + "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), + "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), + } + elif col == self.cols: + return { + "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), + "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), + "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), + } + else: + return { + "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), + "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), + "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), + "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), + } + + def x_plaquette_to_physical_qubits(self, row: int, col: int) -> dict[str : cirq.GridQubit]: + """Outputs all the physical qubits that constitute the X plaquette at indices (row, col). + + In current construction, all X plaquettes are on the interior, so thus have 4 qubits. + """ + u_displacement = (row) * self.row_vector + (col) * self.col_vector - self.row_vector / 2 + r_displacement = (row) * self.row_vector + (col) * self.col_vector + self.col_vector / 2 + d_displacement = (row) * self.row_vector + (col) * self.col_vector + self.row_vector / 2 + l_displacement = (row) * self.row_vector + (col) * self.col_vector - self.col_vector / 2 + return { + "u_qubit": self.q_displaced(self.origin_qubit, u_displacement), + "r_qubit": self.q_displaced(self.origin_qubit, r_displacement), + "d_qubit": self.q_displaced(self.origin_qubit, d_displacement), + "l_qubit": self.q_displaced(self.origin_qubit, l_displacement), + } + + def x_plaquette_to_x_ancilla(self, row: int, col: int) -> cirq.GridQubit: + """This displacement is counting from the upper left X plaquette. + + Args: + row: plaquette row, row 0 is on top with increasing rows going down. + col: plaquette column, column 0 is on the left and increasing to the left. + """ + displacement = row * self.row_vector + col * self.col_vector + return self.q_displaced(self.origin_qubit, displacement) + + def z_plaquette_to_z_ancilla(self, row: int, col: int) -> cirq.GridQubit: + """This displacement is counting from the upper left Z plaquette. + + Args: + row: plaquette row, row 0 is on top with increasing rows going down. + col: plaquette column, column 0 is on the left and increasing to the left. + """ + displacement = (row - 1 / 2) * self.row_vector + (col - 1 / 2) * self.col_vector + return self.q_displaced(self.origin_qubit, displacement) \ No newline at end of file diff --git a/recirq/lattice_gauge/lattice_gauge_grid_test.py b/recirq/lattice_gauge/lattice_gauge_grid_test.py new file mode 100644 index 00000000..f4579d85 --- /dev/null +++ b/recirq/lattice_gauge/lattice_gauge_grid_test.py @@ -0,0 +1,70 @@ +# Copyright 2025 Google +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import cirq + +import numpy as np +import matplotlib.pyplot as plt +from .lattice_gauge_grid import LGTGrid + +def test_z_plaquette_to_physical_qubit_indices(): + # Create a mock LGTGrid + grid = LGTGrid( + origin_qubit=cirq.GridQubit(0, 0), + orientation_vector=(1, 1), + rows=3, + cols=3 + ) + + # Define a sample plaquette index + plaquette_index = (1, 1) + + # Call the function to test + physical_qubit_indices = grid.z_plaquette_to_physical_qubit_indices(row = plaquette_index[0], col = plaquette_index[1]) + + # Expected result based on the grid structure + expected_indices = [4,8,11,7] + + # Assert the result matches the expected indices + assert physical_qubit_indices == expected_indices, ( + f"Expected {expected_indices}, but got {physical_qubit_indices}" + ) + +def test_z_plaquette_to_physical_qubits(): + # Create a mock LGTGrid + grid = LGTGrid( + origin_qubit=cirq.GridQubit(0, 0), + orientation_vector=(1, 1), + rows=3, + cols=3 + ) + + # Define a sample plaquette index + plaquette_index = (1, 1) + + # Call the function to test + physical_qubits = grid.z_plaquette_to_physical_qubits(row=plaquette_index[0], col=plaquette_index[1]) + + # Expected result based on the grid structure + expected_qubits = { + 'u_qubit': cirq.GridQubit(0, 1), + 'r_qubit': cirq.GridQubit(1, 2), + 'd_qubit': cirq.GridQubit(2, 1), + 'l_qubit': cirq.GridQubit(1, 0) + } + + # Assert the result matches the expected qubits + assert physical_qubits == expected_qubits, ( + f"Expected {expected_qubits}, but got {physical_qubits}" + ) \ No newline at end of file From 6e0a1d4433982aea29515dcb45eeb4ae6341fcb6 Mon Sep 17 00:00:00 2001 From: snichet Date: Tue, 29 Apr 2025 00:01:52 -0400 Subject: [PATCH 4/4] Doug notebook reformats --- docs/lattice_gauge/lattice_gauge.ipynb | 435 +++++++----------- .../lattice_gauge/lattice_gauge_experiment.py | 26 +- recirq/lattice_gauge/settings.py | 69 +++ 3 files changed, 264 insertions(+), 266 deletions(-) create mode 100644 recirq/lattice_gauge/settings.py diff --git a/docs/lattice_gauge/lattice_gauge.ipynb b/docs/lattice_gauge/lattice_gauge.ipynb index 28b4c89a..fde17bae 100644 --- a/docs/lattice_gauge/lattice_gauge.ipynb +++ b/docs/lattice_gauge/lattice_gauge.ipynb @@ -2,8 +2,8 @@ "cells": [ { "cell_type": "code", - "execution_count": 11, - "id": "213b4271", + "execution_count": 1, + "id": "bfade661", "metadata": {}, "outputs": [], "source": [ @@ -14,162 +14,24 @@ }, { "cell_type": "code", - "execution_count": 12, - "id": "f81ba0e7", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['/Library/Frameworks/Python.framework/Versions/3.11/lib/python311.zip',\n", - " '/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11',\n", - " '/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/lib-dynload',\n", - " '',\n", - " '/Users/tylerac/Documents/VS_Code_Projects/ReCirq Stuff/.venv/lib/python3.11/site-packages',\n", - " '/Users/tylerac/Documents/VS_Code_Projects/ReCirq Stuff',\n", - " '/Users/tylerac/Documents/VS_Code_Projects/ReCirq Stuff/',\n", - " '/Users/tylerac/Documents/VS_Code_Projects/ReCirq Stuff/ReCirq']" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sys.path" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "6af072a8", - "metadata": {}, - "outputs": [], - "source": [ - "import cirq\n", - "from matplotlib.colors import LinearSegmentedColormap#, ListedColormap\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib\n", - "from matplotlib import ticker\n", - "import numpy as np\n", - "from matplotlib import colormaps\n", - "import qsimcirq\n", - "from scipy.optimize import minimize_scalar\n", - "import sympy\n", - "\n", - "import recirq.lattice_gauge.lattice_gauge_experiment as lgt\n", - "from recirq.lattice_gauge.lattice_gauge_grid import LGTGrid\n", - "import recirq.toric_code.toric_code_plotter as tc_plot\n", - "import recirq.toric_code.toric_code_plaquettes as tc_plaq\n", - "import recirq.toric_code.toric_code_rectangle as tcr" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "6cbbedb7", + "execution_count": 2, + "id": "52e8547c", "metadata": {}, "outputs": [], "source": [ - "#Notebook Parameters\n", - "\n", - "reps = 1_000\n", - "\n", - "number_of_gauge_qubits = 17\n", - "\n", - "plt.rcParams['figure.dpi'] = 72\n", - "plt.rcParams['font.size'] = 12\n", - "plt.rcParams['lines.markersize'] = 8\n", - "plt.rcParams['lines.markeredgecolor'] = 'k'\n", - "plt.rcParams['lines.markeredgewidth'] = 0.7\n", - "plt.rcParams['xtick.direction'] = 'in'\n", - "plt.rcParams['ytick.direction'] = 'in'\n", - "plt.rcParams['xtick.bottom'] = True\n", - "plt.rcParams['xtick.top'] = True\n", - "plt.rcParams['ytick.left'] = True\n", - "plt.rcParams['ytick.right'] = True\n", - "plt.rcParams['xtick.labelbottom'] = True\n", - "plt.rcParams['ytick.labelleft'] = True\n", - "\n", - "WALA_INITIAL = np.array([0, 0.35746251, 0.14352941, 1])\n", - "TORIC_INITIAL = 'steelblue'\n", - "POLARIZED_INITIAL = \"#fbbc04\"\n", - "BREAKING_BOTTOM = '#67cd85ff'\n", - "BREAKING_TOP = '#e6a304ff'\n", - "BREAKING_VAC = 'k'\n", - "\n", - "cmap1 = LinearSegmentedColormap.from_list(\"1\", ['darkred', 'salmon'],gamma=1.0)\n", - "cmap2 = LinearSegmentedColormap.from_list(\"2\", ['salmon','lightgrey'],gamma=1.0)\n", - "cmap3 = LinearSegmentedColormap.from_list(\"3\", ['lightgrey','lightsteelblue'],gamma=1.0)\n", - "cmap4 = LinearSegmentedColormap.from_list(\"4\", ['lightsteelblue','steelblue'],gamma=1.0)\n", - "color_list = [cmap1(i) for i in np.arange(0,1,1/375)]+ [cmap2(i) for i in np.arange(0,1,1/250)] + [cmap3(i) for i in np.arange(0,1,1/30)] + [cmap4(i) for i in np.arange(0,1,1/95)]\n", - "charge_cmap = LinearSegmentedColormap.from_list(\"Charge\", color_list,gamma=1)\n", - "charge_cmap_r = LinearSegmentedColormap.from_list(\"Charge_r\", color_list[::-1],gamma=1)\n", - "\n", - "he_list = [0,0.3,0.6,0.8,2.0]\n", - "blues_cmap = matplotlib.colors.LinearSegmentedColormap.from_list(\n", - " \"Blues\", [(0.0,'k'),(0.5,'steelblue'), (1.0,(0.9*0.6901960784313725, 0.9*0.7686274509803922, 1.0*0.8705882352941177, 1.0))]\n", - ")\n", - "blues_cmap_r = matplotlib.colors.LinearSegmentedColormap.from_list(\n", - " \"Blues_r\", [(1.0,'k'),(0.5,'steelblue'), (0.0,(0.9*0.6901960784313725, 0.9*0.7686274509803922, 1.0*0.8705882352941177, 1.0))][::-1]\n", - ")\n", - "blues_color_list = [blues_cmap(i) for i in np.arange(1,-0.01,-1/(max(len(he_list)-1,1)))]\n", - "\n", - "colors_greens1 = ['white', '#009468ff']\n", - "colors_greens2 = [\"#bdc1c6\",'#009468ff']\n", - "colors_greens3 = ['#009468ff','black']\n", - "cmap_greens1 = LinearSegmentedColormap.from_list(\"1\", colors_greens1,gamma=3.5)\n", - "cmap_greens2 = LinearSegmentedColormap.from_list(\"mycmap\", colors_greens3,gamma=0.8)\n", - "color_list = ([cmap_greens1(i) for i in np.arange(0,1,1/10240)] + [cmap_greens2(i) for i in np.arange(0,1,1/12500)])\n", - "cmap_green = LinearSegmentedColormap.from_list(\"mycmap\", color_list,gamma=1)\n", - "cmap_green_r = LinearSegmentedColormap.from_list(\"mycmap\", color_list[::-1],gamma=1)\n", - "\n", - "colors = ['darkred', 'salmon']\n", - "cmap1 = LinearSegmentedColormap.from_list(\"mycmap\", colors,gamma=4.0)\n", - "colors = ['salmon','lightgrey']\n", - "cmap2 = LinearSegmentedColormap.from_list(\"mycmap\", colors,gamma=1.0)\n", - "colors = ['lightgrey','lightsteelblue']\n", - "cmap3 = LinearSegmentedColormap.from_list(\"mycmap\", colors,gamma=1.0)\n", - "colors = ['lightsteelblue','steelblue']\n", - "cmap4 = LinearSegmentedColormap.from_list(\"mycmap\", colors,gamma=0.5)\n", - "color_list = [cmap1(i) for i in np.arange(0,1,1/1500)]+ [cmap2(i) for i in np.arange(0,1,1/300)] + [cmap3(i) for i in np.arange(0,1,1/300)] + [cmap4(i) for i in np.arange(0,1,1/1500)]\n", - "diff_cmap = LinearSegmentedColormap.from_list(\"mycmap\", color_list,gamma=1)\n", - "diff_cmap_r = LinearSegmentedColormap.from_list(\"mycmap\", color_list[::-1],gamma=1)\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "bbc3fd0a", - "metadata": {}, - "outputs": [], - "source": [ - "#Notebook Functions\n", - "\n", - "def mean_field_energy(theta, Lx=5, Ly=5, Je=1., Jm=1., he=0.0):\n", - " energy = - Je * Lx * Ly\\\n", - " - Jm * (Lx-1) * (Ly-1) * np.sin(theta)\\\n", - " - he * (2 * (Lx-1) + 2 * (Ly-1)) * np.cos(theta)\\\n", - " - he * (2 * Lx * Ly - 3 * Lx - 3 * Ly + 4) * np.cos(theta)**2\n", - " return energy\n", - "\n", - "def bitstring_to_expectation_value(\n", - " bitstrings:np.ndarray\n", - ")->np.ndarray:\n", - " return -2 * bitstrings + 1\n", - "\n", - "def energy_from_measurements(\n", - " hamiltonian_coefs:dict,\n", - " z_basis_results:np.ndarray,\n", - " x_basis_results:np.ndarray\n", - ") -> float:\n", - " return (-hamiltonian_coefs['Je'] * np.sum(np.mean(bitstring_to_expectation_value(lgt.plaquette_bitstrings(z_basis_results,grid)),axis=0))\n", - " -hamiltonian_coefs['Jm'] * np.sum(np.mean(bitstring_to_expectation_value(lgt.x_plaquette_bitstrings(x_basis_results,grid)),axis=0))\n", - " -hamiltonian_coefs['he'] * np.sum(np.mean(bitstring_to_expectation_value(z_basis_results),axis=0))\n", - " -hamiltonian_coefs['lambda'] * np.sum(np.mean(bitstring_to_expectation_value(x_basis_results),axis=0))\n", - " )" + "# Copyright 2025 Google\n", + "#\n", + "# Licensed under the Apache License, Version 2.0 (the \"License\");\n", + "# you may not use this file except in compliance with the License.\n", + "# You may obtain a copy of the License at\n", + "#\n", + "# https://www.apache.org/licenses/LICENSE-2.0\n", + "#\n", + "# Unless required by applicable law or agreed to in writing, software\n", + "# distributed under the License is distributed on an \"AS IS\" BASIS,\n", + "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n", + "# See the License for the specific language governing permissions and\n", + "# limitations under the License." ] }, { @@ -213,6 +75,61 @@ "After first preparing a low energy state, we excite the system by pair-creating charges connected by a string of gauge flux. Based on the value of $h_E$, the theory will be in a confined or a deconfined regime. We see this transition by tracking the Hamiltonian evolution of charges and the average separation of an initialized pair. Then we turn to exploring the dynamics of a string of gauge flux connecting two charges that are \"pinned\" to the boundary of the grid. The string displays behavior that shows the transition from a deconfined, to a weakly and finally to a strongly confined regime as $h_E$ is increased. Finally, by initiating a string across the grid, but then measuring the pair-creation of additional charges, we observe evidence of string breaking in the confined regime as the coupling parameter, $\\lambda$, is tuned." ] }, + { + "cell_type": "markdown", + "id": "c3f73d40", + "metadata": {}, + "source": [ + "Before we jump in, let's import all the packages we will need for this tutorial:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "92b419b7", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/tylerac/Documents/VS_Code_Projects/ReCirq Stuff/.venv/lib/python3.9/site-packages/urllib3/__init__.py:35: NotOpenSSLWarning: urllib3 v2 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compiled with 'LibreSSL 2.8.3'. See: https://github.com/urllib3/urllib3/issues/3020\n", + " warnings.warn(\n" + ] + }, + { + "ename": "TypeError", + "evalue": "unsupported operand type(s) for |: 'type' and 'type'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[5], line 12\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mscipy\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01moptimize\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m minimize_scalar\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01msympy\u001b[39;00m\n\u001b[0;32m---> 12\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mrecirq\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlattice_gauge\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlattice_gauge_experiment\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mlgt\u001b[39;00m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mrecirq\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlattice_gauge\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01msettings\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01msettings\u001b[39;00m\n\u001b[1;32m 14\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mrecirq\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlattice_gauge\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlattice_gauge_grid\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m LGTGrid\n", + "File \u001b[0;32m~/Documents/VS_Code_Projects/ReCirq Stuff/ReCirq/recirq/lattice_gauge/lattice_gauge_experiment.py:588\u001b[0m\n\u001b[1;32m 569\u001b[0m plaquette_bitstrings[:, p] \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m 570\u001b[0m np\u001b[38;5;241m.\u001b[39msum(\n\u001b[1;32m 571\u001b[0m data[\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 581\u001b[0m \u001b[38;5;241m%\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[1;32m 582\u001b[0m )\n\u001b[1;32m 584\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m plaquette_bitstrings\n\u001b[1;32m 586\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mcnot_on_layer\u001b[39m(\n\u001b[1;32m 587\u001b[0m pairs_list: Sequence[\u001b[38;5;28mtuple\u001b[39m[cirq\u001b[38;5;241m.\u001b[39mGridQubit, cirq\u001b[38;5;241m.\u001b[39mGridQubit]],\n\u001b[0;32m--> 588\u001b[0m depolarization_probability: \u001b[38;5;28;43mfloat\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m|\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;28;43mdict\u001b[39;49m \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 589\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Sequence[cirq\u001b[38;5;241m.\u001b[39mMoment]:\n\u001b[1;32m 590\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Outputs a list of moments for CNOT between two lists, in terms of CZ gates.\u001b[39;00m\n\u001b[1;32m 591\u001b[0m \n\u001b[1;32m 592\u001b[0m \u001b[38;5;124;03m Args:\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 596\u001b[0m \u001b[38;5;124;03m dictionary that maps specific depolarization probability to specific pairs of qubits.\u001b[39;00m\n\u001b[1;32m 597\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m 598\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m depolarization_probability \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for |: 'type' and 'type'" + ] + } + ], + "source": [ + "import cirq\n", + "from matplotlib.colors import LinearSegmentedColormap#, ListedColormap\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib\n", + "from matplotlib import ticker\n", + "import numpy as np\n", + "from matplotlib import colormaps\n", + "import qsimcirq\n", + "from scipy.optimize import minimize_scalar\n", + "import sympy\n", + "\n", + "import recirq.lattice_gauge.lattice_gauge_experiment as lgt\n", + "import recirq.lattice_gauge.settings as settings\n", + "from recirq.lattice_gauge.lattice_gauge_grid import LGTGrid\n", + "import recirq.toric_code.toric_code_plotter as tc_plot\n", + "import recirq.toric_code.toric_code_plaquettes as tc_plaq\n", + "import recirq.toric_code.toric_code_rectangle as tcr" + ] + }, { "cell_type": "markdown", "id": "629aac46", @@ -241,7 +158,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "id": "3ec38233", "metadata": {}, "outputs": [], @@ -262,7 +179,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "id": "f6175473", "metadata": {}, "outputs": [ @@ -282,7 +199,7 @@ "\n", "fig, ax = plt.subplots()\n", "\n", - "tc_plot.ToricCodePlotter(z_cmap = charge_cmap, x_cmap = matplotlib.colormaps['binary']).plot_expectation_values(tc_plaq.ToricCodePlaquettes(\n", + "tc_plot.ToricCodePlotter(z_cmap = settings.charge_cmap, x_cmap = matplotlib.colormaps['binary']).plot_expectation_values(tc_plaq.ToricCodePlaquettes(\n", " code,\n", " x_plaquettes = np.zeros((code.rows,code.cols))-1,\n", " z_plaquettes = np.zeros((code.rows+1,code.cols+1))+1\n", @@ -311,7 +228,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "id": "88c9f682", "metadata": {}, "outputs": [], @@ -320,7 +237,7 @@ "\n", "angles = {}\n", "for he in he_list:\n", - " fun = lambda theta: mean_field_energy(theta, Lx=Lx+1, Ly=Ly+1, he=he)\n", + " fun = lambda theta: lgt.mean_field_energy(theta, Lx=Lx+1, Ly=Ly+1, he=he)\n", " res = minimize_scalar(fun, bracket=(0, np.pi/2))\n", " angles[np.around(he,2)]= res.x" ] @@ -335,7 +252,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "id": "a2247fcf", "metadata": {}, "outputs": [ @@ -416,7 +333,7 @@ " └──┘ └──┘ └──┘" ] }, - "execution_count": 20, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -435,7 +352,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "id": "b51f1408", "metadata": {}, "outputs": [], @@ -461,18 +378,18 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "id": "0cdcec41", "metadata": {}, "outputs": [], "source": [ "simulator = qsimcirq.QSimSimulator()\n", "\n", - "results_wala_z = simulator.run_batch(wala_circuits_z,repetitions=reps)\n", - "results_wala_x = simulator.run_batch(wala_circuits_x,repetitions=reps)\n", + "results_wala_z = simulator.run_batch(wala_circuits_z,repetitions=settings.reps)\n", + "results_wala_x = simulator.run_batch(wala_circuits_x,repetitions=settings.reps)\n", "\n", - "results_polarized_z = simulator.run(polarized_circuit_z,repetitions = reps)\n", - "results_polarized_x = simulator.run(polarized_circuit_x,repetitions = reps)\n", + "results_polarized_z = simulator.run(polarized_circuit_z,repetitions = settings.reps)\n", + "results_polarized_x = simulator.run(polarized_circuit_x,repetitions = settings.reps)\n", "\n", "results_wala_combined = {}\n", "for idx,he in enumerate(he_list):\n", @@ -494,7 +411,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "id": "272f2aa9", "metadata": {}, "outputs": [], @@ -503,7 +420,8 @@ "toric_code_energies_dict = {}\n", "polarized_energies_dict = {}\n", "for idx, he in enumerate(he_list):\n", - " energy = energy_from_measurements(\n", + " energy = lgt.energy_from_measurements(\n", + " grid=grid,\n", " hamiltonian_coefs = {'Je':1,'Jm':1,'he':he,'lambda':0.25},\n", " z_basis_results = results_wala_combined[('basis_z',f'he_{np.around(he,2)}')].measurements['measure_all'],\n", " x_basis_results = results_wala_combined[('basis_x',f'he_{np.around(he,2)}')].measurements['measure_all']\n", @@ -511,7 +429,8 @@ "\n", " wala_energies_dict[he] = energy\n", "\n", - " energy = energy_from_measurements(\n", + " energy = lgt.energy_from_measurements(\n", + " grid=grid,\n", " hamiltonian_coefs = {'Je':1,'Jm':1,'he':he,'lambda':0.25},\n", " z_basis_results = results_wala_combined[('basis_z',f'he_{0.0}')].measurements['measure_all'],\n", " x_basis_results = results_wala_combined[('basis_x',f'he_{0.0}')].measurements['measure_all']\n", @@ -519,7 +438,8 @@ "\n", " toric_code_energies_dict[he] = energy\n", "\n", - " energy = energy_from_measurements(\n", + " energy = lgt.energy_from_measurements(\n", + " grid=grid,\n", " hamiltonian_coefs = {'Je':1,'Jm':1,'he':he,'lambda':0.25},\n", " z_basis_results = results_polarized['basis_z'].measurements['measure_all'],\n", " x_basis_results = results_polarized['basis_x'].measurements['measure_all']\n", @@ -538,27 +458,16 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "id": "845546bd", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig,ax = plt.subplots()\n", "\n", - "ax.plot(wala_energies_dict.keys(),np.array(list(wala_energies_dict.values()))/((number_of_gauge_qubits+1)/2), marker = \"o\", color = WALA_INITIAL, label='WALA')\n", - "ax.plot(toric_code_energies_dict.keys(),np.array(list(toric_code_energies_dict.values()))/((number_of_gauge_qubits+1)/2), marker = \"o\", color = TORIC_INITIAL, label='toric code')\n", - "ax.plot(polarized_energies_dict.keys(),np.array(list(polarized_energies_dict.values()))/((number_of_gauge_qubits+1)/2),marker='o', color= POLARIZED_INITIAL, label = 'polarized')\n", + "ax.plot(wala_energies_dict.keys(),np.array(list(wala_energies_dict.values()))/((settings.number_of_gauge_qubits+1)/2), marker = \"o\", color = settings.WALA_INITIAL, label='WALA')\n", + "ax.plot(toric_code_energies_dict.keys(),np.array(list(toric_code_energies_dict.values()))/((settings.number_of_gauge_qubits+1)/2), marker = \"o\", color = settings.TORIC_INITIAL, label='toric code')\n", + "ax.plot(polarized_energies_dict.keys(),np.array(list(polarized_energies_dict.values()))/((settings.number_of_gauge_qubits+1)/2),marker='o', color= settings.POLARIZED_INITIAL, label = 'polarized')\n", "\n", "ax.set_xlabel(\"$h_E$\")\n", "ax.set_ylabel(\"Energy error per unit cell\")\n", @@ -599,7 +508,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "id": "f19dcaf8", "metadata": {}, "outputs": [ @@ -680,7 +589,7 @@ " └──┘ └──┘ └──┘ └──┘ └──┘ └──┘ └──┘" ] }, - "execution_count": 25, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -706,7 +615,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": null, "id": "e4aec731", "metadata": {}, "outputs": [], @@ -740,12 +649,12 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "id": "5b1af32b", "metadata": {}, "outputs": [], "source": [ - "results_charge_dynamics = simulator.run_batch(time_evolution_circuits,repetitions=reps)" + "results_charge_dynamics = simulator.run_batch(time_evolution_circuits,repetitions=settings.reps)" ] }, { @@ -758,7 +667,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": null, "id": "a3824a60", "metadata": {}, "outputs": [], @@ -803,7 +712,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": null, "id": "80377772", "metadata": {}, "outputs": [ @@ -819,7 +728,7 @@ }, { "data": { - "image/png": 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", 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", 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", 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", 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" ] @@ -849,7 +758,7 @@ }, { "data": { - "image/png": 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", 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", 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", 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WYYi4UpVX0WScXXy+osmYRXM8hfh7Q0JkICRGBEJ2coQxzYMuKY84vmMfL6wzTofGiZ48NRxuelwIrMqOg/RY64bE9bvdsOt0JZwsrAcdwzfTm5akQHSouH24rR098Nbn+cYbvY7hSsoXctLBz8IJyxDuLcfK4HhhLTR7aGRVVIgfrJoVBzlZccqvpSuLOM4PsvNUBRy5UAudPX1CN/XXzEkQ/s6P83x/fKQUiiU9M9DKfbjXLkgSMp4cjzH85858Y75vnUMA71o1XfjooMLqZuM5fbSwVtgZxV5OhzEp2HXzkyAtRv5zECaTkojvza2CDw8VX3IhA5HFhPrD6tnxsHBapMfnA2nt7IFNB4qNU7y5ixekWDErDuZPi/TY98STo97dcwG6etQ/xjDerZ4vrpwmZEqE0yX1Bt655dbtrnI4ANbOTYTblqYpN6xSKcTxIMjbewpsPVsRpwS9ZUmqx06mMEagHCgmcfq81c1OjTBOJ5/qyBXVR6BMZavn1qVpMMtDW5klta3w+mfnoLjWvq3JmFB/uP+qmZARHwqqpAzidqx9j9YVGdFw65JU8PGe/Lt+UXULfHxYjxEoU9mdtW5REnhPcu3q02Ol2oxAmWxXzU2AnCmOXPnkaAm8v78QeiV4p3Q4AK6akwDrl08zzkegnhKIf3ykBLadKAfZigr2g7tXT5/UJml+RRNsOVLKa4fjKC48AG5emjLhzeRNB4vg6IU6YfdLpVZkxcLV8xIn/HWNbV3w2tZcOCvhSJ85KRHw8PXZ5CEnj7isgA8+sIIH4q6cwAkreWWN8OmxMimnj5W12DB/uHlpqjFyaKzwKb/xQBEc13SUz2RblhkD18xPGvfnHy2oNXafyLwrcI4CkJNGXHbABzctNsQ44o8XEh6t3NJG2IaAW3bP1Ck61A9uXZY2KuR4LdEP9hfBqWIGfDItmREN1y1MHvVzunv64K3d+fD5mUqg0BzikJNFHGeS+/R4GVAqyM8FD16bBfERgZf9/zPFDbD9RDkDPsXhcbcuS73sOGcEHE/iOV3SYMt9U6VF06OMmRBHGmf/+40nbD14OVnIv3HDbJIXmyb51oP7i/GUaGq1dvbCXz8+Y0yoNLxTRfXwGQM+5WqbO43JqoaHU8e+u6eAAfdAeBFoPJ5wuf3fv3n/GDnAsZPF9fDJsVKgGDnEcVMNhxG6Cc/X0n6ZCatUnsTKjmU8vL7+fmiXeN8stXCN+5LbOnuguYPuiVIbDhYa03FQixzimw+X2Ha19qmGW2p3r86AmZeZXnVp5sUrlHNTv9r77cvTL7kdR67gSKFkwtfzlKWM+BC4M2faJbcnRQbBo7fMMx4DivX2ueHfP8s1pregFCnE8SQeHA9OGfB5aSOfZciQewbwkQ4e45h9htwzgI905SUcTksZ8oKqFnK7akkh/t5emrtRxgO4GUMuBnAzhlwc4KpA/v6BQmhqo7O1TwZxnJqyhuDcIRMB3IwhFwO4GUMuDnAVIO/p7YfdhLb4ySCOU8nqALgZQy4GcDOGXBzgKkD++ZkKMvvGSSDe0tFNbmjYVAA3Y8jFAG7GkIsDnDrk9S1dcIaIOSQQP3i+hsy7oqcAN2PIxQBuxpCLA5w65DtPVwCFaCCeVwM6Am7GkIsB3IwhFwc4ZchPFNVBE4ELhDgp7EoZ73X2VATcjCEXA7gZQy4OcKqQ97svTgcte9Ijjlei1x1wM90hFwW4GUMuDnCqkJfVe+a6vJojLv9psFYArjvkogE30xly0YBThLysjhGfcpWNciNuJeC6Qm4V4DpDbhXg1CAv4zVxtdfE7QBcN8itBlxHyK0GnBLk1Y3t0CP55RGlR7yuRc6DmnYCrgvkdgGuE+R2AU4F8n43QJ3kZ4pLj7iMc7TLALjqkNsNuA6Q2w04FcidMiJECXGXZJdMkglwVSGXBXCVIZcFcAqQe0uyjEZK7nsnGeIyAq4a5LIBriLksgEuO+Teki2n4cl97yRagDIDrgrksgKuEuSyAi4z5N4uOZeVGYE1cfv3R1EAnDrksgOuAuSyAy4r5N6SLy+57x0A+Hnb+0BSApwq5FQApww5FcBlg9zH5eQDm1MtKSrQtp9NEXBqkFMDnCLk1ACXCfK0mGCQPekf1fRYexYiZcCpQE4VcEqQUwVcFshnxIeC7En/yOI7ocPirRkVAJcdcuqAU4CcOuAyQJ7BiE89Px8XxIUHWPbzVAJcVshVAVxmyFUB3E7IvZwOmBYbArJH4hFOt2i/lIqAywa5aoDLCLlqgNsFeUp0kPG4yh6JRzndgndDlQGXBXJVAZcJclUBtwPyGQR2pWAkHumZiaEQ6CvuQdMBcLshVx1wGSBXHXArIXcAwLKZsUAhEo+2j8sLVmSJWaA6AW4X5LoAbifkugBuFeSzUyIgIcK+4c0TicwjviIrzhh478l0BNxqyHUD3A7IdQPcCsivX5gMVCLzqAf4umDJjBiPfT+dAbcKcl0BtxJyXQEXCfm0uBASQwvNSD3yq7LjjGE/U40BFw+57oBbAbnugIuC/PoFdNbCMVKPfligL8yfIrwMuHjIGXDxkDPgYiCPDw8gZwO5Z8CauQmTXhtnwMVDzoCLh5wBFwf5TYtTgFrkngUxof5ww6KJb+4w4OIhZ8DFQ86Ai4P8iunRcEWG5467WRXJZ8Kq7PgJDcRnwMVDzoCLh5wBFwd5RJAv3HvlDKAY2WfDF1dOG9cJQAy4eMgZcPGQM+DiIHc4AB5Ym2WMgKMY2WdESIAPfCFn2qifw4CLh5wBFw85Ay4W8usXJsOMBDpDCodH+lmRnRwOS2defh8WAy4ecgZcPOQMuFjIU2OC4ZYr0oBy5J8ZN1+RAtGhfkNuY8DFQ86Ai4ecARcLua/LCQ9ek+WRc0/sjPyzA+dVuf+qmQMPEAMuHnIGXDzkDLhYyJ1OBzx47SxjtBv1HG632w0KVF7fBv/45CzctiyNARfU/txqOFvawIALqrunD/5zZz74ejsZcEGV1rbC7zaegLtWTic5nFBpxLHO7j7w85F/EnfK9fT2gbeLl7Goevr6wAkOBpzTE3GO4zjd4rd7juM4wjHiHMdxhGPEuXHX190F9ceO2X03lK6lsBDaq6rsvhscoZRB/HB+DTz/5iH49Gip3XdFWcD3/J9vwrYv3w2VO3fYfXeUBXzznXfAR3fewZAL6lhBHfzotb3w9u4LoEpKIH70Qi1sPFBs/H332SqGXBDgFdu2Qn9XF+z6xsMMuSDA28vLoTk/nyEXBPgbO/Kg3w2w71w1vLu3AFSIPOInCutgw4GiIbcx5GIAN2PIxQFuxpCLA9xsz9kq+GB/IVCPNOKniuvhX/sK4XKDJBlyMYCbMeTiADdjyMUBbrbzdCVsPDh0JZBaZBE/W9IA7+0puCzgZgy5GMDNGHJxgJsx5OIAN9t+sgI2H764O5ZiJBEvqm6Bd/YUjPrAmDHkYgA3Y8jFAW7GkIsD3Gzr8XLYdaYSKEYO8brmTnjr83zoG88j8/9jyMUAbsaQiwPcjCEXB7gZ7h8/U9IA1CKFeHtXL7y54zx0dPdN+GsZcjGAmzHk4gA3Y8jFAY7h5//f7XlQVtcGlCKDeG9fP/zX5/lQ39o16e/BkIsB3IwhFwe4GUMuBnCz7t5+eOXTs9DYNnlnrI4M4h/sL4KSmtYpfx+GXAzgZgy5OMDNGHIxgJs1t/fAK5/mQlfPxLf47YgE4ttPlMPJonqPfT+GXAzgZgy5OMDNGHIxgJtV1LfDP7fnQb+nvqHOiB8vrIMdpyo8/n0ZcjGAmzHk4gA3Y8gv5mnAzc6UNsL7BE4Gcso+lHDDfnED8XWGXCTgZrpDLhJwM90hPyYI8MFG7Dzt+ZVILRCva5n4UMLJpCPkVgCuO+RWAK475KIBN8NpPU4Xe253rhaI40iU//78wqSGEk4mnSC3EnBdIbcScF0htwpwDM8KfxNHxrV0goxJifjHR0qguqnD0p+pA+R2AK4b5HYArhvkVgI++Pq9/9xxHvr6+0G2pEMcz5g6dL7Wlp+tMuR2Aq4L5HYCrgvkdgBuVlzTCpsPl4BsSYU4DrDH8eB2piLkMgCuOuQyAK465HYCbrbjZAXkljWCTEmDOB7AfGd3gRQD7FWCXCbAVYVcJsBVhVwGwDH88W/uPA/N7d0gS9IgvvNUuVRzFqgAuYyAqwa5jICrBrksgJu1dfYaU4DIkhSI1zZ1wK4z8j3RKEMuM+CqQC4z4KpALhvgZufKm4zLQsqQFIhvOlQs7emtFCGnADh1yCkATh1yWQE3++BAEXR09wLojvjxgjooqp76xFYiowQ5JcCpQk4JcKqQyw441tLRI8VoFVsRx3exT4jgSAFyioBTg5wi4NQgpwC42d7cKiipbdUX8W3Hy40LPVBJZsgpA04FcsqAU4GcEuDm2Zzv7ikALRFvau+GI5IcGKAOuQqAyw65CoDLDjk1wM1K69rglI1zq9iG+J4zldIezKQEuUqAywq5SoDLCjlVwM22nSjXC/G2zh6Sa+GyQa4i4LJBriLgskFOHXDzlPy88ibQBvF9udXQ20f4EZMAcpUBlwVylQGXBXIVADfberwMtEAcT6s/eL4aVMkOyHUA3G7IdQDcbshVAhzLr2w21siVR/xcWSN09cg3nSMVyHUC3C7IdQLcLshVA9zscH4NKI84TjWrYlZAriPgVkOuI+BWQ64q4NhJG0apWIp4d0+fscmhaiIh1xlwqyDXGXCrIFcZcKy5vQcKq1pAWcTzKpqUOKBpNeQMuHjIGXDxkKsOuNmJojpQFvHcUrkmU6cAOQMuHnIGXDzkugCOnSpuUBfxyoZ20CVPQM6Ai4ecARcPuU6AY/WtXZbObui08gr2+Mvp1FQgZ8DFQ86Ai4dcN8DNqho71EO8rqXTmCxGtyYDOQMuHnIGXDzkugKOVTW2q4d4bVOnVT+KNOQMuHjIGXDxkOsMOFat4pp4Q5teu1ImAzkDLh5yBlw85LoDjtW1dKmHuI67UiYCOQMuHnIGXDzkDPjF+i0Ez/bLs+kI+d6zl74A9n//cQbcg5A35+UNub2roYEB9yTkX1wP/T09l0ypwYBbHyNucSEB3jAzKeyS26ffex94+fvbcp9UKzZnJQSlpg65zTc8HDLuvse2+6RamV95AJze3kNuS40JhpToYNvuk64x4hYDfv/aTIgI8r3k/2JW5MCql//GkE+x+KvXQs4f/gxOH59L/m/hD34E8x77ni33S6WWPP9TyH7o4Utu9/X2gq9dlwVpMQy5koj7eXuBzo0GuBlDLg5wM4ZcDOBmDPnF/H1coBziUaF+oGvjAdyMIRcHuBlDLgZwM4YcIDbMXz3Eo0P0RGkigJsx5OIAN2PIxQBupjvksSoiHuTvDf4+eu1SmQzgZgy5OMDNGHIxgJvpDHmsiohjUaH6gDQVwM0YcnGAmzHkYgDXGXKXlwMigvzURDw9Vo8H0hOAmzHk4gA3Y8jFAK4r5NPjQsHpdKiJ+KykcFA9TwJuxpCLA9yMIRcDuI6Qz02NsPTnWYp4TJg/RAZ7DjcdADdjyMUBbsaQiwFcJ8idDgfMTglX+2SfWclqro2LBNxMd8hFAm6mO+SiANcF8mlxwRDoN/RMVtEx4kQA1x1yKwDXHXLRgOsA+by0SMt/puWIx4UHQEp0EKiSlYDrCrmVgOsKuVWAqwx5gK8LFk6L0mPulJXZcaBCdgCuG+R2AK4b5FYDrirkK2fFGb+TFohnxIcaa+SUsxNwXSC3E3BdILcLcNUg93U5DcS1msVwFeG1cRkAVx1yGQBXHXK7AVcJ8uWZscbuFK0Qz0oKg6gQepNiyQS4qpDLBLiqkMsCuAqQu7wccOWceNt+vm2IOxwOuG5hElBKRsBVg1xGwFWDXDbAqUN+9dxECPb30fOiELhvfFbypVe5kTGZATejDrnMgKsCuayAU4U8KsQPrp6boPeVfa5flAw+LtvvBnnAqUNOAXDqkMsOOEXI1y9PB5eXvX7Zriduhlxl8zuZKoBThZwS4FQhpwI4JcgXpEfCjIRQu++G/YhjS2bEQFy4fOBQBJwa5BQBpwY5NcApQO7n4wW3Lh16MW6tEcdpG29dmgZeFk7fqDLgVCCnDDgVyKkCLjvkty1Ns/VgpnSIY3jyz7UL5BitogLgskOuAuCyQ04dcFkhXzQtCq7IiAZZkgZxbOnMGMhMtHe0ikqAywq5SoDLCrkqgMsGeXSIH6xfkQ4yJRXi2K3LUiE0wJ4Xt4qAywa5ioDLBrlqgMsCucvLAV++aoYt86OQQtzfxwXrc9LB6t3jKgMuC+QqAy4L5KoCLgPkN1+RCgkRgSBb0iGOJUcFwdXzEi37eToAbjfkOgBuN+SqA24n5HNSwm2b4Iok4ljOrDiYlyb+WnU6AW4X5DoBbhfkugBuB+SJkYFwz+oMkDVpEcduWZIq9AISOgJuNeQ6Am415LoBbiXkoQE+8NVrMsFHsv3gZBD38nLCXaumC7m4ss6AWwW5zoBbBbmugFsBua/LCV+9NhNCbBpooQTimL+vC+65MgP8fTz3TsiAi4ecARcPue6Ai4Tc6QBjJIqMBzLJIY5FBPvBXaszPHJGJwMuHnIGXDzkDLhYyG9bmgZZSTQu6k4CcQz3jd+2LG1K34MBFw85Ay4ecgZcLOSrsuOMgRVUIoM4Nic1AtZM8goaDLh4yBlw8ZAz4GIhz04ONwZUUIoU4tiVcxImPPSQARcPOQMuHnIGXCzkiZGBcN+VGeB0yDMRn5KIY/hOmRY7vgeIARcPOQMuHnIGXCzk4UG+0g8lVApxHHp49+rpY44hZ8DFQ86Ai4ecARcLeVigD3z9+lnSDyVUCnHMx+UF916ZAUmRlx8CxICLh5wBFw85Ay4W8pAAb3j4+mxjBBzVyCKO4abPvWtwLGfAkNsZcPGQM+DiIWfAxUIe5O8NX78+27jYMeVII25eJum+q2YMXN6NARcPOQMuHnIGXCzkgX4uYxdKdKgcc+xPJYfb7XaDArV39cL7+wph3aJkBlxQ1Xt2Q/4b/4Rlv/4NAy6oI7/8OfhGRDDggurq6YM3d56HdQuSIJ7A2ZhaIc5xHKdj5HencBzH6RwjznEcRzhGnOM4jnDKIN7vdsNnJ8uho7vX7ruibE1tXXAor9ruu6F058oaoai6xe67oXQ7T1VAR5c6TiiDOB5x/u/dF+BPm04x5IIAf3d3Aew5WwW7T1fYfXeUBfzDQ8XGKCuGXExv7MiDt/dcgJc/Om2MVFEhJRDfcKAIdp+tMv5eUN3CkAsCvLWzx/j34fxahlwQ4DhWrK/fzZALAnzfuYtbkoXVLfDKlrPGFjz1yCN+rrwRPjpaMuQ2hlwc4GYMuRjAzRhycYCbnS1rhG0nyoB6pBFv6+yBf992bsiT34whFwe4GUMuBnAzhlwc4GabDhZDSW0rUI404m/sPA+Nbd0j/j9DLg5wM4ZcDOBmDLk4wM3l+x/bzkF3L93942QR3322Eo4W1I35eQy5OMDNGHIxgJsx5GIAN6tu6oD39hYA1UgijgsdR6KMN4ZcHOBmDLkYwM0YcjGAm+HAiBOFY68Uyhg5xPv6++HVrbnQ3ds/oa9jyMUBbsaQiwHcjCEXA/jgYcpNo+yelTVyiO/JrYLimskdiGDIxQFuxpCLAdyMIRcDONbW1QubDhUBtUghjmM6Pz02tSFBDLk4wM0YcjGAmzHkngfc7OD5Gmhs6wJKkUIcD2TWNHdO+fsw5OIAN2PIxQBuxpB7HnBzuW4/Set5SwrxLUdLPfa9GHJxgJsx5GIAN2PIL+YpwAePfKM0twoZxM+WNkKxhwfl6wy5aMDNdIZcJOBmukP+hocBx3BOlc/P0HnOkkF8yzHPrYXrDrlVgOsMuRWA6w65CMDNtp+qgJ4JjoCzKxKIl9e3GfMciEonyK0GXEfIrQRcV8hFAo61dvTA4fwaoBAJxM+UigNcJ8jtAlwnyO0AXDfIRQNuJnLFUTvEz1c0WfJzVIbcbsB1gNxOwHWB3CrAsfzKZqAQCcQvWLgwVYRcFsBVhlwGwFWH3ErAseb2bqhp6gDZc1LYH45nUlmZSpDLBriKkMsEuKqQWw04pbVx6RG3aleKipDLCrhKkMsIuGqQ2wU4ll9pjz9KIW7nOyFlyGUHXAXIZQZcFcjtBBzLr+A18SlX64HT7HWDnArglCGnADh1yO0GHGtolX8eFekR7+2z/1VCCXJqgFOEnBLgVCGXAXAMH+LePrlP+pEe8Z4+OS6bRAFyqoBTgpwi4NQglwVwM9nP3JQf8V55Xi0yQ04dcAqQUwacCuSyAY718Jq4WgtQRshVAVxmyFUAXHbIZQQc490piiEuG+SqAS4j5CoBLivksgIuq0GkEPf38QIZkwFyVQGXCXIVAZcNcpkBx/y8XSBz0iOeEBEIsmYn5KoDLgPkKgMuC+SyAx7o64LQQB+QOQKIB4DM2QG5LoDbCbkOgNsNueyAY/ESr0SSQTyRwEK0EnLdALcDcp0AtwtyCoBTWIkkgbjMu1OshlxXwK2EXEfArYacCuAYr4l7oLhwf3A5HaA75LoDbgXkOgNuFeSUAMcSeU186nk5nTAnNQKoJAJyBlw85Ay4eMipAR4R5AtJUUEge9Ijjq2aFQeU8iTkDLh4yBlw8ZBTAxxbnhULTof8ewFIIJ6VFA5RwX6gG+QMuHjIGXDxkFME3OlwwLKZsUAhEohjObNoLFBPQc6Ai4ecARcPOUXAsTmp4RAaIPf4cHKIL58ZC15EDnBOFXIGXDzkDLh4yKkCjuVk0dmFSwbxkAAfuHJ2PFBsIpAz4OIhZ8DFQ04Z8PTYYGMXLpXIII7duiQVokJo7RufCOQMuHjIGXDxkFMG3NvLCfdeOQMoRQpxH5cX/K81M4DeTpWxIWfAxUPOgIuHnDLg2E1XpEBMqD9QihTiWEZ8KNndKibk20+WG3/vH6TJzpMVDLgHIa9saL9kLuhPj5Ux4B6C/JMjpdDfP3Rhni1tIA14WkwwrJmTANQihzh229I0srtVVmbFwrqFycbfB49BvXZhEkSH0vydZOvqeYkQF37xTDuX1/88xW9fngY+LpJPeemmh75jRRo4hw00wP3Id62cDgSGVl8SPi/uvTKDxLjw4TncbprrJrXNnfC7DSegnsDVqDF8bly/IBluWZI64ud09fTB+3sLoKqxw9L7pkr48lu7IAlmJY98UArX0N/dU2Asa27iBfi64M6V0yBylPM2jlyohTd3niezjL29nPC/r58FMxPCgGJkEacEeVigD3zl6kyYkRA65ud2I+T7Cgd2B3Djf5O8dkEyZCaN/UKsamw3jj90EkFGlgL9EPDpxunoY1Xb3AH/se0cFNW0gsx5EwecPOIUIF+YHmkc7cY1mPHW3dsHG/YVQnk9Qz6ecKv+ukXJMGMCL8Sapg54Z/cF6OhmyMdTsL833JkzDcLGAfjgfeebDxfDlmOlUh6L8FYAcCUQNyH/w6aTxp+y5OvtBV/MmQYrMid3pmlPbz9sPFAIpbVtHr9vKoX7Za9flAzT48feyhkePl8Q8vYu+6+VKvs5Ggj4ZK9wk1/ZBK9/lgcNEq1o+Xl7wYPXZZEHXBnEB/Yn7y+EHacqwO5fKDU6CB5YmwnRUxyq1NffD1uPlUFuaaPH7ptK+fl4wU1XpEJC5OTnfG5u74Z/7S2AuhZ5gJEpPEB827K0CW1JXq6Orl74r135xv5yu5uVFA53r54OYYHj36qQOWUQNztf0QSvb8+zZa08JtQPrpmXBMszY4wpdD3V/nNVsD+X7tAtUccZblmaNqHN+9FWADYeKIJiyfffWh0ew8GtnMEjfKba6ZJ62HK0DC5UNYMdo2rWL0+HpUQmttIWcXOf8gcHioy1ctwvJ7qU6CC4bn4SzE+PFDZE6VxpI3x6rNSS34fCJbNuWpIKfj6euwo5jnneerwMThbVe+x7Uu6KGdGwKlvc+RgFVc2w5VgZnC6ut2TLeW5qBHwxZ7r0Fz2eTEoibtbS0Q17c6th19lKIWvmWYlhcN2CJMhMtGa/Wnl9G2w6UASdGh+Mw9Ena+cnenRLZ3AH82rgc4svyizbQeK185MsuxBLRUM7bD1eapyg5ekVlEBfFyyZGQM5mXEQE0brLMyJpDTiw88m23WmEk4U1UPvJJ8s+KSYHhdinDWalRRmy/U/G9u6jJErjW3doFtLZ8bA0kkeKJ5IeeVN8NHhYujt0+KlMZCvywk3L02FlOhgW57XZ0oaIL+y2fiY7EFQB05gFRdizEK4ID3So7uCZE0bxAcfLMSTaXCttqyu/eKf9W3G2q23y2k86Dj0CP+Of0YG+8L0uFDIiA+R5qLNnd298OHBYiira9NmBAqufVs5sxyO08fx+rqMXAkJ8Ibbl6ePehKPldW3dA6Ajo9FT1+/MYUCjtoy/uzrN7bG4sIDjN1reEHjhPAA4984MkyntENclXQZuYJDwW5ckgqJUxiBMtl0GbniqREonD0x4sQ7dL4G9p2tBBWPd0aG+MGNi1M8MgJlKiNXPj5cYqwRqhhOUXDN/EQtdjuoGiOuQBX1bQY0LR3qzIKIB9ZWzY6XBpejF2php0WjnawIdxfiRGHZo8wzw9GIEVck3Ke/9VgpXCC+xujr7TRGR0zmDEzRVTd2wKaDReQPKkeH+BlDNMNt3MLhPBcjrljHC+pg12maa4y4b3bdomTjNG+Zz0HAYxFniR6LwHMZVku0hcNNPUZcwXByJ1wrr2mSZy6ZsUafLJ4ebYzpHT5HtaydLmmAHSfLyYzZxxkI185LlHILh5tajLii4VWDThTUwd7cKmNYlqzhqJOr5iVAeJAcQ9smOh/IztMVcLq4AWQNTyDGte+cWXHG5Q059WLEFa+ts8e49BvOKSNT/j4uWDU7DjIJXVV8pHC8Pu5iqWuRa8snLtwf1s5LUvpsRY4R16bi6hZjdIXd04Hi3DKzU8NheVacUidl4NwreOr4gbxq269og+O9l2fGwty0CHAQvNwYN7EYcY3ChxpHrxzMq7Z8f7nLywHZKRGwcHoUBPvLe+DSEwc+8eAygm712Z544YbFGdHG8Ew+cKlPjLjGa+aIueirB+EFaOemRcKCaVHgr9EZgXhqOM6IiCdjiR6/j0MFcdZBnJbAi8iBYc5zMeKahyNZ8iua4HxFMzR6aFcLrnXjJEo4EiI9LljrA2o41LOkpsWYVAvP+vTUaBbcZYITseGc30lRgbzbROMYcW4gPDCXX94EpbWtUN/SNe4LCePKX0igr3FRDJxBLi0mxDgjkLt0v3lpXSucL28ypmDF4xPjnSkRJ2OLCPY1JmHLSAg1Jn1iuDmMEedGrL2rx8AcP4YfrEM/QgN8ICLYD8KCfITN761y+NJraus2JthC0HFSs8Hhfm28sjzOISPzCVCcvTHiHMdxhOPVJ47jOMIx4hzHcYRjxDmO4wjHiHMcxxGOEec4jiMcI85xHEc4RpzjOI5wjDjHcRzhGHGO4zjCMeIcx3GEY8Q5juMIx4hzHMcRjhHnOI4jHCPOcRxHOEac4ziOcIw4x3Ec4RhxjuM4wjHiHMdxhGPEOY7jCMeIcxzHEY4R5ziOIxwjznEcRzhGnOM4jnCMOMdxHOEYcY7jOKDb/wP4yl6+OxrGdgAAAABJRU5ErkJggg==", "text/plain": [ "
" ] @@ -881,10 +790,10 @@ "source": [ "for he in [0,2.0]:\n", " for step in [0,5,9]:\n", - " tc_plot.ToricCodePlotter(z_cmap = charge_cmap, x_cmap = matplotlib.colormaps['binary']).plot_expectation_values(tc_plaq.ToricCodePlaquettes(\n", + " tc_plot.ToricCodePlotter(z_cmap = settings.charge_cmap, x_cmap = matplotlib.colormaps['binary']).plot_expectation_values(tc_plaq.ToricCodePlaquettes(\n", " code,\n", " x_plaquettes = np.zeros((grid.cols,grid.rows))-1,\n", - " z_plaquettes = {(p%(grid.cols+1),p//(grid.cols + 1),):bitstring_to_expectation_value(occupations[(he,step)][p]) for p in range((grid.rows+1)*(grid.cols+1))}\n", + " z_plaquettes = {(p%(grid.cols+1),p//(grid.cols + 1),):lgt.bitstring_to_expectation_value(occupations[(he,step)][p]) for p in range((grid.rows+1)*(grid.cols+1))}\n", " ))\n", "\n", " title_text = rf'$ \\langle A_v \\rangle $ with $h_E =$ {he}, time = {np.around(dt * step,3)}'\n", @@ -897,7 +806,7 @@ "norm = matplotlib.colors.Normalize(vmin=-1, vmax=1)\n", "\n", "matplotlib.colorbar.ColorbarBase(\n", - " ax, cmap=charge_cmap_r, norm=norm, orientation='horizontal'\n", + " ax, cmap=settings.charge_cmap_r, norm=norm, orientation='horizontal'\n", ")\n", "\n", "ax.set_xticks([-1,-2/3,1],labels=['+1','+2/3','-1'])\n", @@ -918,13 +827,13 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": null, "id": "9a77f2a2", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -947,7 +856,7 @@ "fig, ax = plt.subplots()\n", "\n", "for idx, he in enumerate(he_list):\n", - " ax.errorbar(x = np.arange(len(separations[he]))*dt, y = separations[he],yerr = separations_sdom[he],marker='o',color = blues_color_list[idx])\n", + " ax.errorbar(x = np.arange(len(separations[he]))*dt, y = separations[he],yerr = separations_sdom[he],marker='o',color = settings.blues_color_list[idx])\n", "\n", "ax.set_xlabel('Time')\n", "ax.set_ylabel('Charge separation (Manhattan metric)')\n", @@ -958,10 +867,10 @@ "ax.set_aspect(0.1)\n", "\n", "bounds = [-0.05]+[np.mean(he_list[i:i+2]) for i in range(len(he_list)-1)]+[1.7]\n", - "norm = matplotlib.colors.BoundaryNorm(bounds, blues_cmap_r.N)\n", + "norm = matplotlib.colors.BoundaryNorm(bounds, settings.blues_cmap_r.N)\n", "\n", "matplotlib.colorbar.ColorbarBase(\n", - " ax, cmap=blues_cmap_r, norm=norm, orientation='horizontal'\n", + " ax, cmap=settings.blues_cmap_r, norm=norm, orientation='horizontal'\n", ")\n", "\n", "ax.set_xticks([np.mean(bounds[i:i+2]) for i in range(len(bounds)-1)],he_list)\n", @@ -1016,7 +925,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": null, "id": "b901211c", "metadata": {}, "outputs": [], @@ -1064,13 +973,13 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": null, "id": "8cabb739", "metadata": {}, "outputs": [], "source": [ - "results_string_dynamics = simulator.run_batch(time_evolution_circuits,repetitions=reps)\n", - "results_string_initial = simulator.run_batch(initial_state_circuits,repetitions=reps)" + "results_string_dynamics = simulator.run_batch(time_evolution_circuits,repetitions=settings.reps)\n", + "results_string_initial = simulator.run_batch(initial_state_circuits,repetitions=settings.reps)" ] }, { @@ -1083,7 +992,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": null, "id": "e42ffad0", "metadata": {}, "outputs": [], @@ -1119,13 +1028,13 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": null, "id": "8f58c501", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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", 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", + "image/png": 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", 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", 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", 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" ] @@ -1165,7 +1074,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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", 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", 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q2ggGezvxxPn+wBmEHz2PXdu2o3bt2kqXyTV79uxBxy6dEVoqL4Siuf69MDIaDmfuoGiG7Di4dx9y5sypdJm6gZq4lWCjQNZcHkZ9RFiNbwC7VAlv8DEMjsdvoJ5rFWxevwFOTv81eEIyR44cQTuPDnBsWgXp61f84mT46eo9vPXbi0ljx+OnQYPoZGlC/j1+wgTMWTj/32M4e8aENxAEpLr6GOkevcWBPXtRpUoVpUrVFdTErZR/t2jdCiHFnBFTOj+QVPOIjkGa3+8gV5Qtjh44hIIFC1q7VC5hh/DPM2di6qwZyNKnJRyL50/ytpGv3uLtwh1oULUmVvuvhIODg1Vr5Tn/bvtDO/zv+iWEVv8GcEyd9I0fv4bD2XvwnTUbvXr2tGaZuoSauIywXTt/wQJ4jx+LsJrFgHzZpNwJhutP4HT1CbZu3IxGjRpZo1Su82+Pbl1w6vJfyDygNeyyZDB6n9jwSLxbdQDZQmJwcM8+5MuXzyq18srff/+NBk0b45WjDSIqFARsJai095/gePpvtGvuhuVLlsLe3t4apeoSauIy5t9dvTyx78QvCfNvqfyXk3sPH4kxoykn/xpsVU+j5k3xPrsTMv6Xf0tFzMkPnkH4kfPYuTUQderUkbVWXtm9ezc8unZJmH9LhXJyq0BNXK78u2kTPIxOIv+Wyn85ed0KlcWcPG3atJYulev8271jezg1q/rV/FsqlJMnnX+PHT8OvosXIax60S/zb6nEy8n3796DqlWrWrpU3UNN3MKcPHkSLdu0Np5/SyU6Bql/v43cUalwZP9BFCpUCHombv33tNkzjebfUol89Q5vF2xHg2qUk8fl321+cMfv168glDXw5PJvqYg5+V3MnTkbvXv1skSZxH9QE7fw+u8x48chrJbE/Fv6g1NObmL+LRUxJw84gKwfY3BIxzk5y7/rN2mE12kNiCgvMf+Wyn85uXuzlvBbuoxycgtBTdzi+XdJIIOjPBvScU5uTv4tFb3n5Gbl31KhnNziUBNXS/4tFR3m5JbKv6Wit5zcYvm3VCgntyjUxNWUf0tFJzm5HPm3VPSSk8uSf0uFcnKLQE1cbfm39CJguPEUTlceazInlzP/lorWc3JZ82+pUE5uNtTE1Zp/6zgn/5x/O6dFxi4NZcm/9Z6TWyX/lgrl5GZBTVzN+bdUQsLgeEwbOfn/f/8Jy79dVXNS0kpObvX8WyqUk5sMNXG1599SYd+78sdt5IrkMyePy7+nz5mJzL2tm3/rJSdXNP+WCuXkKYaauATWrV+HXv36KZd/m5CTHzvyC1xdXcELHbp0xuEzpxXLv03Jyc//fgaOjgrHaRIJCgpCuUquyubfKczJvTp0wsJ585WuRvWo+JVUDx8+hgC2NkBq5bJZSdjYINbeFjExsdz9ks3bd+9gcEgNG3uVRFRJYJPKFjZODgj5GCJGE7wQExODsNAwxNjZAgaVzSITk8pWjCrfBr9TuhIuoCYugX59+mDjqjVw+uUabG4+hSqJjYXd2btwvvEKv586jZo1a4InDuzajc71m+PlhNUIf/gP1Ej0+xC8nrkJpWzS4+qFi1y5B2dnZ1y/fAVl7DLD4eRNICIKquTFOzgcuoRRfQZgfcAapavhAopTTFmSlT4VIqoUUc+UNDwSjiduokyeAti7YxeyZMkCXtm0eTN69u2N9B2/R/pqpaAWwu49xdtFO9G3Ry9MmzwZBoNKXvsUEhUVhX4DB2BD4FaEsq9HzqSSE5EgwObWMzjdeI6tGzehcePGSlfEDdTEU8j79+9FOfTH39cQWreE8nIo6AMcf72GHl26Yc7MWUiVSt1xhBSuXLmCRs2bIbZ0fmRsVwc2traK1vP+5EV83HYCa1cGoFWrVtACq1atQv/BgxBWsRCQP7vyUv78feRkH147cBCFCxdWth7OoCZuAiwL9Rk3DvOWLEIY+65wZ4WWad15Dsc/78F/6TJ07NgRWuLt27dwc2+DG2/+QeY+LWGbzvoCUYiOwbuNvyD1nRc4vG8/ihcvDi1x7tw5NG7eDO9zZ0B0GRdlVlx9Cofjb7dQp0JlbNmwkauISi3wOSdUGDaVnjZlCjauWq1MTp4o/9ZaA2dkzpwZx4/8gs7fN8OLCQFWz8kT599aa+CMihUr/peTZ1ImJ4+Xf+/btZsauInQSJy3nFxD+bdac3Kt5N+qzckp/7Yo1MR5ysk1mH+rLSfXYv6tqpyc8m+LQ02cl5xcw/m3GnJyreffqsjJKf+WBW3PE7WQk+sg/1Y6J9dD/q14Tk75t2zQSFzNObkO829r5+R6y7+tnpNT/i071MTVmpPrOP+2Vk6u5/zbKjk55d9WgZq4GnNyyr9lzckp/7ZCTk75t9WguaOacnLKv2XPySn/tkJOTvm3VaGRuFpycsq/Zc/JKf+WOSen/FsRqImrISen/Fv2nJzyb5lzcsq/FYOauNI5+YdQyr9lzMkz9WyGD3t+p/xbzpy8sDMc/3eb8m+lYE2csD47d+4UHNOnE5xz5xIuXbqkdDmaIzo6Whg8dKhga5dK+K5RQyE4OFjpkjTHixcvhAqVKwm2dnbCpCmThdjYWKVL0iU0EleQly9fIk2aNMiQQb0/R8Y79+7dQ4ECBSj/ljEnf/r0qbiPCWWgJk4QBMExNDwhCILgGE018VevXrGMX+kyND11ZtKQkI+QkBCEhoYqXYamCQoKEn84WitopokHBgaKPwa7YOFCpUvRJOzk2MXLE7ny5Ma1a9eULkeTBAcHo1ipb1GhSiWEhYUpXY4m+e233+CcIweGjRwBraCJJs6aStfuXsD3ZTF6rA9OnTqldEmaY9HiRdhz/Cgi6pREg2ZN8O7dO6VL0tzS01bt3PHa2QmPbMLF45lmlZbl2bNnaN7KDbFVisIvYCU2b94MLcB9E2fNpEHTxgh1LQAUyoGwGkXRonUrPHnyROnSNMPp06cxcqwPQltWBMoXwptc6dCybRtNTUmVZvSYMTh7/yYi63yLsAZlsP/0MfjOm6d0WZohIiICjZo1xUeXzEChnAitWhTde/UUPxzGO1w3cdZEWrZpjTeZ0wBFcv17Yd5sCCmaXXzBwsPDlS6Re9jyMXZSDGtU9vPHrFmj+evJXYwYPUrp8jTB9u3bsdB/GUKbVfj36xjsUyG0hSt8Jk3AiRMnlC6PewRBgNePPXAv5A1iSuT598Is6RBaOi8aNm3MvefhuomP8h6Nvx7cQqRrwQSXx5RywYPI9+hGU1KzYCfBhmz0UiavOHr5jMGA0KblsTRgJbZu3apkidxz48YNdOnuhbAWroBTmv+/ImNahDUuC7e2bfD48WMlS+SexYsXY9fhgwirWDDhNzAWzIG3mdOIgxSeZ5UGnkXm4hV+CK1V7Msvk7KxQVi1oth77CiJThNhJz/PH3vgfmwIYioX/fIGTmnExuPZ80cSnWaITDEKZF8mlTPzlzcokAMhZfOhYbMmJDrNEJkjvEcjtFoRwO7L7ySKLJ0PFx/e4Vp0GngWmWF1SgAOSfzYgl0qhNYpQaLTTJEZzmKUpL4/OmdmcR+T6DRPZKJ0/iRvF1OpCIlOM0VmWKVCQPokvmeezSorF+JadBq4FpnZjHxcPYMjiU5zRaa9XfI3LulCotNMkZksbFZJotM8kZnbyNc6p7HnWnRy1cRZk2AZYQKRaQwSnWaLTGOIovPxHYwk0WmayDRGnOicOB4nT560RonaE5nG4Fh0GngTmefv/f2FyDQGiU4zRaYx2JS0WQUSneaITGMw0dmknLgai0SniSLTGJyKTgN3IrP2V0SmMeKJzvkLFshVorZFpjGc0oijRRKdZohMY5DoNFtkGiNOdA4dMRy8YNCMyDTGf6LTe9xYEp2mikxjxInOpo1JdH5FZLq5tzUqMo1BotOIyHRrmbzINMZ/otN/9SpuRKdBUyLTGCQ6zReZxmCiM3d6Ep1fEZnnHvxtXGQag0Rn8iIzfxbjItMYnIlOg+ZEpjFIdJotMo1BotNMkWkMEp3mi0wNiU6DFkWmMUh0mikyjUGi03yRaQwSneaLTI2IToMmRaYxSHR+FpkPYj+ZJjKNQaJTFJn1mzT+91PFpohMY5DohCgyx3ibLDK1IDoNmhWZxtC56BRF5rGjCGtUxrKjl/joWHTGicygHE5AKdNFpjH0LDo/i8yKBU0XmRoQnapr4uzN3tBSItMYOhWdn0WmmwVEpjF0KjotJjJTIDrnzZ8PvWBRkcm56DSoUWQGZU5tOZFpDJ2JTjlEpjEiazPReVc3otPiIlOK6GzuijETxulCdMoiMjkWnQZ1isxCVt2uXkSnbCLTGLZMdOrjq2tlE5nGyKQf0SmbyORUdBp0ITKNoQPRKbvINIYORKfsItMYOhCdcotMHkWnQTciU+ei0yoiU8ei01oiU8+i0yoik0PRqYom7r9yJaKc08svMo2RwRER+bNi7gLtCaJZvr4IrZBffpFpjBJ58S4iFAcPHoSWuH//Pk6fOIHIyoWVLYTNKqsUwfYtW8WZgZbYtm0bwuwNQC4FZjmJRWfBbJgxZzbUgCqa+DgfH2QOFYC7/yhbyLM3SPv0HebNngOtsdp/BRxO/w0Ef1K0DrtTN1G2aAm0a9cOWqJw4cLoP2AAHA9eYsNy5QqJihZrmDJtKjJlygQt0atXL+TPnB2Gv58pW8i7EDjceoGVy/2gBlTRxLNkyYLD+w/A8dx94M0HZYr4GCY2ue1btiF/fuWmw3JRr149TBwzFo57zolvdEW48RiZHr7B3h07kSqV9fNMuZk7azbK5ioAu1M3lClAEJDmlyuoX7k6Ro0YCa3h4OCAIwcOIu2918BzhVaIRETB8ffbWLZoMcqXLw81oIomzihTpgz8ly6D4/EbQHikdTceFQPHEzcwYYwPvv/+e2iVYUOHolHVmkhz+LL4hrcqL4PheOwaDu87gKxZs0KL2NraiieoLE/eA9cfWX37hr/uIU94KmxcsxY2SnkPmcmXLx92b98Bh7P3xIGXVYkV4PjnPXRt74EuXbpALaimiTM6duyI7p27wpFN+601JWWjlz9uo1H12hg+TD3GWQ7YG3tdwBrki7aH4fxd6204LEKcAfgtXoqyZctCy2TOnFk8UbFBAV5aUd4+eoW05x/gCJvROiok/axEnTp1MHn8BDj+cQeItt5SP7trj1EylwsWqOzbI1XVxOOmpKXZlPTCA6tsz3D9CfLCAetWr9Hs6CU+7A3O3ujsDY+HL+XfYGwsHPdfgFeHTvDw8IAeKF26NFYsXQ7HPX8BoRHyb/D9Jzjsv4DAzVtQoEAB6IEhP/2EJrXrIc35+9aZVT56hYwvP2Hfrt2qiwJV18TZDmI7KvOLT/KLTiYybz4Xczatj17i4+Ligp3bAsU3vtyik4nM0tnzwVeDsjg5OnTogB6duognMFlnlUxk7vkLY0eNRv369aEX2IBrbcBquNilk190MpF54SEO7duPbNmyQW2orolbTXRqXGSqQnRqXGQqLjpFkXlVsyJTFaIzQn0ik4smHic6/ZYslUd06kRkKio6mcg8fl3TIlNp0fmvyLTVtMhUVHTGqlNkctPEGSxD9WJTUkuKTh2JTMVEZ5zIXLRE8yJTMdH56BWcdCIylRKddioVmVw1cQbLUi0pOvUmMq0uOnUoMq0uOv8Tmdt1JDKtLjofqVdkctfELSo6dSoyrSk67U7rU2RaTXQykblXfyLTqqLznbpFJndN3GKiU+ci0yqik4nMB/oVmbKLzjiRWUmfItMqojNC/SKTyyZutuiMJpGZItF5xATRSSIzhaIz5d/5TSJTZtEZK8DxrPpFJrdN3GTRKYrMOyQyUyI6o1IoOklkmiA6r6dMdJLITLHodEqh6BRFZk71i0yum3h80WkvUXSKIlNIQyIzpaLzr4fSRCeJTJNE58plftJFJ4lM00Rnne/gIFV0ciQyuW/icaIzkxTRSSLTZNG5S6LoJJFpGu3bt8eP7HuCjIlOEpkmYWNjgzWrApBPiuh8FwJHjkQm9008TnSyHZ6s6CSRaRZ169Y1LjpJZJrFnJmzkhedcSKzYjUSmXKJzoh/ReZSjkSmJpo4g2Wvoug8cfNL0UkiU37R+YpEptyi03DhPnKHGbCBRKY8ojOWT5GpmSb+WXR6dIbj6VviCyJCIlN+0clE5u7zJDLlFJ1MZJ67j6MHDsLJyUnJEjUrOu04FZmJsRE4/zXV6Oho1KxbBxfCXiHStRAM1x6j0NtYXDr/F+XgFuLRo0coXaE8PjQqDeTLBscdf8KrkRsWztPeb5EqBfvR3e4D+yHUo6YYXzlsOI3dWwMpB7cQgiDgh44dsO/C7whjv4P6+DWy3Q7C9ctXuMzBNdXEGW/evMG3ZUrjZRZ7pH8ajMt/XaQc3MIcP34cTVu7IaqgM1ydnHH62HHKwS3M4KFD4L83UMxpffoOwuiRo5QuSVOEhYWhXEVX3In5iDTP3uH0iZPc5uCaa+KMy5cvo3HzZli7KoBycJmY6+uL5atW4H/HT1IOLgMxMTFo3KK5+APHm9etpxxcBh4/foxa9epi0rjxXOfgmmziBEEQeoRrsUkQBKF3qIkTBEFwDDVxhWXhlStXlC5Ds7CVSxs3bsS7d1b81Xmd8eLFC2zbtg2xcv6OKJEs1MQVElijvb3RsZMH6tarh3Xr1ildkuYICgpCjbp10H3IQHxbtjSuXbumdEma48yZMyhfoQKGjRoJt9at8PHjR6VL0iXUxK1McHAwmjRriqMnj8Pv0E74bluLMePHYdDgQeLIkTCfixcvio37gs17hP/4Hf4pnweVa1TH1q1blS5NM/j7+6Np8+YYNG0cAn7dC0M6R1SsVAm3b99WujTdQU3cily/fh0VXF2RIXcOzN60CpmyZkHBYkWxfH8gzl65hHrff4fXr18rXSbXrF+/HjXq1sarKgUQVbckYDAApfMjtF0VePbrjWEjhoszIcI0IiMj0at3b0yfNRMLd2xA9QbfwT51agybORktvDxQrXp17N27V+kydQUtMbQSgYGB4sHfZ9xINHJv9cX1rLGsnDkPJ3YfwK6dOzXxIQRrwmYxg4b8hNVbNiG0VUXAOeOXN/oULn79a4W8hbE7cLu4HpuQzj///INWbVojdfq08F4wE07p0n1xm2vnL2JCr0Ho07s3xvr4wMBOooSsUBOXGdacfcaOxZp1azF5xSJ8U7pksrc/vu8g5o2eiHm+vujcubPV6uQ9/27Wyg1Xg54itHl5wCF10jeOjYX98evil04d2X8QJUsm/3oQ/59/t27TBk06uqPL4L7JNuegFy8xvudAuOTOgw3r1iPdV5o9YTnoNGml/Hv5ge1GGzijbrPGYk7uM4Fy8hTl34YPCG1bOfkGzjAYEPldKcrJTcy/uw3pb3R0nTWHs3gMU05uHaiJy5x/Z8yT83P+LRWWky/bF4hzVy9TTi4l/65aAFF1vv03/5bKfzl5N8rJU5R/S4VycutBcYqc+ff4UWjU1s3kx6Gc3Iz8WyqUkyeff2dIB+/5M76af0uFcnJ5oSauYP4tFcrJE+ffLXE16Jnx/FsqlJObnH9LJejlK0zoORD5cuWmnNzC0CnR0vn3qeNYflBa/i0VyskT598fpeXfUonLyStQTv45/54+XlL+LZWsztnFY9g2vRPl5BaGmril8++Nq5Api/T8Wyp6z8nNyr+lUkq/OfkX+Xf9ehbfhp29PYbOmIQW3TtRTm5BKE5RSf4tFb3l5BbNv6Wis5zckvm3VCgntxzUxFWWf6ckJ5/vPQm+c+dqNieXJf+Wik5ycjnyb6lQTm4Z6PSnsvxbKlrPyWXLv6Wig5xcrvxbKpSTWwZq4irMv6VS4JsiYk5+/toVTeXkYv5drw5eVS0oX/6t45zcGvm3VCgnNx+KU1Scf0uFNZZVs+bj+K79XOfkCfLv1hWB7FbIv3WWkyuRf0uFcnLToCbOQf4tlRP7D4nryXnMyRPm3xUAB3uoDs5zciXzb6lQTp5yqIlLwGesDzZt24p5gesUjU+k8ODWHfRr2R6rAwLQunVr8MI3pb7F/dRRiG5cTtn4RAp/3UXqY9fw/OkzZM6cGTzw4MEDFCtWDD6LZos+Rc1ERUZiUt8hsI2KwS9HjipdjupR+btFHTRr2gyhH0Kwb/1WqPmcFxEWjo2L/ZC/QH5UrFgRPNG7+4+wu/cSeKTyXP/tRzhefIQ27u5cjRKdnZ1FGb91eQBe//MCauaPX0/gyp/n0aUTX7NJpaCRuESeP38u/gRV2qyZMcp3OhzTpoWaePH0GcZ2748yJUti1YqVcHR0BI+/Oerm3hYhrvkRW6kIYGMDVXHnORwOXsLMKVPRr28/2KitPiOwt/rUadOwcPEijF/ii9KVXaEm2O90rpq9AL8E7sbOHTu4G4goBTXxFBAREYG+/frh5G+nMXnlYuQtmB9q4ML/zmBK/6EYOXwEhgwZwl1zic+jR4/QoFkTPLaLQnijMoBdKjV0P9j+fgvpLj/B3p27UKNGDfDMgQMH0KVrV3Qd2h9uXTqq4nj5+P4Dpg4YBkREYfu2QHHmQEiD4pQUkDp1aqxcsQJDB/+E/m4dxGmfkrDz7zb/AEzpNxSbN27C0KFDVfGGNAcXFxdcOnseTYqWheP600BwiLIFRUbBYdc5FH8r4Nqly9w3cEaTJk1w5o8/cGDdFswa7oPIiAhF63lw+w76NG2LssW+xfFfj1EDTyE0EjeR//3vf2jr7o4WXTqg08DeVm+eLP+ePXIsnt25jz27diN/fnXMCiwFOyznzJ2LcVMmIYytVingrEz+veMs3L5vhFV+/uJJXEuwX6fv0q0r7j56iEl+C5AtZw6r13Dq4BHMGTEOs2fNgqenp9W3rwWoiXOYk2sh/1Z9Ts55/q32nJzyb8tBTZyznFxL+bcqc3KN5d9qzMkp/7YslIlzkpNrMf9WXU6uwfxbbTk55d+Wh0biHOTkWs+/VZGTazz/VkNOTvm3PFATV3lOrqf8W7GcXCf5t1I5OeXf8kJNXMU5uR7zb6vm5DrNv62Zk1P+LT+UiaswJ9dz/m21nFzH+be1cnLKv60DjcRVlpNT/m2FnJzyb9lzcsq/rQc1cRXl5JR/WyEnp/xb1pyc8m/rQ01cJTk55d8y5+SUf8uek1P+rQyUiSuck1P+bYWcnPJv2XNyyr+Vg0biCubkzTr9gKcPHlL+LWdOXrs4HM/dp/xbxpy8aQd3+E+fQ/m3QlATVzAn79jJA3ny5IHfsuWUf8uUk3ft0R0jhgyh/FvGnHzT5k1YvSqA8m+FoCZOEATBMZSJEwRBcAw1cYIgCI7RTBOPjo5GQEAAPn36pHQpmuXx48fYsWOH0mVomt9++w3nz59XugzNIggCNm7ciFevXkEraKaJDxk2DP0HDURXL09V/yI9r4SGhqJp82bo6umJdevWKV2OJrl06RJauLVEoyaNce/ePaXL0SS+vr7o1ac32ri3RVRUFLSAJpr42nXrsG3nDozYsRIXblzFrNmzlC5JU7CTomd3L+QsWhCzAtdg8JCfcOHCBaXL0hRv3rxBy1Zu6OwzFC36eKJ5y5Y0q7Qwx44dw/QZM7Bw/zZEpzJgyNCh0ALcN3HWTAYNHoTOc8chfbYs6DR7HGbMmoUjR44oXZpmmDNnDq7cuI5+U8ci/zdF0GeyD1q2aoXXr18rXZpmosA27u4oW782qjSpj+87tkXO4oXQpVs3mlVaiIcPH6J9hw4YNv9n5MiXB0PnTcee/fuwZs0a8A7XTZw1kRZubmg5egByFi4gXpYpR3a0nz4aHTt1woMHD5QukXuOHj0qnhRHL/NF6jRpxMtqNKmPmi0aoW07d7EBEeYxfMQIfIiOQLuf+oj/ZuvZu4wbjmt3/sbPM2YoXZ4mosAWbi3RurcnylSrJF6WNkN6eC+fh5+GDuHeQXDbxFnzaO3eFiUa1ESZ+rUSXFfYtQxqebZD0xbNaUpqBuwk6NGpE4Yv+BnZc+dMcJ3HkH6IMAgYOkwbU1Kl2LBhA7buCESf2RNhsLX9fLl96tQYsGA65s7zxaFDhxStkWcEQYBX9+5wLuiCll6dElznUrSQOLtkX07Hs+g08Cwyg2Mi0bBv169eX6ODGzIUzEOi08zRS5s+nihd9d/RS3xsbW3FKenOPXtIdJohMgcMGoiBC35G2owZvrg+Sw5n9J07GZ26dCbRaYbIvHjtKvpNH/fVT+xWb1wftdyacC06DTyLzPbTRiYYvcSHvWBu3gNJdJopMlt4Jhy9xCddhgzwXu5LotNMkZmvWJEkb1fMtRyJTjNFpvdyX6RxcEjydh4/9eNadBp4FZmd5oyFY/p0yd7WPk1qEp1mikxj3zfCRGfvSWNIdJohMo3BRGeOYgVJdJooMp3z5Er2tnGzSl5FJ1dNPCgoSBSZLUb1R64iBSXdh0Sn+SLTGDWbNkCN5g1JdJooMo3BTqRdx48QReeMmTNlr0+LItMYPItOA48is2yD2im6L4lO80WmMToN7U+i0wyRaYw40TnHdy4OHz4sa41aFZnG4FV0GngSme+iw5MUmcaIE51dPGlKaorINEbclHTH7t1Yu3atLDVqXWQag4nOPnMmwaNzJxKdSTB37txkRaYx4kRn67ZtuBGdBp5E5g9TkxaZxogTnRdvXiPRaaLINAYTnWP85pHoTDIKbGlUZBqjeMXyaN6bRGdSIvPnmTONikxjMNEZY2fLjeg08CQynTKkN+uxSHQmLTIvX78mSWQagz7R+fUosG27dijXoI4kkWmM+h4kOs0RmVJnlbv37eVCdBq0JjIlic5po0h0JhKZTOpIFZnGINH5pch8HxUuWWQag0Tn16PAVr26SRaZUkQnm1XyIDoNWhSZxihcsSyJTjNFphTRGW4Tq3vRGScy+86ZZHIUmKTonE+iU4gnMt26d7boY7sULcyF6DRoVWQaQ++i01yRKWVKyqa2ehad5opMY2TJSaJzrpkiUwui06BVkWkMPYtOS4lMY+hZdFpKZBpDz6LTUiJTquhk0YoaUV0Tv3jxosVEpjH0KjotKTKNoUfRaWmRaQw9ik5LikxjfP5E5z51fqLToLbRCxtRWFJkGkNvolMOkWkMvYlOS4tMqaLz6u2buhCdcohMnkWnQW0is3j9GhYXmcbQi+iUU2QaQy+iUy6RKUV0suxd66JTTpHJq+g0qE1kNurXTZHta110yi0yjaEH0Sm3yDSGHkSn3CKTR9Gpiia+ecsW2UVmSkQn+yJ+rfFjz56yi8yUiM4rV65AS7x//94qIjMlojMiIgJa4tSpU1YRmVJFJ4vN1IAqmvjTZ0+RLmsmpHF0VLQOu9T2yJjDGU+ePIHWePrsGXK55FNk9BKfjFkyi1N/9n3aWiI8PBwfP35EVpklmxScXfLg9etXmvMPL168gFP6tEinwCwn8awyh0tePHn6FGpAFU18yOCfUMA5F/bNXa5oHccDtgDBIfh52nRojY3r1+PQxkCcPXZKsRqio6Lwc79h8OrWDXXr1oWWcHZ2RsDKVVg0cDSCXwcpVsfLx0/hP2oydgRuh5OTE7REu3bt8F2dupg31AexsbGK1fHrjj24dPJ/WOHnBzWgiiZuMBiwZeMmPDp7GWd3KyNlbv52Fme37sPeXbuRxkqrNqxJ7ty5sX3bNswfPhbPHjxSpIaVU2YjR6YsmDxpMrSIm5sbevbogcWDfRAdaf28NPxTKOb3H4mJ48ejZs2a0CJLFi1GRPAHbF3sr8j27169gZVT5mDv7j3IlCkT1IAqmjgjY8aM2L9nLw7NX4nH1/626rZfP36GbeNni02ONTutUr16dbGBTu05GKEh1l2Fc3TbLlz57Qw2b9wkTke1ysQJE5HPOSc2/DzPqttlMn7FmCmoWaUa+vXrB62SOnVq7Ny+A4c3bsfZX09addvBb95iWp8hWL50KUqWLAm1oJomzihRogRW+vtj/Ygp+PjmndVGL+uHTsSUSZNQo0YNaJ0+vXujTs2amDdsrNVW4dy+cg0B033F0Qs7WWsZNqvctGED7p69hBOBe6y23X0r1iHs1Tv4LVumuPeQm1y5cv07qxwxDk/vP7RaFDiz/3B08fCAu7s71ISqmjijdevW+LGbFzaOnIqYKHnFDGtigRPmoF6N2ujbpy/0AHuDL128BGFv3mHr4hWyby846A2m9xkK/+XLxZO0HsiQIQP27dmDbXOX4O6V67Jv7/LpP/Dr+m3Ys2uXJqPAr1GtWjVMnTLVarNKNgjJmi6DuE21obomzpgyeTJcsuWQXXQykSm8C8GyJUs0P3pJPCXdtWMnDq7fKqvojBOZnl26oE2bNtATxYoVw6oVK2UXnXEiM3DrNuTJkwd6onevXqhXu7bsopOJzAvHT2PLps2qjAJV2cStITq1LjLVIDq1LjKVFp16EJlKi867KhSZXDRxuUWnXkSmkqLzaOBuXYhMpUSnKDJ9pmpeZCopOoNVKjK5aeJyiU69iUwlRCcTmat1IjKVEp2iyHz5VhciUwnRGa1ikclVE7e06NSjyEyJ6NyyyN9iIpM1F72IzBSJzsvXzH48PYrMlIjOTx9DzH68VdPmqlZkctfELSk69SoypYrOQxu2mSU69SwyJYvOQd5miU49i0xric5fd+zBxRO/qVZkctnELSE69S4yrSE69S4y5RadJDKlic7I9x9NFp08iEwum7i5opNEpvyik0SmvKKTRKb8ojOYE5HJbRM3VXSSyJRfdJLIlF90ksiUV3RGcyQyuW7iKRWdJDJNF53hb4OxRcKUVI+fyLSU6Az0XSpJdJLIlF90rpo2F9nSZ+RCZHLfxFMiOv/9atlP4vSIRi8miM71yYvOz18t27WreHIlUiY6V/qvMCo6SWSaJzq/q1PHqOiME5m8RoFcNnEpojNOZO7ZuUtsSoSJU9JkROfKqXNEkTlp4iSr16cH0Uki03wWL1yUrOjkUWRqookbE50kMuUXnb9s340rp//gdvSidtHJosCVPtNQo3JVEpkyic5gTkWmZpp4UqKTRKb8olP8atlpJDLlFJ1MZIa+fCO6BooCLS86ozkWmV8gaIDR3t7CN65lhZnnDgrl69cWunp6CrGxsUqXpRnCw8OFipUrCV2HDxQ2/XVSyJEnt7B9+3aly9IUN2/eFDJnzSJM2rpKGLlivpA9h7Pw5MkTpcvSFEuXLRPyFyksBF47I7Ty6iw0aNRQiI6OFnjHhv0POIdJi8bNmuLa3VvIkTELfj/9G+XgFub58+co7+oKh3RO6OjejkuLr3Z27dqFnn16IyY6Brt27KAcXAZ69PwRx06dghAVhQvn/+I2B4+PJpo4Izg4GN5jfTBm1GjKwWXizJkz2Lt/HyZNmEg5uEws9/NDunRp0bFDR6VL0SQRERHwHuMNz26eXOfgmmziBEEQeoRrsUkQBKF3qIkTBEFwDDVxhQgPD8fgIUMw19fXar86rzcePHgA9/Y/4NQp+X5HVO/s27cPHp074cWLF0qXoluoiSvA06dPUb1mTZy5cRlLA1agXfsf8OmT/L/YrSeOHj2KipUr47VdDFq2aY0FCxfSydLCK8ImTpoIrx974FVsBMq5VsCff/6pdFm6hJq4lTl9+jQqVHRF4dqV0HfeVIxatwSvokJRqUoVceRImAdr1LNmz0Z7j45oN20kWg7rg74BvpizeAG6dOsqzoAI8/j48SNatnLDpt07MHqLHzzGDoH76IFo3LQpVqxcqXR5uoNWp1gJtpuXLFmCsRPGo/t0H5SuWTXBdUfXbcNB/7XYuH4DGjRooGitvBIaGopuXp44d+0KOs0ai8y5nD9fFxEWhu0TfRH16p34wyB58+ZVtFZeuX37Npq1aIG8ZUugvfcg2Nnbf77un/sPsWTgGDSp3wAL5y+AfbzrCPmgJm4F2OivZ+/eOH3md/RbMA3OLl9vIH+fvYDlw8Zj+NBhGDF8OH3cOgWwWUyzli2QziUXWvkMgn2aLz/sxQ71k2u24o9NexC4dStq1aqlSK28snfvXvEk2WJAd9Ru5/bV24R+DMGqUVNgFx4lfmdJjhw5rF6n3qAmboX8u2WrVrDPmhFeU72Rxskx2dsHPX+BJYO8Ubb4t1i9KgBOTk5Wq5Xn/LuDhwdqdXNHjY6tjJ78bv1+HlvGzcLEceMxoH9/OllKyL8nT5mMxUuXoufcSShcrpTR2+9dEoAzuw5i1/YdqFy5stVq1SPUxGXOv9u2c0cdjzZo2qOz5GYRGR6OtRNnIejOI/HHAwoUKCB7rTzCDt3Zc+bg55kz8MO0UShSsazk+wY9eY71wyahVuWq8F/uRz+2kEz+3bGTB+48fYRevpORKXs2yfe98OsprB8/CzNnzECP7t1lrVPPUBO3cv6dksegnNy0/FsqlJObnn9LhXJy+aEmrlD+LRXKyU3Lv6VCObnp+bdUKCeXF2riCubfUqGc/Cv5t2c71OjgZrGTGuXkpuXfKXlcysnlgZq4wvm3VFhOvm7ibLy+81CXOXn8/Lv9tFEonIL8Wyp6z8nNyb+lQjm55aEmroL8OyXb+mV9oJiTb1i3Xjc5efz8u/PssciUM+X5t1T0mpNbIv+WCuXkloWauIryb6noKSf/nH/nz41WYwaalX9LRW85uSXzb6lQTm45qImrLP+Wypt/Xoo5eZliJTSbk8uVf0tF6zm5XPl3SrZPObn5UBNXYf6t95zcGvm33nNya+TfUqGc3Dyoias0/9ZrTm7N/FuvObk182+pUE5uOtTEVZ5/6yknVyL/1ltOrkT+LRXKyU2DmjgH+bcecnKl82+t5+RK599SoZw85VATl0C/Af2x98ghTAxcjVT2dlAz716+hnfzjlg4bz48PT3BCy4FCqBgrYpoMaQX1M6lwyewduQUvHz5EtmzZwcP3Lx5EyVKlMDwgAUoUcUVaoa1pBWjJiP8eRD+OndO6XJUD/0ohASmTp6CEoWKYnb3QXgf9AZq5cmtu/i5c1/08OqOzp07gyd279yJuyf/xIF5/oiNiYFaObf3CPbMWILAwEBuGjijePHi8F+xAv7DJogiUa1ERUZi3fiZCLr9EJs3blS6HC6gkXgKpnljx4/DilWr0Hf+VBQsVQJq4s+Dv2DDlLlYNH8BPDw8wCNv3rxBa/e2eBPxCe2nj4ZThvRQCzFR0djn64eHZy5i/569+Pbbb8EjZ8+eRcvWrVClZWM07+cJg8GgqlnkssE+KJa/ENavXYt06dIpXRIXUBNPITt27ECPnj+i7dC+qNm6mdLliKPW7fOW4+KRE9izcxfKlSsHnomOjsaIkSOxMXArOs8eh1xFCypdEj6+fYdNI6chb5bs2LppMzJmzAieYT9q3KpNa0SlsYPXzz5wTJdW6ZJw58IV+A0dh0H9B2CM9xhuXIMaoCZuAjdu3BBXURStUgE/jByIVHapFKkjJPg9/IdPRDpbO2zfFoisWbNCK2zcuBH9BgxA85F9UK5hXcXqeHL9FtYPn4LuXbthyuTJsLW1hRaIjIzEwMGDsP/IYfRdMBU5C+ZXpA7Wfk5s2YV9i1dh7eo1aNq0qSJ18Aw1cRMJDg5G+44d8SToJfr4TkaGrFmsnn8vGjAa7Vq3wexZs5AqlTInEjm5dOkSmru1RLG6VdFogBcMVm6gLP8+6LsCK/z80KZNG2gR9sPGw0eOQOeJI1D+u1pWz783TfHFs6u3xA+rFSlSxKrb1wrUxDnMybWQf6s5J9dK/q3mnJzyb8tBTZyjnFxr+XeKc/JtW9Bp9jjk/qaQbNvSWv6txpyc8m/LQk2ck5yc5d9+wycgva295vLvFOfkI/qgXCPL5+Razb/VkpNT/i0P1MQ5yMkf37qDxQO8NZ1/pygnb9kSxepVRcP+XrBNZZlGq4f8W8mcnPJv+aAmrvKcXE/5d0pz8qDwT+gwfRScMmYw+bH0ln8rkZNT/i0v1MRVmpOL+bfvMlw8elJX+bc1c3K95t/WzMkp/5YfauIqzMkp/5Y/J9d7/i13Tk75t/WgJq6ynJzyb/lzcsq/5c3JKf+2LtTEVZSTU/4tb05O+bf8OTnl39aHmrgKcnLKv+XPySn/lj8np/xbGaiJK5yTh3/6RPm3zDk55d/y5uQ5CrhQ/q0g1MQVzMkfv/oHwa/fUP4tY06erVhBPDh/hfJvGXNy9itBH56+pPxbIaiJK5iTz53ni7y58+CHH35QuhzN5uRTp01Ddy8vyr9lzMm379wBH+8xlH8rBDVxgiAIjlHPz3oQBEEQKYaaOEEQBMdQEycIguAYauIEQRAcQ02cIAiCY6iJEwRBcAw1cYIgCI6hJk4QBMEx1MQJgiA4hpo4QRAEx1ATJwiC4Bhq4gRBEBxDTZwgCIJjqIkTBEFwDDVxgiAIjqEmThAEwTHUxAmCIDiGmjhBEATHUBMnCILgGGriBEEQHENNnCAIgmOoiRMEQXAMNXGCIAiOoSZOEATBMdTECYIgOIaaOEEQBMdQEycIguAYauIEQRAcQ02cIAiCY6iJEwRBcAw1cYIgCI6hJk4QBAF++T/TNg/7DabZCAAAAABJRU5ErkJggg==", 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M0ciWPw9//eOL17F30nyMGj4CY0ePQapUqaQuVbE8fPgQLdu0RsYi+dB67J9Ia5meP3H+s9EXZ7YGwnfHDtSvX1/qMhVNYGAguvd0QRVXJ5Rp/Tt/XdSXcByd6YWMURwCd+1Gnjxfj21CfKiJmwk2Cmxl1xawzYhmbgORzsoy0e0fXr1BoPs8VPqtNDauWw8bGxvJalUqhw8fRucuXVCnhyNqdGjzw8nw7unz8JvkiUnjJ2DI4MF0sjQg/54ydSqWeHuhyZShyFO6RKLbufh4BG/Yhbv7jyPAfxdq1KghWa1agpq4mfJvBydHVHBsgerOdkk2j9ioaByZ54PPD55hf+Ae/PLLL2avVYmwQ9hjrgfmzJsHxxlj8Evlckne9+3TF9g2ejrqVK2O1T4rYWVlZdZalZx/d3R2xo2QB2gyeShssmdN8r4PTgXjhIcPPGbPRp/efcxapxahJi4ibNcuXroUk6ZMRouJg1G0ekVBj7ngdwCn1/liy8ZNaNasmVlqVXL+3c2lBy7evI4Oc9yQJXdOvY+JjojE7ukLEfvqPfbsDkDBggXNUqtSuXXrFlq2bYPMpYuizqBuSJ02rd7HvHvyDIfGz0erxk3htWQp0qVLZ5ZatQg1cRHzb9c+vXHizL+J8m+h6HLykcOGY9yYsTT1/wlsVU+rtm2Q8Zf8aD1mIJ9/C4XPyTf54cyWAOzcvh0NGjQQtValEhAQgB6uPRPl30JhOfmxmcuRISqecnIRoSYuQf4tFF1OXvHXUnxOniFDBpPXquT8u5OzM+q6OP00/xYKy8n9J3tiojvl5N/n35OmTIGXjzcaTx7yQ/4tlIQ5+W4/f9SsWdPktWodauIm5sSJE3z+XdGpZbL5t1AS5uT7AgJRtGhRaBnd+m8PT0+9+bdQ3j17ia2jplFOniD/7uDcGbdCHqHxlCGwsU06/xbKg1PncdxjBTxmzULfPn1NUifxFWriJl7/PXnqFMH5d0qem3Jyw/JvobCcPGD6IsS8eqfpnJzl3y3atEbWssVR+8+ugvJvoehy8pZ/NMHypcsoJzcR1MRNnH/bzRqDrPlyi7IdLefkxuTfQtF6Tq7Lv6v2ckLpVinLv4VCObnpoSYuk/xbKFrMyU2VfwtFazm5qfJvoVBOblqoicso/xaKVnJyMfJvoWglJxcj/xYK5eSmgZq4zPLvlNRwwf8gTq/dqcqcXMz8Wyhqz8nFzL+FQjm58VATl2n+LZQnl65jz0R15eS6/DvTLwXQauxApE0v3RtbrTm5OfJvoVBObhzUxGWcfwvl4+tQBLjNVUVO/u37T1j+7dRaNiclteTk5s6/hUI5ueFQE5d5/q2VnFyXf8+dPx/tWf5dqSzkhtJzcinzb6FQTp5yqIkLYNPmzfhzyGDJ8m9DcvLDBw6iSpUqUApde3THqfPnJMu/DcnJ//vnFKytraEEQkNDUa1WTUnz75Tm5B3t22Ohp6fU5cge+lEIAXz+8hmp06SBpY2837BsdmCZyYafMkdERkJpP6OW3sYaadObfv23KWHHgVXmjPj06RO/n5VCXFwcIsLDkT6jDSxSp4acSWtpiXTWVgj7QD/7JgRq4gLo16cvVnuvwK4xs3F5z1+QI/GxcTi+dAPOrdqJE0ePoW6dOlAS7PunW9ZtiBU9huL57fuQI5/evse6gW6w+RSNi8HnFeUecuXKhUvnL4C79xwH3OYh8tMXyJFnl2/Cr9949O3cDWtXrpK6HEVAcUpKv5KzTWtkL/crfh/qIpspafiHj9g7cQFy22SG/46dsLW1hVLZtm0b+g8cgGYj+qJCs4aQCyHXbmH72Fno09MV06ZOhYWFMsc/MTExGDxsKPz3BqLptOGwLVIAcoC1oau7D+Pihl3YvGEjmjdvLnVJioGaeAr58OEDOjp3xp3nIWgzfQQySCyHXt19iN3jPNClQ0d4zJ6DNGnSQOlcuXKFX2JYtG41NP7TBanTSDv9Dw48hL+WrMOaVatgb28PNbBm7VoMGzkC9Ua4oli96pJL+ZML1yDiwXNeyhcrVkzSepQGNXFDl2lNngyvlSvQdvpI5CvzqyR1XD8ShKML1sBr6TJ07tQJauLdu3do38EJLz6HwXHGWNhkyWT2GuJiYnFggQ+enb+GfYF7ULJkSaiJc+fOoY29HYr8UQvVejoilQSzi0+v3+LwpIWoWLwkNm/YoKiISi5QEzeC3bt3w6WXK+r2c0b51n+YNf8O8t6MRyfPYW9AIMqXLw81wmTcmLFjsXHbFnT0GI+8vxY1a/69Y9ws/JIrL7Zv2YrMmTNDjbx69Qp2Du3wDjFo5D4QlhltzJp/H5myGCOHDoPbuHGyW7arFKiJKywnV1P+LdecXC35t1xzcsq/TQs1cQXl5GrMv+WWk6sx/5ZTTk75t+mhJq6QnFzN+bcccnK1599yyMkp/xYHauIyz8m1kn9LmZNrJf+WMien/Fs8qInLOCfXYv5t7pxca/m3uXNyyr/Fh5q4THNyLeff5srJtZx/myMnp/zbPFATl2FOTvm3uDk55d/i5+SUf5sPauIyyskp/xY/J6f8W/ycnPJv80JNXCY5OeXf4ufklH+Lm5NT/i0N1MRlkJNT/i1+Tk75t7g5OeXf0kFNXOKcPOzFK8q/RczJHaaMxIk12yj/FjEnL9m6EY5MXkz5t1SwJk6Yn127dnGZs2bl8hcqyF26dEnqclRHbGwsN2LkSC5turRc0xbNubCwMKlLUh0vX77katSuxaVLn56bPmMGFx8fL3VJmoRG4hLLIktLS5JrInL//n0UKVKE8m8Rc/KnT5/y+5iQBmriBEEQCoaGJwRBEApGVU389evX/DInQrypM5OGhHh8/vwZ4eHhUpehakJDQ/nPFqgF1TRxX19f/sdgly5bJnUpqoSdHLv1dEHe/Plw7do1qctRJWFhYfitbGlUrlEdERERUpejSv755x/kzpMHY8eNhVpQRRNnTaV3377oPNsdE6dMRlBQkNQlqY6ly5Yi8OgRRDUojSYtW+D9+/dSl6S6paf2To54kzsDHqeORHfXnjSrNDHPnj1DO8f2aDN+MNZv3YLt27dDDSi+ibNmwj7c0WSoK8o1rod2k4ajvZMTQkJCpC5NNZw8eRJjxo9HeNsqQMWieJs3A9q2d1DVlFRqxrm74+zDW4j+vQwimlXAvpPHsGDhQqnLUg1RUVFobW+H8u2aoXyLRmg3awz6DujPfzhM6Si6ibMm4tixAwrVqIhKLb9+J0mJWlVQtUMr/oMIkZGRUpeoeNjysTbt7BHRrDyQ9euHOKIblMb5J/cwWkVTUinx8/PDkpXeX0+SqS2AdGkQbl8V46dOxvHjx6UuT/FwHIe+/fshLpMVandvz1+X59ei+H2oKz8AVLrnUXQTdxs/Hk/fh6LpYNdE19ft5giL7JnRq28fmpIaATsJNm3VEp/KFQCK5vnfDRYWCG9ZEcvXrsaOHTukLFHx3LhxA91ceyLCvhpgY/m/G7JmQETLSrBr74AnT55IWaLi8fLywl8nT6DlhMGJvoyrXLMGKFS7Mhw6OCl6VmmhZJG5ZsM6OM4ci9RpE3/XCHuh7CYMRdDp/0h0Ggg7+bn07oUH8Z8RV734j3ewsUREmypw6dObRKcRIrNJy+YIb1ASyJvtxzsUzY3PlQrxJ1ISnYaLTPdJE9Fuzjikt7b64faGA7vj+cd3ihadFkoWmexrRzNky/LT+6SzskRHDxKdxorMyKbl2Vnx53fKnRXh9UuS6DRSZKJ80p92jKtRgkSnkSKz1YTBsC2Q96f3YV+Qxr7DSMmi00LJIjN/yZ+MEBPAXjgSnUaKzHR6flquTCESnUaKzGRJlYpEp5Eis3itKsne1yZLZkWLTkU1cdYknDp1TCQy9UGi03iRqY+vovMuxih4SiqpyNTHN9E5CSdOnDBHiaoTmfpQsui0UJrIfPLu9Q8iUx8kOo0UmfrgRWclEp3GiEx98KKzMto6tCPRaaDI1IdSRaeF0kSm08xxP4hMfSQUnUuWLhWtRlWLTH3YWCKcRKdxIlMfJDqNFpn60InOMWPHQClYqEVk6kMnOidNnUKi01CRqY9vorM5ic6fiEw7x/Z6RaY+SHTqEZntHZIVmfrQic4N27YqRnRaqElk6oNEpwlEpj540ZmRROdPROa5R7f1i0x9kOhMXmQ6NNcrMvWhNNFpoTaRqQ8SncaLTH2Q6DRSZOqDRKfRIlNNotNCjSJTHyQ6jRSZ+iDRabzI1AeJTqNFplpEp4UaRaY+SHT+T2Q+NFRk6oNEJy8yGxsjMvVBohNMZI6fbLjIFCI6X3x6L2vRaaFWkakPrYtOnciMMEZk6kPDolMnMkPzGCcy9aFl0clEpn17B7Qcb7jIFCI620wbIWvRaaFmkakPrYpOk4pMfWhUdH4TmY2MFJkpEJ0LFy2C1kRmBROITKWLTgs5isyC1SuYTGTqQ2uiUwyRqY/o+toSnSYXmQJFp/uUiZoQnWKITCWLTgs5isxmQ3qZdbtaEZ2iiUx9pNaO6BRNZOpDQ6JTLJGpVNFpoQWRqQ8tiE7RRaY+NCA6RReZ+tCA6BRbZCpRdFpoRWRqXXSaRWRqWHSaS2RqWXSaQ2QqUXTKoomvWbsWhSqXFV1k6oMdGGWa1MMSL/X9kMTcBQsQXrmw+CJTH6UK4H1UOA4cOAA18eDBA5w8fhzRNaU9hnnRWasE/Lbv4GcGamLnzp3IkDs7itWsLGkdNlkyo6JDc8xfJI9PzMqiibu7ueHtnYe4fEja3xO8f+4Sbh75B3Nnz4HaWLdyFaxO3gLCvkhaR9qTN1GhRCk4OTlBTRQrVgx/DhoE670X2bBcukJiYmG99wKmz5yBrFmzQk307dsXGVKlxektuyWt49X9Rziz0R/Ll8pjsCeLJm5ra4u9AYHYP88bz+/cl6SG9y9ewXe8B7Zt2YLChQtDbTRq1AhT3CfAek8w/0aXhBtPkPXRO+zx34U0aczrPczB/LnzUCFPYaQ9fl2aAjgOlocuo3G12hg7Wj6ZramwsrLCvoBABG8NxP2zlySpIeLjZ/iNmY3FCxehUqVKkAOyaOKM8uXL82e2baNn4EvYR7NuOzoiEttGT8e4sePwxx/mWdooBSNHjECzmnVhefgK/4Y3K6/DYH3sOg7t3Y/s2bNDjaROnZo/Qdk+DgOuPjL79i3O3UP+iNTYsn6DWVdtmJOCBQvCd/sO7Jm8AO+fvTTrtuPj4hAw0RNOdu3QrWtXyAXZNHFGp06d4OzYgR8Rx8WaZwkPkz+BM5egevlKGDl8ONQMe2NvXLseBWPTwSL4nvk2HBEF64Bg+CxbjgoVKkDNZMuWjT9RWR+9Drw0o7x99AoZzj7A4X37YW1tDTXToEEDTHQfD/+xsxFtxs92nPDZAtu0Vljg6Qk5IasmzvCYMwc5LG3wl9c6s2zv3627EfH0FdauWq3a0UtC2BucvdEznH/Ev/FFJz4e1vsuomfnLnB2doYWKFeuHFYtXwHrXeeA8CjxN/jhC6z2nIfvtu0oUkS6lTHmZOiQIahdpRoOzFxmllU41//+B3f/OoVdO31lFwXKromzHeS/0xd3j58WXXQykfnvBj8+j1f76CUhhQoV4g9Gq/0XRRedTGSWy1UQC+bJa/Rijlllry7dYB14XlzRyUTmrnOYMGYcGjduDK3ABlxrVq5CzMt3ootOJjIPz12BPbsDkCNHDsgN2TVxc4lOtYtMWYjOGyGqFpmSi04mMg9fUa3IlIPojJChyFREE9eJTq8lS7FtlOlFp1ZEpqSik4nM4+oWmVKLTl5khluoWmRKKTrjZSoyFdPEGZ07d0ZnRyeTik4tiUzJRKdOZC71Ur3IlEx0PnoFG42ITKlE5wmZikxFNXHGXA8Pk4pOrYlMs4tODYpMs4vO/xeZfhoSmeYWnddlLDIV18QTic7DxolOrYpMc4pOrYpMs4lOjYpMc4rOVzIXmYpr4olE51zDRafWRaZZRKfGRaboolPjItMcojNCASJTkU3cWNEZExlFIjMlovOIAaKTRGbKROe1xyl+PIlMcUVnfFwcAifNl73IVGwTN1R0ksg0QHTGpFB0kshMuej8+1rKRCeJzJSLznFzUiQ6mcjMlsZS9iJT0U08kehcvl6wyAwPeUkiM6Wi88JjYaKTRKZBonO1t49w0Uki0yDRWScFolNJIlPxTfyb6Dz2n17RSSLTcNG5W6DoJJFpGB07dkTvrt31i04SmQaRKlUqrPZZiVgBolNpIlPxTVwnOtkOT050ksg0joYNG+oXnSQyjcLTY27yolMnMqvWIpFpoOjcq0d0KlFkqqKJM1j2ykTn9tEzEP4hsegkkWkG0amBr5aVWnRaBN9Hvi+psJlEpiiiM16hIlM1TVwnOju1/yo62QvCIJFpBtHJRGbgefgsI5Epmuh89Bo2Z+7jyP4DsLGxkbJE1YrOEwoVmapq4jrRmT29DY54fRWdJDJFFp06kdnJmUSmWKKTF5nBJDJFFJ3XFSwyvycVp4KfxH779i0qVK6EwnWq4Obhkwg+e5ZycBNz7NgxtGxnh5giOVElQ26cPHpM8Qe/3Bg6YjhW7vUDIqMxfsAQjBszVuqSVEVERASq16oJq+IFcPvvUzh65C/F5uCqa+KMy5cvo42dHVavXEk5uEjMX7AAK9aswqljJygHF4G4uDg0b9saWbNkxbaNm2gmKQJPnjzBH02bYLybu6JzcFU2cYIgCC2i+EycIAhCy1ATJwiCUDDUxCWWhVeuXJG6DNUSGxuLLVu24P17M/7qvMZ4+fIldu7ciXgxf0eUSBZq4hIJrFFjRqNl+3aoUa8ONmzYIHVJqiM0NBR1GjaA6/BBKF2hHK5duyZ1Sarj9OnTKFWhHLoN7o/mbVrj06dPUpekSaiJm5mwsDA0atYEXv5bEdGzISI610H/UcMxYNCf/MiRMJ6LFy/yjfsCPiCy5+94USEfqtepjR07dkhdmmpY4eODRs2b4n3zcogc3BInwh6jTKUKuHPnjtSlaQ5anWJGrl+/jiYtmyM0b0ZE/14WSP3/59CIaFgHBqN0trzYp9Av4ZELmzZtQt8/ByC8URmgVMH/3fDiHb+P+7u4Ys6s2fxH3omUEx0djb4DB2DH/j0I71wHyJn5222pztyGzdHr2LJ+I1q3bi1pnVqCmriZ8PX1RfderghvWAoo/5NP4cXHI+2JG8hyLxQH9+xVxYcQzAmbxQwZPgzrtm9FeNsqQM4sP97pSySs955H5YLFEeDrh6xZs0pRqmJ58eIFv479TlQYItrXACzT/Xinx69hte0URv45GJMnToKFBU32xYaauBny77Fu47BszSpE2FcD8mZL/gE3nsDq8BV4L16Kbt26matMxeffreztcPXNU4S3rAhYpU/6zvHxSHf8OmyffcThfQdQpkwZc5aq6Py7hV0bfKpQCLENywAWyXwQ6UM4rLefQp1fy8F36zZkzJjRnKVqDmriIuffbR0dEPzoDsLtqgI2lsIeyL4h0P8sujl2xJIFC+nj7Xry72atW+J9EVvE1C0JCB35XX0E6xM3sdZnJZycnMQuU/H597AxoxDBjuGEEVVyxMYh/b7zyPUqAkf2HUCJEiXELlOzUBMXO//OlwnRLJ/V5d9CiYiGVWAwylBOrj//Zn6hZIGUP8GLd/w+HkA5eYrzb6GwnNz66HVspZxcNKiJi5p/lwbKG/FFXJSTG55/C4Xl5PsuoHKBYpST/yz/jv6ACIfqP8+/hUI5uahQE5cy/xYK5eTf5d9tcfXNM/35t1AoJzc8/xbKx3BYb2M5eVn4bt1OObkJoSZu6vz78d2vo0Oh+bdQKCc3PP8WyrXHsD5+Q9M5+f/y72pAKQMiquSgnFwUqInLIf8WioZzcqPzb6FoNCc3Rf4tlFRn7/C/ZEQ5uWmgJi6X/FsoGsvJTZp/C0VjOblJ82+hUE5uMqiJyy3/FsqNJ7A+chXLFy1RbU4uSv4tFI3k5KLk30KhnNwkUBOXY/4tlNcfYO1/RpU5+bf8+5fsiKnzm+nzb6GoOCcXNf8WCuXkRkNNXK75t1DY967sOY/SWfOoJif/mn8PRPjvZcTNvzWak5sz/xYK5eSGQ01czvl3SnLyoJvIcveNonNySfJvjeXkkuTfQqGc3CCoiSsh/xbKjRBYH7miyJw8cf5dCbCSUXNRSU4uaf4tFMrJUww1cQGMHjcWi9etQlSXetLl30J5/QFp1h/Ftg2b4ODgAKXwa9nSeJAuBrFNK0iXfwvlwn2kP34Nz58+Q7ZsMj2hf8fDhw9R/NcSiOtQFygno1nkz4iNQ9rt/6BK1vz499gJqauRPTJ/t8iDdm3tYB2XCmkuPgTkfM6LiYXlmXsoUrgIqlWrBiXRz7U30j54BTx5A1nz7hOsLz+Gg6OjokaJuXLlQpPmzWD93x3gwxfImltPkebRG/Tt0VPqShQBjcQF8vz5czRr3Qr3Yj4ggk3306eFrAj7AutdZ9G0eh1sWrce1tbWUOJvjto5tsfnSoUQX7U4kEpm0/17L2B16BI8ps/AwAEDkUpu9emBvdWnTp+OOQvnI6JDLaBILsiKeA5p/r6CzNee4UDAHlStWlXqihQBNfEUEBUVhV79+sD/8AGEt6sO2MpkJPbwFaz2BGPyuPEYNXKk4ppLQh4/fowmLVvgSdoYRDYpB6SVwbJJjkPq03eQ8UoI9uzajTp16kDJ7N+/Hx26dMaXBqXB1Sghj5NlRBSsdp5GqYw5sG9XAD9zIIRBTdwAvJZ7YeS4sV9H5MXzSlcIx8Hi7F1kOPsAu3b6olGjRlADERER6OLSHQf/DUJ4m6pAFhvpiomOgdWBSyiaNiMO7tmHfPnyQQ3cu3cPjVs2xwvbdIhqXQVII+GyyVdhsN5yEs527bFs0WKkTSuzWa7MoSZuIKdOnUJrezt8KpcfsbV/M/9ohuXfBy+jQGRqHN63H4ULy1xWpRB2WHrOn4+J06d+PVkWziVN/h1wDnZ/NMMan5VIn96Mnxg1A+zX6dmI/MT1iwjvWBvILMHJ8tpjWAWcw9L5C9GzJ2XghkBNXIk5uQryb9nn5ArPv2Wfk1P+bTKoiSstJ1dR/i3LnFxl+bcsc3LKv00KNXGl5OQqzb9llZOrNP+WVU5O+bfJoSauhJxc5fm3LHJyleffssjJKf8WBWrics/JNZR/S5aTayT/liwnp/xbVKiJyzkn12D+bdacXKP5t1lzcsq/RYeauBxzco3n32bJyTWef5slJ6f82yxQE5dbTk75t/g5OeXf4ufklH+bDWricsrJKf8WPyen/FvcnJzyb7NDTVwuOTnl3+Lm5JR/i5+TU/4tCdTEpc7JKf8WPyen/Fv8nJzyb8mgJi5lTl42P9KEhVP+LWZOXvc3WJ9/SPm3mDl5xcKwOnKF8m+JoCYuYU5u18ERhQoUxPpVqyn/FiknZ7+JOnr4cMq/RczJ12/ZhO0bNlH+LRHUxAmCIBQM/TwbQRCEgqEmThAEoWBU08RjY2Oxdu1afPki8x+BVTBPnjyBv7+/1GWomn/++QfBwcFSl6FaOI7Dli1b8Pr1a6gF1TTxkSNHYvDQIXBx7cm/UIRpCQ8PR4tWrdDNpQc2bNwodTmq5NKlS2hj1xbNWrTA/fv3pS5HlSxYsAB9+/eHg2N7xMTEQA2ooolv3LgRfgG74XVkN67cvIG58+ZJXZKqYCfFHj17wrZYQbhv8sbQ4cNw4cIFqctSFW/fvkVbezv0mjwW7Qf24ps5zSpNy9GjRzHLYw68D/gjLm1qDB8xAmpA8U2cNZMhw4ZirPd8ZMuZA2OXz+eb+OHDh6UuTTXM8/TExRtX0W3SKOQvURRdJoxAG3s7vHnzRurSVBMFtnd0RNWmjVCnZVM079oB+UoWR3eXHjSrNBGPHj1Cx06dMHaxB/IUzI+xizwQuG8v1q9fD6Wj6CbOmggbvfSd6obCvxbnr8uRNzdGLJoN565d8fDhQ6lLVDxHjhzBnLkeGLBoJtJZWvLXsWZTpcXv/JSUNSDCOEaPGY1PcdFwHjmI/zdbz95nqhuu37mN2XPmSF2eKqLANnZt4djfFRVr1eCvy5A5EyatXIJhI0Yo3kFYKHr04uSIWi2boE6LJoluK1ujChz6uaB12zY0JTUCdhLs3MUZfeZORva8uRPdZj+oN74gTjVTUqnYvHkzdvj5YdjCWUid+n9f85oufXqM8vLE/IULcPDgQUlrVDIcx6FnL1fkLloY7Vy7JbqtcIliGDJrEuzbtVO06LRQssiMRDycR/z509tb9eiMPCWKkug0YvTSum1bNOvVBSWrV/7hdovUqdHbYxL8A3eT6DRCZA4aMhijvTyRMUvmH27PnicXhi+agy7dupHoNEJkXrp2FUNnT/npJ3brNm+CBvYtFS06LZQsMod/N3pJCHvB+k93J9FppMhs3NUpyfvZZM6EgYtnkeg0UmQWLlkiyfuVrlaJRKeRInOSz2JYWlkleb9uwwcpWnRaKFZkLvfkc63kSG9pSaLTSJGp7/tGmOh0Hk+i0xiRqQ9edP5GotNQkZkrf/LfWskGgkoWnYpq4qGhoV9F5hQ3FP4t6dFLQkh0Gi8y9VGtWSNUbk6i01CRqQ9edE77KjrneHiIXp8aRaY+lCw6LZQ2euFFZsvEIlMfJDqNF5n6aDeYRKcxIlMfOtHpuWA+Dh06JGqNahWZ+lCq6LRQksgM52KTFJn60InOHj1daEpqgMjUh050MlexfsMGUWpUu8jUx1fR+XVWSaLz58yfPz9ZkakPnehs195BMaLTQi0iUx860Xn11k0SnQaKTH0w0fnnEhKdSUWBbIqvT2Tqo3S1ynAY6EqiMwmROXuuh16RqQ8mOuPTpVHMrNJCSSLTkNFLQkh0JiMyr18RJDL18fUTnSNJdH4XBTo6OaFas98FiUx9tOjakUSnESJTHzrRGbB3jyJEp4XaRKYQ0Tl80SwSnd+LzMWzBItMfZDo/InIjI0SLDL1QaLz5yKzfb+egkWmENE5WSGi00KNIlMf5WpUJdFppMgUIjo/c7GKmZKKLjIXzTY4CkxKdI5cNk/zopNLIDIdenU36XOzr/JQgui0UKvI1IfWRaexIlOI6GQnBy2LTmNFprBZpbZF53wjRaYaRKeFWkWmPrQsOk0lMvWhZdFpKpGpDy2LTlOJTKWLTtk18YsXL5pMZOpDq6LTlCJTH1oUnaYWmfrQoug0pchUuui0kOPoxZQiUx9aE51iiEx9aE10mlpkChWd1+7c0oToFENkKll0WshNZNZsYXqRqQ+tiE4xRaY+tCI6xRKZgj7RuUz9n+gUU2QqVXRayE1kdhkpjsjUuugUW2TqQwuiU2yRqQ8tiE6xRaYSRacsmvj27dtFF5kpEZ0LFi6E2ujVp4/oIjMlovPKlStQEx8+fDCLyEyJ6IyKioKaCAoKMovIFCo6WWwmB2TRxJ8+e4asOWxhZWMtaR1sSpojXx6EhIRAbTx99hQ5C+aXZPSSkEy2WZE2XTr++7TVRGRkJD5/+oyc+fNKXQryFC6IN6/fqM4/vHz5EjYZM0oyy0kIG2jmLVQQIU+fQg7IookPGzoU+XLkwpoZnpLW4bt8DSJC32PWzJlQG1s3bcbJHQG4fOJfyWqIjYnF8mET4OrigoYNG0JN5MqVC2tWr8bcgaPw/k2oZHW8eByCJaMmws/XFzY2NlATTk5O+L1BA8wd7ob4+HjJ6jjiF4Dzx//ByhU+kAOyaOIWFhbYunkLrp06g798AySpIfj4SRzctAMBu3bD0kyrNsxJvnz54LfTF2vcZuDloyeS1LDDYwnyZcuB6VOnQY3Y2dmhj2sveP45GjHR5s9LI76Ew6P/cEyZOAl169aFGvFaugyR7z9g65IVkmz/ztXr8JnmgT0BAciaNSvkgCyaOCNLlizYExCI9bMX4s7la2bd9vNHT7B41ET47tjBNzu1Urt2bUyfNhVLB41DxGfzrsI56b8Xt/8LxvatWyXzHuZgyuTJKJAzN9bOMO8HyJiMXzZmEurUqImBAwdCraRPnx67/PxxYMtOnP77uFm3Hfb2Hab1HQLv5ctRpkwZyAXZNHFGqVKlsMrHB3MGjsT7N+bJTMM/f8GsfsMwdcpU1KlTB2qnf7/+aFS3Pta4zzDbKpwHV2/C19MLewMC+ZO1mmGzyi2bN+P2mfP4a8cus213l886fHn9FiuWe0vuPcQmb9688N25E54j3RHywDyf7YiNicGMAcPR1bkLHB0dISdk1cQZ7dq1g2uPHpg3aDS/48SENbEloyehfu06GNC/P7QAe4N7e3kh9t0n7PURf6nfx7fvsHyoO58fspO0FsicOTM/q9w0dwnuXL4q+vYuBJ3CgfVbVRsF/oxatWphxvQZmNJ7EMI/fxZ9e6tmesI2YybMmD4dckN2TZwxbeo05LHNLrroZCIzPPQdli/zUv3o5fspacCuXQjatktU0akTmS7du8PBwQFa4rfffsOaVatEF506kem7Yyfy588PLdGvb180rFdfdNHJROa5o0HYvnWbLKNAWTZxc4hOtYtMOYhOtYtMqUWnFkSm1KLzjgxFpiKauNiiUysiU0rReXLXPtz+V/0iUyrRyYvMsZNVLzKlFJ1hMhWZimniYolOrYlMKUTnN5EZqH6RKZXo5EXmq1BNiEwpRGesjEWmopq4qUWnFkVmikTnivWmE5neKzQjMlMiOm9fMv7rBrQoMlMiOr98Ml50rpwxT7YiU3FN3JSiU6siU7Do3L7bKNGpZZEpVHTO+3O0UaJTyyJTuOgcZ5ToZCIz+NhJ2YpMRTZxU4hOrYtMc4hOrYtMsUUniUxhojMq7KPBolMJIlORTdxY0UkiU3zRSSJTXNFJIlN80RmmEJGp2CZuqOgkkSm+6CSRKb7oJJEpruiMVZDIVHQTT6noJJFpuOiMe/9ZkOjUicxVGvpEpqlE5+Z5wkQniUzxRefKGfOQPVNmRYhMxTfxlIhO/qtl376Ht9dyGr2IIDp1IrNnjx78yZVImehcvVK/6CSRaZzobFS/gV7RqROZ27YoMwpUZBMXIjp1InO3/y6+KREpn5LqE5075n4VmdOmTDV7fVoQnSQyjWfZkqXJik4likxVNHF9opNEpvii85/d+3H7FIlMsUQniwK9xk1B7eo1SGSKJDrDFCoyVdPEkxKdJDLFF51MZO6ct4xEpoiik4nMzy/fwMd7BUWBIojOWAWLzB/gVICbuxtXvnpVbtft81zd5k24Hj1duPj4eKnLUg2RkZFclWrVOMeh/bilp/ZzufLl5fz8/KQuS1XcvHmTy5bdlvPw38hNWufF5cydiwsJCZG6LFWx3NubK1KiGBd4I5hr79qda9KsKRcbG8spnVTsf6BwmLRo2boVbt2/h+yZs+CfoJOUg5uY58+fo1KVykiXwRpdnDpi5vQZUpekOnbv3o2+A/rzP3C828+fcnAR6NWnN46dDEJ8dCwuBAcrNgdPiCqaOCMsLAzjJ0zAuLFjKQcXidOnT2PP3r2YOmUK5eAiscLHBxkzZkDnTp2lLkWVREVFwc3dDS49XBSdg6uyiRMEQWgRRYtNgiAIrUNNnCAIQsFQE5eIyMhIDB8xHAsWLDDbr85rjYcPH6JTp04ICgqSuhTVsnfvXnTp2hUvX76UuhTNQk1cAp4+fYo69eri0u2bWLV+HTp06oQvX0z782ha58iRI6hRsyYy2GZFe0dHLFmyhE6WJl4RNmXqVLj26Y2PqeNQqUoVnDlzRuqytInUaxy1RlBQEJcrd26un9so7p/n97ijD65zLZzacWXKluUePHggdXmKh30+YO7cuVyu3Lm4HfsCuWefw7hTVy5ypcqU5rr36M5FRERIXaLi+fjxI9e6bRuuTOWK3KazR7kDj69xE1cu5te5r1y1SuryNAeNxM0E/33Qy5bB3sEBoz1nouugfvwn8dJbWcJtoQf+cLJDterVcfjwYalLVSzh4eHo3LkzNm7ejMCjR1C7fj3++sK/FEHA34fx/tNH1KlbByEhIVKXqlju3LmDKtWqIj6DJWZsXQ3bXDn562s2aYTZ29di+uyZ6Nu/H6Kjo6UuVTNQEzdT/u3S0wULly2FV8A21GhUP9HtrJk79uqByd6L0KVbV3h4eNDU34D8u2atmogBB/8jB5C/YMFEt1vb2MBr3Ro0a9uGP1lSTp5y9uzZg1q1a6Np9474c+ZEpEufLtHtBYr9As9dm3Ht/h00aNSQcnIzQU3cTPn307dvsHzPDuQvUjjJ+1asVR3ee/2wfstmyskNyL8dOnfCopXesLKy+un92MlywLAhmO+9jHJyA/LvXn37wN1nIVp0Tvq7RmwyZYS7zyIUrVqBcnIzQR/2EZGTJ0/C0ckJ9j27osuffQV/kVFURCTmjZ2AJzfvIjAgAEWKFBG9ViXCDl1PT0/M85yHJatXfotPhPDowUP07twFVatUgfdyb/qxhST49OkTnLt2wcOnIRi73PNbfCKE/w4fxdJxUzBn9hz0cnUVtU4tQyNxM+bfQqGc3PD8WyiUkxuefwuFcnLzQE3czPm3UCgnNzz/Fgrl5Ibn30KhnFx8qIlLlH8LhXLyn+ff7Z07J5t/C4VycsPzb6FQTi4ulIlLnH8LheXknuMm4vGNO5rMyRPm30vXrEKteqb/mlat5+TG5N9CoZzc9NBIXOL8OyU5+bgFc9C4gz2q16ihqZw8Yf6959hfojRwrefkxubfQqGc3PRQE5dB/i0UdnJo79odk5Yv1ExOrsu/Y1OBz7/zFSgg6va0mJObKv8WCuXkpoWauIzy75Tk5Cv2+WHD1i2qzskT5t8LfZYbnX8LRSs5uRj5t1AoJzcdlInLMP/Wek5ujvxb6zm5OfJvoVBObhw0Epdh/q3lnNxc+beWc3Jz5d9CoZzcOKiJyzT/1mJObu78W4s5ubnzb6FQTm441MRlnn9rJSeXKv/WSk4uZf4tFMrJDYMycQH8OWgQDv51BKsP7UbadPIYuSTFm5ev0LV+MyxauBAuLi5QCr8ULYomrVpg4szpkDuBfrvQv7sLXr16hZw5pY0ihHLz5k2UKlUKs7asRoXa1SF7JzLcDWEhLxB89pzU5cgeGokLYPq0aSj+S1EM69Ad796EQq7cv3kbg+w7wdW1J7p27Qol4e/nh0N79mH6+ImIi4uDXNm5ZSvGjxgFX19fxTRwRsmSJbFy1Sp4DBrFi0S5Eh0VjSXjpuDpzbvYunmL1OUoAhqJp2A6OnHSJKxZuxbTVi1FyQrlICf+DtyHhW5TsHjRIjg7O0OJvH37Fk4dnBDHBPK6NciaLSvkQkxMDKaOc8eJv44iYPdulC5dGkrk7NmzsGvXDo3at0Hnof1hYSGfcVzoy1eY1X84ihcqgo3rNyBjxoxSl6QI5PMKyhx2sLMR+dLFizG6Sy/s2+4LOcBGrd4zPLBqpif+OnJEsQ2cYWtri0MHD6FKxUpoVb8Rbly7BjkQ+voNOrexx4vHIQg+d06xDZxRrVo1XAgOxoPgy5jRZwi+fPwEOXD93AUMb9sZndo5YpefPzXwFEBNPIW0a9cOJ4OCsH3pSixwn4LYmBjJavn4PgxjuvbGk+u3cT44GBUrVoTSSZMmDebNm4cZ06ejYys7BPj6S1rP5QsX0bJ+IzSoW49f2ZElSxYondy5c+P40WMoW+xXjLB3Rsi9B5LVwoKA/Zu2Y1a/4Vi7ajXGu7tLumxXiVCcYiBhYWHo5OyMV+9CMdVnCbLlyG72/Nu9Z3842NtjrsdcvvmpjUuXLsG+XTs0b9sa46ZMQurUqc2ef09zm4AV3t5wcHCAGlm1ejVGjxmNQbMn8+u1zZ1/e0+aiQeXrmFPQCCKFy9u1u2rBWriCszJ1ZB/yzknV0v+LeecnPJv00FxioJycjXl34bk5C3rNcT1q1dF3Z6a8m+55uSUf5sWauIKyclZ/s1OFGrKv1Oak8+cMQOdWtsjYKefKNtRY/4tp5yc8m9xoDhFATn5vRu3MN51gKrz75Tk5Hb29mhh1wZjJ0802b7QQv4tZU5O+bd4UBOXeU6upfw7pTl5bDzLyVcjm202g59La/m3FDk55d/iQnGKTHNyln8vnz5HU/l3SnPyqpW+ric3NCfXYv5t7pyc8m/xoSYuw5xcl3+H3LijufzbXDm5lvNvc+TklH+bD4pTZJaTU/4tfk5O+be4OTnl3+aFmriMcnLKv8XNySn/Fj8np/zb/FCcIoOcnPJv8XNyyr/Fz8kp/5YINhInzMf169e5osWKce17duNOPLnFHbhxnqvRoB5Xv2ED7s2bN1KXpwo2b97M2WbPznmtXc09+xzG7Q86xuUvUIBzc3PjYmNjpS5P8URFRXF9+/fjChX7hfP5O5Db/+gqN2jGBH6f7927V+ryNAfFKRLm5C9DX+Pt6zeUf4uYk5erWAH/nvyH8m8Rc/JSVSoi9Mkzyr8lgpq4hDn5goULkT9fPnTo0EHqclSbk8+aNYv/hSOKT8TLyf13+cPdzZ3iE4mgJk4QBKFgSGwSBEEoGGriBEEQCoaaOEEQhIKhJk4QBKFgqIkTBEEoGGriBEEQCoaaOEEQhIKhJk4QBKFgqIkTBEEoGGriBEEQCoaaOEEQhIKhJk4QBKFgqIkTBEEoGGriBEEQCoaaOEEQhIKhJk4QBKFgqIkTBEEoGGriBEEQCoaaOEEQhIKhJk4QBKFgqIkTBEEoGGriBEEQCoaaOEEQhIKhJk4QBKFgqIkTBEEoGGriBEEQCoaaOEEQhIKhJk4QBKFgqIkTBEEoGGriBEEQCoaaOEEQhIKhJk4QBAHl8n+ggBTwbS78VQAAAABJRU5ErkJggg==", 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", 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", 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", 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", 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", 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", "text/plain": [ "
" ] @@ -1261,14 +1170,14 @@ "\n", "for he in he_list:\n", " for step in trotter_steps:\n", - " szz[(he,step)] = bitstring_to_expectation_value(np.array(zz[(he,step)]))*bitstring_to_expectation_value(np.array(z0[he]))\n", + " szz[(he,step)] = lgt.bitstring_to_expectation_value(np.array(zz[(he,step)]))*lgt.bitstring_to_expectation_value(np.array(z0[he]))\n", " lgt.plot_qubit_polarization_values(\n", " grid = LGTGrid(origin_qubit = cirq.GridQubit(0,0),orientation_vector = (1,1), rows = grid.cols, cols = grid.rows, flip_rowcol = False),\n", " qubit_polarization_data=[szz[(he,step)][i] for i in map],\n", " ancilla_states_data=np.zeros(18),\n", " plot_physical_qubits=True,\n", " plot_ancillas = False,\n", - " qubit_colormap=cmap_green\n", + " qubit_colormap=settings.cmap_green\n", " )\n", "\n", " title_text = r'$S_{ZZ}$ for gauge qubits. '+ f'$h_E =$ {he}, time = {np.around(dt * step,3)}'\n", @@ -1284,7 +1193,7 @@ "norm = matplotlib.colors.Normalize(vmin=-1, vmax=1)\n", "\n", "matplotlib.colorbar.ColorbarBase(\n", - " ax, cmap=cmap_green, norm=norm, orientation='horizontal'\n", + " ax, cmap=settings.cmap_green, norm=norm, orientation='horizontal'\n", ")\n", "\n", "ax.set_xticks([-1,0,1],labels=['+1','0','-1'])\n", @@ -1328,7 +1237,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": null, "id": "a2732a58", "metadata": {}, "outputs": [], @@ -1363,12 +1272,12 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": null, "id": "9e3fc15a", "metadata": {}, "outputs": [], "source": [ - "results_string_dynamics = simulator.run_batch(time_evolution_circuits,repetitions=reps)\n", + "results_string_dynamics = simulator.run_batch(time_evolution_circuits,repetitions=settings.reps)\n", "\n", "zz_fine = {}\n", "zz_fine_sdom = {}\n", @@ -1390,13 +1299,13 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": null, "id": "7cb5f32f", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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ZWfT6669rw+ejoqKoa9eu9Nprr8n6n3/+OZ0+fZrGjBlzx/t3LTnF6PykpCtk4XEvAACgSixWuFiA3NzcJNR906ZN8p3rOCiCXYCaiL7777+f5s6dK321OJIvPDxchErD1q1bxQXo5+dH8+bNo23bttXLGDSlpWVG5xcVFcq+saACAACwoXB4c1HbcHgXV3cqLiowON/B0Ym8PD3ETTljxgxavHixuC8BAADUDHIVNgDOLi7k7h9qsLi5e0i4/LRp02jlypXUpk0b+uc//0klJSWNvesAAKBqYHHV0eLq2msQhTz4osH5qbvfolPffyvfz5w5Qy+88IJ0SG7fvj2988474kYEAACgH1hcjUBhyR+BJJ06daJ9+/bRzp07xeJ64IEHaPjw4fT777836j4CAIAagXA1EBk5RfTurtOUV1ThGrSzs6MRI0aI9bV8+XI6evSoCBpbYjdv3iRrhNNicWSnocLzAQCgtkC4GggvVyfaF3uFZqw5QqcTM7T1nO3+xRdflPavp556iv7xj39I+9eqVav0hvurGU1aLEPFWK5HAAAwBISrjoSGBEg7lqHSLqIpvfVkL7K3s6O5G36g1V+fpWKdEPrg4GBJb3Ly5EmxvJ599lnJYs9JggEAAJD1pnxqLHbv2GbScqti+tGH+8/RZz9cphMX0uilkdEUFeqrnc8dpL/99lv67LPPxBJj99nDDz8s7sTWrVuTWtF0GgcAgPoGFlcD4+bsSM892JneePweae+a9dF3tOlQPJWWlWuX4fYvzuZx7tw5GZ7l66+/lrRU3LG6aq5FS4aHklm/fj099thj0sn7ypUrRpfn8dPmzJlDX375paqOEwDQuCAcvo7h8HUhp6CEVu49QwfOJFNUUx+xvloEVU/4m5KSQq+88oqMQcYuRR4Ak9vDHBwcyJLgNrnvv/+e9u7dS3v27KFffvlF6nk0ag7353oWM0NwNpTy8nIZsZqP7e6775YMKIMHD6bevXvLqNXAfGCMOaCWZzKEy4zCpeHI2RR6f/evVFBcRlMGt6WHe0ZIW1hVeH9mz55Nx44dk/av9957j/r370+NybVr10SQuLBleOvWLRGdPn36iFhxqD+PecZWJEcOGhuzjINSOHcki9+BAwek/PjjjyKIzs7O1KtXLxExLvfcc4/UWROWJhSmXC8enBUAcwDhsjDhYjJzC+m9//1Kx8/foC7h/jRnRDQ18a1uYfDl+c9//iNuQ3a9jR07Vtq/eNRnc1BcXEzfffedWFQsViw0TFhYmFao+AFcddyzuj4IeQw17iqgETIOXuFzwNZX3759tUJ21113WZwFqnahsLT9sTRhtzSGWPn5gXBZoHAxfOr3xV6lf39VkYh32tD2NKxrc7FWqpKfn09vvfUW/e1vf5PAB24bmj9/viQcrm/4x6Bx/3GUI+dbdHJyEuHQiBVHQurbz/r+YXEft0OHDmmFTDN6NQvlgAEDtELGbYL29upqsq2LUHAH9ry8PLkf9JU7mcduXXbdGoK7cvA59/X1lfOvWwzVeXt71/kFw9KE1NKIsvLzA+GyUOHScD0rn97+IpZOJ2ZSzzbBNPvPncnf01XvslevXpUs95s3b6amTZvS0qVLaeLEiXf00OY2piNHjmjFSpPRnoWFRYrF6r777tM7AKe5SU1NlShMLixkFy5ckHoOBhk4cKBWyPhHW1VYG/MNlX9mPOxOenq6tjzzzDNyPIZg12izZs0qCUxd+vqx4LDFqikeHh6VpjVl+/bt4vo1BC/DLyy8DBc+HlMiR/nlyhSRq1rH0bWXL182uF1btwCjIFygMYWLKVcU2vFjAn184DdydXKg5x/sTP06NDW4/A8//ECzZs2SNiEOauDLaOyhU/VHxQ8EFikuLAD8UOQHJbehacSK8yrWZFU1Nvwg0YgYW4fcBqdxZWpEjAM+eLib+vyhFxQUiPjw8OK6YqQ7XXUeW8q1gQWGH976RMaQ+FSdxwEwplo8dTk/7ErWCJmuoJlSp6nnbdQFFrfnnntORl3g4u/vX+mTxbA+3cnmEAp+McnIyKjxXkpLS6Nff/3V6IsMn4N///vf1LZtW+law/eCmoBwqUC4NCSl5dDynbEUn3KLBnUKpZn3dyIvNye9y7JbZ8uWLfTyyy9TcnKy0e3yjbtixQqtWGl+YBERESJUXNhiaQjXo7ngW5ktMI1bkQWNf+BMZGSk/OCNhd2zuG3YsMEkMWKh1wcLPT8wAgMDpbAlqO87l3HjxlFCQgLZehsXW236RG7mzJl048YNg+uxl4GvuaFHGF8LFi9Dwmaojj0L+l7Yant+eL/4fqvNy42x9G/sdtW9jw4fPlxpdHdj8PHwyyuLWNXCL3mW6GaHcKlIuBju47X16AXacvQC+Xo4018eiqYerQwPfsntE3xTZmZmGr1x+VK7urqKQGnaqvS51KwFPl5uE9MI2a5du4y24eiDhdyY+FSd5gFLG9LCaUjUuD+//fabCB3f+2ypaD51v+urM/YC4+joKEJWVeB27Ngh/8vYvcLeD11BMmQRsXfD2L1UdR6XqlG1UTWcn1atWtF///tfSeatW/gachCUBrbM+VxWFTTePotlY7lSjT2TkTnDAnF0sKcnBkRRz6gQ+vuOU/TXLT/S8O4t6Jkh7aVDc1XYNcQ/LmPCxTfgJ598Io3rttI/igWZ22S4PP/88zX+0Ln/2caNG7UPDT6nLPS2Aj9Y7mR+Y8CWgkZkapNphoNc2LqpSeD4kzvKc3SrMVe8pq2Y3Z4sGD179jT6osMi19AvjPb29tKNhkvVFzruK1pV0FgkeIR43Zc7/k3os9I4qpkFXl9uUnMA4bJg2jT1oX8905fWffu7pIw6eSldOi13bO5f621xR2a2sIBh2EVkzoz1liYUag6dri0cJcu/CS6mUtOLDz/MuSuHpWNnZ0ehoaFSuP23qvhevHixmqixoOm+GPP5Y4HWFTNu9zUXEC4Lx9nRgWL+1IHujQqht76IpRfXf09je7WiiQPayDygXmxJKKxB2G3h/Li4uFCHDh2kVIUt0KqCxmX37t1mH9kdwqUSuoQH0L9j+kuW+U+/u0g/Xbgh1lerJtU7/gJgDUDYLev8BAQESCo2LrpwOx67UzkiuaYgsfoCwqUi3F0c6YU/d6HebUMk68bza49JW9i43pGNvWuqAG/w4E7A/aMfbutityG3tZsLixUu9qdOnTpVhrznxkzuaPv4449XW47bbbjzrAZuHGV/K/dx0PiduZOnJtKL3xZ4m2qmZ5sQWj3Nj/6554y0fx2PT6WQpmFG17HVH5UueIMHdwLuH8vBYoWL+3Bw+CeLzqlTp2j48OGSvJVT++jCfZJ00WRP0IXDoK1tmHhvd2f665i7qE/bZBGwS1lE7h7B5OHKl7R6tJKz5x9jgAEAgJqxSOHifkmcfubMmTMSNso58kaMGCGhysuWLTO4HnfmZOuLhwOxFQZ2CqXO4f7Udf0iihy7wOByybvfMut+AQBsixZmdKVapHBxBzn2m3L4qQa2tjjZqjE460G/fv2qZU6fMGGC9E3g/gycWZ23ZU0EeLlSgJdLY+8GAMCG2W9GV6rl5fm4PbRF1R7bnJespvQmLFyTJ0+uVMfJaNkS46gX7rMwbNgwvb3fuac799TWlDVr1pC6sM7sFwAA22HNmjXaZ7AmXZtqLC52D1ZNycLTxrKTc8c/HpaBx6vShQc41MDDgPDQ8uxOfOihhyotxz3aLSXlU0Ml8QUAAEsmJiZGCsPipSqLi12E3DdAt5d6bGxstcAMXViQRo8eXWOSWE3OPluDh075z7ELVFxauwzlAABgaVikcHF/ABahhQsXSqAGD12/c+dOGXdKH5xq5NNPP63mJuTcWbwuh8hzBmpu3+LEl7pWmK3g4uhAHx34nZ5ZdYiOnEuxSfEGAFgHFilczMqVK0WQOJfY+PHjadWqVWJxsZuvqlXFWZt5+IKqebe4TWzGjBmSsZtT92sGSuQe4LYGB3AsndCTXJ0c6fVtJ+mlDT/QhRTjSUMBAMASwbAmFjisSV148OGxlJyaYXB+aEgA7d6xjcrKy2nvL1do/cF4ys4vpqFdm9HkQW0NjrgMAACNAYY1sQFYlEzBwd6ehncPpwEdQ2nLkfO088cEOnw2hR7r05pG3xuBxL0AAIvHYl2FoGHxdHWSrPNrpg+gri0D6eNvf6enuf3rLNq/AACWDYTLxgkL8KDFj/agZU/0JHdnR3p9e0X713m0fwEALBQIFxC6RQTSv57pR88/2ImS0nPpuQ+P0ju7Yikjp7Cxdw0AACqBNi6gxcHeTtq/BnL719ELtOP4ZbR/AQAsDlhcoBoerk70zJD2tGbGALHENO1fLGJo/wIANDYQLmCQMH8PWjSuB/3tdvvXG9tP0oto/wIANDIQLlAjXW+3f80a3pmu3G7/evsLtH8BABoHtHEBk9u/HryrBQ3o0JQ+OXqBPte0f/VtTWPQ/gUAMCOwuECt27+evt3+1T0ykNZx+9dKtH8BAMwHhAvUuf1rIbd/TewpYsbtX3PWf4/2LwBAgwNXIbgjOOvGiqf70lenroj1xe1fQ6Kb0VOD2tLEiU+YlD8RAHBn+UnTswvkM9DbzSZ+XxAuUO/tXzt+TJDUUb8npFDrMa8YXC9591tm3U8ArInk1AwKefBF+R5iY78vuApB/bd/Te9P3VsFUXZBSWPvEgDACoFwgXonlNu/HulOgd4YKgWA+iavsITik7OooLjU6HLlVhwsBVchaNBRlwEAtaewuJSuZeZTcmYeXc3Mo2uZeRXfM/LoVn6xLJOZW0QtjWwj5WY+TfjHNxQZ7EUtg70pIthLSrNAT3JyULfNAuECjQYPagmAtQ3WairFpWUiLixKUjI0ApVP6VU69wd4uUgkb6+2IdTM30O+x+z6IxBDH95uTtSlhT9dvpFDJy+lU2l5hQXmaG9HzQM9RcRY0CJD+NOLAr1cyc7OjtQAhAs0GqlZBfT+7l9pQr82FOAFtyJQTzAEmRgMwS9n17MKtNaS1nLKzKO0WwV0W0sEH3dnCvV3l/yg/Mni1CzAQ1zvbs7VH9WONVhNXm7O9PKobvK9pKycrqbniogl3Mihyzey6dekTDpwJrnSGH1ilYWwZVZhobGg6fvf5hB2Y0C4QKPh7uJIe3+5Qvtjr9KIu1vSuD6tyNvNubF3C4A6UVRSRrtOJGotqOSMPErJyqcyHXXie54tpvZhfjSkczOtMLFIebk5Ndi+OTnYU0SItxRdcgpKKCEthy6nZouosaB9HXuVCorLtMs09XOnlkGVBY33maOJ71TY6wqECzQY/IZl7GbtEBlKa58dSBsPxdO27y/RlyeT6JFekTSqZ4TJb3kAWArs3lux5wy5ONrLg50f9H3aN9FaTvzJVlV9ueNCa/h98fyaYLHs3MJfim5Qx42sAq2QyWdqNh0/n6q1EJ0d7Sk8qMIi07ShmTMYxGKfDpmZmTR16lTat28fBQYG0tKlS+nxxx+vttzixYvpjTfeIBcXF23d6dOnKTIyUr6fOnVKtnPu3Dlq3749rV27lrp27WrWY7FVTHULzH24qwjW+oPxUnb+lEDj+7aWvmHIgQgshZoezBxFu2nWYHF725uhrWh3A3Uu5n1v4ucuhdvUdC1KHmSWXY2XbmTL54kLaWKhMdxe15RsXLhmzpxJzs7OlJqaKuIzfPhwio6Opo4dO1Zb9tFHH6VNmzZVqy8uLqaRI0fS7Nmz6dlnn6XVq1fL9Pnz52XbwHJgF8biR3vQuas3ZfyvVV+dpc9+uExPDGhD93VuVs0tAYC5yMwtpO0/XKbrWcYfzBxFG6STucLacHFyoDZNfaTokpVXJFbZI5+Z75lqkTGReXl5tH37dlqyZAl5enpS3759acSIEbRx48ZabefgwYNUWloqwsUW2fPPPy+JYA8cONBg+w7ujPbN/GT8r6UTeopb5e0vTtP01YfpyDkk8QXm5catAnH9TXr/W/rsh0vk5gTrXx++Hi4SUMLBHTYtXPHx8eTo6EhRUVHaOra24uLi9C6/a9cu8vf3F2ts1apV2npevkuXLpV8yjxtaDvAMuDrdVdkIL0/tQ+9OvYuqXt920l6fu0x+vlSGgQMNCgclv7OrliavOJb2nMyie7rHEYfPjuQ/DwR+WopWKSrMDc3l7y9K0e/+Pj4UE5OTrVlx40bRzExMRQSEkLHjx+nMWPGkK+vL40fP162w+uZsp20tDTq0aOHdpq3yQU0roD1bd+UerVtQt/8epU2HjpPr2z+kbqE+9OUwe3EOgOgvuAAhK3HLtLhs8kSaj68ewt6pFcrCvZxq7dgCGCcNWvWSNE8k1UlXOwezM7OrlTH015eXtWW7dChg/Z77969adasWbRt2zYRrtpsJygoiE6cOFGvxwHqB27fGhrdnAZ2DJU34C1HL9Dsj7+je6NCJAs9RzYBUFd+T86iT45coO/jU8nN2YHG3BtJo++NIP8qFpa1ZlqvL+pD2HUNBl1DQhXCxS5CbpviIIo2bdpIXWxsrN7ADH1v6RpXEi//9ttvy7TGXcgRhxz4AdQHRxiOvCeChnZtLiMw//f7S9L+NbhzGE0cECX9TQAwlV8TM2Q0g58vpZOnq6N0hH/4npbk7Y7ArbpgTmG3SOHy8PCg0aNH08KFC+nDDz+UqMKdO3fSd999V21Zru/fv7+4B3/66Sd6//336c0335R5AwcOJAcHB6mbPn06ffDBB1I/ePBgsx8TqD+4j9fj/drQn3uE06fHLkr4/MG4ZAmf5zB6ZOEAhuCXWBYqFqwzSZkSAMRu5z/3aEEeLuYLLgB3hp1ioS3d3I9rypQp9PXXX1NAQAAtW7ZM+nEdOXKEHnjgAWm/YtglyH29ioqKqFmzZhL2ztGDGn755Rd6+umn6ezZs9p+XN26VaRB0YXNUrgK1UlGTiFtPnJesnBwHja2yh7pHYksHKBSH6wffk8VwYpPuSV5+fgeub9bC3JFtKBFYuyZbLHCZW4gXOqHc8BxFo5vzyRLap2xyMJh83C6JQ622Hr0oqQ2YnfyuN6taEiXMHRut3AgXCYA4bIeLqVmSwaOH+JTydfDmR7v25oeuKsFPTz2UZsd6tzW4KSyB369Rv85dlHyBrYI9KTH+rSigZ1CycHeInsBgVo8k/EqCqyOyBBveu3RHnSWs3Ac+I1WfnVWMh9cSEqliFHzbHKoc1uB0xJ9deqKBO5wB+LWTbxpwdi7qE+7JmZJwwTMA4QLWC0dmvnR3yfeK2MRcRqpm3lFFNHYOwUaBB4N+H8/J0qaMB5gka/9cw90ortbB6lmjClgOhAuYNXwQ6t7qyDJxPH1qj8SMQPrILewhHb+mECf/3hZhujoGhFA80Z1k07qECzrBcIFbAJ+iNUUpMFv7fzwa8hxkYDp6A5MWLVNkqME7Z3dKWL4LMovLqWebYKlKwSyqdgGEC4AbsMupnFv76OoUF+x0LpHBlG7MN8aR5oFDYPuwIT62iRPbnqNHmkdRI/1aU2tmlROEQesGwgXALcJ8nal8X3b0MlLabT16AXacuQCuTs7UnTLAOreKpDuigiSIdXhgrIMQnzc6K9jKpIwA9sCwgXAbbhfz6SBUVLYZRibkC5ZFjgjPeexY0J83cQSY4usa8tAq3IrGnPN1Vd3gdKycrqVX0xZecXyeSu/qOIzr5iyZPp2ySuilJt5ei0tDbCEbRcIF7AZapMElAWJM9Nz4a6OyTfzJTqRrbGDZ5Jp98kk4rEt24pbsULI1O5WrMk1p+/cFZeWaYVHIzosQDy4YNV6FqncwlK9/5vPpZebs6Rg4r53nDgZHceBIXBnAJuhrtYCuwbD/D2kPNQjXKwGzij+88UKIfvk6HlJOVXJrRgZRKF+1uVWZDFatPWnPyyjvGIJjNAH95liEZLi4Sz9qfjTx92lQpxu12uWYdGqOsr1trcRBQr0A+ECoJawVdWxub8UY27FJr5uWmtMn1vRHK45hi1GFpjMnCLpy8ZBKFxuymfh7c+aXXOFJWV0I7tQhKaJr7tYRhrh4VFwdYWKR8NFh1/QUEC4ALhD9LsV08Qi0+dWZIuMv9fFNadLWXm5tBVVCFGhjhhVF6ai0vJq63NCYj9PFykhvu41uuZYrFbF9Kvl2QGg/oFwAVCPVHYrtjTsVnRxpMycQqMWDrcfsfBl5lW3jrhk5xeTvkSjbO34e7pI4X5N/rfFyd/Dhfy9XMmPPz1dRHB1XZk737Ms1xxGHAaGgHABYGa34qkEFrF0+r6suhWkS1p2IS39/Bf57uRgX2EdebiI5aMRJK0oSXEV9521ZD1HwmNgCAgXAGaErZx+7ZtK+fj1P9qz9MFjRq2Z3l+Eycu1snUEgC0D4QKg0TAuRC5ODhQe5GW2vYFrDqgFCBcAQIBrDqgF9faWBAAAYJPA4gKgkYBrDoC6AeECoJGAaw4AK3MVZmZm0qhRo8jDw4PCw8Npy5Ytepdbvnw5derUiby8vCgiIkKmdWnZsiW5ubmRp6enlKFDh5rpCAAAANiUxTVz5kxydnam1NRUOnXqFA0fPpyio6OpY8eOlZbjTAUbNmygLl260MWLF0WYmjdvTo899ph2mV27dtGQIUMa4SgAAADYhMWVl5dH27dvpyVLloiV1LdvXxoxYgRt3Lix2rJz586lu+66ixwdHalt27Y0cuRIOnbsWKPsNwAAABsVrvj4eBGiqKgobR1bW3FxcUbXY+vryJEj1ayyCRMmUFBQkFhjsbGxDbbfAAAAbFS4cnNzydu78lDcPj4+lJOTY3S9xYsXU3l5OT311FPaus2bN1NCQgIlJibSoEGDaNiwYZSVlVVt3bS0NOrRo4e2rFmzph6PCAAAQE3wc1fzDOZnsqrauNg9mJ2dXamOpzkAwxArVqyQti62uFxc/kgW2qdPH+33+fPn0/r162WZhx56qNL6bJGdOHHC5H0cPfYxSku/aXB+UKAffbZtq8nbAwAAWycmJkYKw+KlKuFiF2FpaSmdP3+e2rRpI3Xs4qvqAtTw0Ucf0bJly+jw4cPUrFkzo9vmfG/sUrxTWLSmvPBvg/M/enf6Hf8PAAAAKnEVcgj86NGjaeHChRKowcEWO3fupIkTJ1Zbll2Br7zyCn399dcUGRlZaV5SUpKsW1xcTIWFhRIqn56eXskKAwAAoC4sUriYlStXUkFBAQUHB9P48eNp1apVYnGxm49diRoWLFhAGRkZdPfdd2v7ak2fXmHtcJvYjBkzyM/Pj8LCwmjv3r20Z88eCghARgIAAFArFukqZPz9/WnHjh3V6vv16yfBGxouX75scBssdKdPn6bGIDe/lPYcTSEvD0fycne6/elIXh5O5OJsjyEqAADA2oRL7Tg4VLSlXU0toIKiP4SWcXK0+0PMPJxuC1qFwHm4O5IDj/NeS3SDRfILSuXT3e2Py4tgEQCAtQDhaiDcXBzowX6h8r20tFwssOz8UsrJK6Gc259ZOSUibGXlfwSLsGR5uN0WskrWWsWni7P+0W0RLAIAsBUgXGbA0dGefL2dpVSFrbKCwjKtqInAsbjlldKV69WtNWcn+0oWmuazXEf8AADAmoFw1RF2vRmzYni+KXBbF7v0uDQJcK02v6S0XGuhsZjl5Fd8Zt4qoaTr+VReXrFc7m33IAAAWDsQrjpirvYiJ0d78vd2llKVckWh/MIyEbXVBlyIGthdWVpWTo4OFhtICgAAJgHhUjH2dnbk6eYoxcnJuCDlF5XRJ3uSqHkTd2oZ6kHNgt3EhQkAAPUNR1QzD/RtSg0BhMtGcHd1oMhmnpSYkkeXr+WRo4MdNQthEXOXT7bsAACgruiLbH6zgSKbIVw2ArsI+3QNpF5dAuh6RiElJudRYko+JSTnSfh9WIibWGLNQ9wlAAQAAGqDOSObIVxWGCxiqB8XY29vR6FBblJ6dlHoRkYhJSTniyWWlJIvIhYazCLmLm5FFyfjbWcAAGBuIFxWQl1McG4jaxLoJqVnZ3+6kVkkFhiXK9fziftBi4g19aAWTd0N9iEDAABzAuEC2rD8kABXKfd08qf0m0WUcNuVeDQ1nexiSaw0die2aOJOri4QMQBsHUVRKD2rmJKu51Fevvm65EC4gF4RC/J3ldKjgx9lZBVrLbFjp9LpOzuSPmcsYuFNPcjN1aHRo4wAAOaBu9YkpxXQldT820kSyohTr5oz/SqEC9QoYoF+LlK6d/CjzOzbInYtn74/nUE/nM6gkEBXcSeGN3Wv1K5mzigjAEDDwb/fCqHKp+S0QklTxzlXOSKZA7qahbjR2nfMJycQLlArEQvwcZFyVzs/uplTItGJLGQ//JohJcTfhcJDPcQaQ/5EANTrAszMLhah4sLuQMbT3ZGiWnpJcwE3K9QlIXh9AOECdRYxTUaPbu38KIstsZQKEfvxTKaUPKShAkA1lJUpdD2jQKKL2brKKyiT+iD2trT3kyhjXy8ng0MymRrZXB9AuEC9wAmEu3Jp60e3cljE8ht7lwCwGfbUsQ25sKhM6wK8dqOASssUSU7AgVhd21a4AU1pw2bM6favlXDxkPdr166ldu3aNdweAdXj4+VM0V7OMjwLAMCyXIC3cktEqDhJd1pmESm3M+u0au4pVlXTQFeLz2laqydLWloajR8/nt5++20aPHiwtv6JJ56gTZs2NcT+ASuGh3A5ee4mtWnhKQNqAgBMZ7SJwU885FFqRqFYVixWPLoEE+DjTNFtfUWs+LuaRmWvlXA1a9aMtm7dSqNHj6aEhASaMmWK1F+7dq2h9g9YMfb2RLHxWVKaBLpSVAsviUxE8l8AaiathuCn1ctj6NCJG3T1RgEVl5RLIAX/zjq18hGxUrNHpNZ7HhwcTPv27aOJEyfS+fPnaenSpQ2zZ8DqcXd1pEeGNqeLSbl0PimHDp9MkxBbTgbcpoUXBfqq6y0QAEuioKhM+lvxyyC3VXEWHGtJpl0r4XJ2rhgTyt3dnbZt20Zz586lRx55hAoLC+t9xzIzM2nq1KkikoGBgSKQjz/+uF6f7bx58+jDDz+U6aeffpqWLVumfeCdOnVKtnPu3Dlq3769tNF17dq13vcX1C3KiIdkYXdFlygfcWfEJ+XShSu59HtCjkQwsYCx790NmToAqBUero706P0tJLWbtVEr4dq7d6/2OwvD8uXL6d///jc9//zz9b5jM2fOFKFMTU0V8Rk+fDhFR0dTx44dKy23Zs0a2rFjB8XGxso+/elPf6KIiAiaPn06FRcX08iRI2n27Nn07LPP0urVq2WaLUWNCIOGozZRRnY6eRPv7RxAl6+xFZZLP8Vl0omzmeLaYFdiWLCbJAoGwFZRFIWupxdSQWFFuLohHBzsrFK0GPvaRhX+9ttvlepYIK5cuVKvO5WXl0fbt2+nJUuWkKenJ/Xt25dGjBhBGzdurLbs+vXrac6cOdL+FhYWJt/XrVsn8w4ePEilpaUiXC4uLiKwfNEPHDhQr/sL6hceVqVtS2/6c/9QGjUojDq28qEbmYW0/3gqfbrvCp2Iy5SQewBsCfZanI7Pou3fXKW9312XEc1tFfu6RBVWffCzWNQn8fHx5OjoSFFRUdo6trbi4uKqLct1PE/fcvzZpUuXSu0kPK1vO8By+4fd3dGfHh3aggbfEyypp85cvEWfHbhGXx5JpvjEHCopsd0fMLBuOCIwKSWv4qXt6yv087mbElTR/64gm47EtciowtzcXPL29q5U5+PjQzk5OXqX5Xm6y3EdW1ZV5xnbDotyjx49tNMxMTFSgGXA7kFO6Mslv7CULl6pcCVy0t/jv2ZQRJiHtIcF+7sgoAOonuzcEglY4nucgyy4jbdTax+5x308rVewuOmHi+aZrKqoQnYPZmdnV6rjaS8vrxqX5e9cxw+v2mwnKCiITpw4Ua/HARouGrFzG1/5IafdLJIft6ZNzNvDUX7crZt7VgoEqQqy1QNLg11/icn5FJ+UI21Y/PrVTNp2PSWZbdW23SAzplgyF7oGg64hoYqoQnYRctsUC2ObNm2kjoMvqgZmMFzH8+65555qy/End5Zm60vzFn769GkJ/ADqh69psL+rFB5DjPMksnixO4U7NoeFuImIcWAH92FBtnpgiWTcKhKX96WredLfysvdke5q7ycvX8b6Wn1mw/eqUeFKSUkhPz8/cnV1NWtUoYeHh7gjFy5cKGHuHFW4c+dO+u6776otO2nSJHrnnXfowQcflH1ioXruuedk3sCBA8nBwYHef/99CSL54IMPpF436wewDrh/CosUF05pcyEpR8Lqv/3pBrk428tDIPVGJj09Z7XBbSBbPTAXLFCXruaKYGXcKpYXq/DQishZ7iQMd/cdBGdMmDCBtmzZop1OT0+nl156SULLNW61hogqZFauXEkFBQXimuSAkFWrVokFdeTIEXEBapg2bRo99NBD1LlzZ+rUqZOEzXOdxkLkUPkNGzaQr68vffTRRzKNUHjrhtsAunfwl87Nf7o3RHKvnbuUTbnIVg8aO4w9o1A62m/9KknGs1MUop6dA+jRYc1pQPdgahrkBtEyATuFz6YB/P396cKFC/LJcEg6u9pYJA4dOiTRhcb8kGqCjwNtXNYLZ8EeMPh+mj63ouHXkMV15OBXZt0vYP1ogoniE3MpO69Emx0mKtxLdTkCLeWZbNRVyJqmEa2MjAzavXs3/fTTT9StWzfpK7Vo0SL68ssvG2avAahHXF0cpH9YTUOSc0GuRFATNQX3cBg7DxPCrkBObsvmQUiAC3WJCpRBVq0l9VJjYVS4WrVqJe1LnCKJrSsOh2fRYjj90vz58821nwA0OPlFZfTJ3iQZ3bVlmIdk6bD04R2A+TAluGf9+o0SFXghKZfyC8vI1cVeOtDzCAi+XmiiMItwvfDCCzRu3DhpM+L2IQ6YqJrhAgBrwcPVQVw4iSl5dOlanrh0KkTMk8KC3CSFDrBdasrGvuLNp2nb/qsSxs4Rrfd2rohoRYoyMwsXB2eUlJSIaLG1xclsNbDvsWlT9IEB1oODgz316RpIvboEUEp6ISUk50q/motXb4tYUw/p6Myjw3IUGAC6lCtE3dr5UusWXpI8GjQcNZ7dyZMnS6kKR/eNHTu2ofYLgHrH1A6b/IbMbkIuvbooMjQE9xFLTMmXRnZuK+OhIljEmgYi6S+owNPdkbq2VV+nXzVS59eCl19+uX73BIAGpi4dNlmUOGsBl17RCiXfKKDLyXnazs4uLGKh7hQR6in9byBi1kNZmUJpNwspOa2QUtILJCIQWAawZwEwEXYPcpsFl9KyAK2IccYDDnXmjs4cMcZFRAxhzqqiXFEo81YxpaQViFilZhaKePFVDPB1lpcUYBlAuACoAxxtyG1eXDjH3LXUChG7eHsQTI4ma3m7TSw4oGYRQ+5E88PdfTjLSkpaISWnF0h+QM5owfAgppzFommQq7yEuDg50N+dMZippQDhAqAeRCw81EMK9wO7ypbYtTw6fyWXfkvIkczebIWJiOlkr0fuRPPD2VPYokq57f7jkHXGw81B2i25zZLFihM5A8sFVweAeoQ7L2vchSUsYqn5ImLcEfXc5Wxyd/1DxGoKr0buxDunsLhMLCkOsGHBys6reEFgty6LVGiQq6RZ4sS2NWWwsMZs7GoFwgVAA8HZESLCPKXwYJdXbosYuxLPcu7EfORONIY+i9S9BouUXxZSM9iaqhArbrNiHB3sxOXXLsJbclf6edc+1RKsX8sBwgWAGXByspfOzVy4HeXK9XxaUUNbv5E0ojaBKRZpWTlH/hXddv8V0I2bRZJeyd6eKNjPVfpVsUUV5OuCiE8rAsIFgJnhfmCteKDLGtpRcvJLacvuRPL2dCJvDyfy9nTUfvfxcBIxtPXktXx+SssqBD7Q15k6tfIRoQrxd0HOSSsGwgWAheLq7CA5E3kY9+sZBXTxakUggQYO+qgQMkcZyqVC3JzIy8OxTjkW6+Kaawg4SrOwqJzKbwuSIcrLiVq38KTQQLeKyD9E/dkMEC4ALNgy6x0dqJ3miMXs/FIRMil5JRLOzW1n55Mqwrg1cMohsdBui5nGUuMgBEMus4YKFuF2Jw6SYDGq+Lxdistvf1ae1lhQuYWlNWaq6NXlj/MDbAcIFwAqgV1f/t7OUqrC7WYsZrfy/hA1/pTh4Ev/EDWOR2Dx+sP9WOF2ZJEzBW53Y2HRKz7F5VRwu75IR6g0QqSvQzdH9/GQM2w9stXI39nS5M81LrCggH4gXAA0EvUZXs3WWaCfi5SqQlNUXC6WmUbMKiy1Uom848wQGnJqSGnEUZAb/5coARGGhIg7XmuEx8fTuWJaR4xcne1FpHja0dHOaGQf2qiAISBcADQS5mgvYmEQwXBxoJAA12qixh1wNZbayhqCPXhYl/aR3iI+ukKk2T6HnGM0X2AOIFwA2CgsMh5ujlI4Eo/FyBhsKd3dsWJEdHOADr/AEBAuAIBFgg6/wBAW6UTOzMykUaNGkYeHB4WHh9OWLVsMLrt8+XLq1KkTeXl5UUREhEzr0rJlS3JzcyNPT08pQ4cONcMRAAAAsCmLa+bMmeTs7Eypqal06tQpGj58OEVHR1PHjh2rLct++g0bNlCXLl3o4sWLIkzNmzenxx57TLvMrl27aMiQIWY+CgDUha5rztB8ACwBixOuvLw82r59O505c0YspL59+9KIESNo48aNtGzZsmrLz507V/u9bdu2NHLkSDp27Fgl4QIA1Axcc0AtWJyrMD4+nhwdHSkqKkpbx9ZWXFxcjeuy9XXkyJFqltmECRMoKChIrLHY2NgG2W8AAAA2Kly5ubnk7e1dqc7Hx4dycnJqXHfx4sVUXl5OTz31lLZu8+bNlJCQQImJiTRo0CAaNmwYZWVlVVs3LS2NevTooS1r1qyppyMCAABgCvzc1TyD+ZlsMcI1cOBACcPVV9gtyO7B7OzsSuvwNAdfGGPFihXS1vXll1+Si8sfnTD79OkjwRnu7u40f/588vX1FausKmyRnThxQltiYmLq8agBAADUBD93Nc9gfiZbTBvXwYMHa2zjKi0tpfPnz1ObNm2kjt17+gIzNHz00UfS/nX48GFq1qyZ0e2zQNr6cBEAAKBmLM5VyCHwo0ePpoULF4qIcaDFzp07aeLEiXqXZ1fgK6+8Ql9//TVFRkZWmpeUlCTrFxcXU2FhoYTKp6enixUGAABAnViccDErV66kgoICCg4OpvHjx9OqVau0Fhe7+didqGHBggWUkZFBd999t7av1vTpFSG93C42Y8YM8vPzo7CwMNq7dy/t2bOHAgICGu3YAAAA3Bl2CvxmAjcGsl8VAACAZT+TLdLiAgAAAAwB4QIAAKAqIFwAAABUBYQLAACAqoBwAQAAUBUQLgAAAKoCwgUAAEBVQLgAAACoCggXAAAAVQHhAgAAoCogXAAAAFQFhAsAAICqgHABAABQFRAuAAAAqgLCBQAAQFVAuAAAAKgKCBcAAABVAeECAACgKiBcAAAAVAWECwAAgKqAcAEAAFAVFilcmZmZNGrUKPLw8KDw8HDasmWLwWUXL15MTk5O5OnpqS2XLl3Szj916hR1796d3N3d5ZOnAQAAqBeLFK6ZM2eSs7Mzpaam0ubNm2nGjBkUFxdncPlHH32UcnNztSUyMlLqi4uLaeTIkfTEE0/QzZs36cknn5RprgcAAKBOLE648vLyaPv27bRkyRKxnvr27UsjRoygjRs31npbBw8epNLSUpo9eza5uLjQ888/T4qi0IEDBxpk3wEAANigcMXHx5OjoyNFRUVp66Kjo41aXLt27SJ/f3/q2LEjrVq1SlvP63Tp0oXs7Oy0dTxtbFsAAAAsG0eyMNjV5+3tXanOx8eHcnJy9C4/btw4iomJoZCQEDp+/DiNGTOGfH19afz48bItXteUbaWlpVGPHj2007xNLgAAAMzDmjVrpGieyRZjcQ0cOFAsIH2F3YLsHszOzq60Dk97eXnp3V6HDh0oNDSUHBwcqHfv3jRr1izatm2bzKvNtoKCgujEiRPaAtECAADzws9dzTOYn8kWI1zc7sTtTPrK0aNHxUXI7VLnz5/XrhMbGytuQFNgAeRtMbzO6dOntdMMT5u6LQAAAJaHxbVxcQj86NGjaeHChRKocezYMdq5cydNnDhR7/I8jyMGWZx+/PFHev/99yVyUGPdsSXGdUVFRbRixQqpHzx4sFmPCQAAgBULF7Ny5UoqKCig4OBgaavigAuNlXTkyBFxAWrYunUrtW7dWtx/kyZNopdfflnC3hkOqd+xYwdt2LBB2r0++ugjmeZ6AAAA6sRO0fWj2TAcmMF+VQAAAJb9TLZIiwsAAAAwBIQLAACAqoBwAQAAUBUQLgAAAKoCwgUAAEBVQLgAAACoCggXAAAAVQHhAgAAoCogXAAAAFQFhAsAAICqgHABAABQFRAuAAAAqgLCBQAAQFVAuAAAAKgKCBcAAABVAeECAACgKiBcAAAAVAWECwAAgKqAcAEAAFAVEC4AAACqwiKFKzMzk0aNGkUeHh4UHh5OW7ZsMbjsAw88QJ6entri7OxMnTt31s5v2bIlubm5aecPHTrUTEcBAACgIXAkC2TmzJkiQKmpqXTq1CkaPnw4RUdHU8eOHastu2fPnkrTAwcOpMGDB1eq27VrFw0ZMqTB9xsAAIANWlx5eXm0fft2WrJkiVhIffv2pREjRtDGjRtrXDchIYGOHDlCkyZNMsu+AgAAMD8WJ1zx8fHk6OhIUVFR2jq2tuLi4mpcd8OGDdSvXz9xD+oyYcIECgoKEjdhbGxsg+w3AAAAGxWu3Nxc8vb2rlTn4+NDOTk5JgnX5MmTK9Vt3rxZLLHExEQaNGgQDRs2jLKysqqtm5aWRj169NCWNWvW1MPRAAAAMBV+7mqewfxMthjh4jYoOzs7vYXdguwezM7OrrQOT3t5eRnd7tGjR+n69es0duzYSvV9+vSR4Ax3d3eaP38++fr6ijuxKmyRnThxQltiYmLq6YgBAACYAj93Nc9gfiZbTHDGwYMHa2zjKi0tpfPnz1ObNm2kjt17+gIzdFm/fj2NHj1ahM8YLJCKotRhzwEAAFgCFucq5BB4FqCFCxeKiB07dox27txJEydONLhOQUEBffrpp9XchElJSbJ+cXExFRYW0vLlyyk9PV2sMAAAAOrE4oSLWblypYhRcHAwjR8/nlatWqW1uNjNV9Wq2rFjh7gAuQ1LF24XmzFjBvn5+VFYWBjt3btXwucDAgLMejwAAADqDzsFfjOBGwPZrwoAAMCyn8kWaXEBAAAAhoBwAQAAUBUQLgAAAKoCwgUAAEBVQLgAAACoCggXAAAAVQHhAgAAoCogXAAAAFQFhAsAAICqgHABAABQFRAuAAAAqgLCBQAAQFVAuAAAAKgKCBcAAABVAeECAACgKiBcAAAAVAWECwAAgKqAcAEAAFAVEC4AAACqAsIFAABAVVikcK1YsYJ69OhBLi4uNHny5BqXf/fdd6lJkybk7e1NU6ZMoaKiIu28hIQEGjRoELm7u1O7du1o//79Dbz3AAAAbE64QkNDacGCBSJCNfHVV1/RsmXL6JtvvqHExES6dOkSLVq0SDt//Pjx1K1bN8rIyKA33niDxo4dS2lpaQ18BAAAAGxKuEaPHk0PP/wwBQQE1Ljs+vXraerUqdSxY0fy8/OjV199ldatWyfz4uPj6eTJk/Taa6+Rm5sbjRkzhjp37kzbt283w1EAAACwGeGqDXFxcRQdHa2d5u+pqaliYfG8yMhI8vLyqjSf6wEAAKgT1QtXbm4u+fj4aKc133NycqrN08zneVVh9yG3q2nKmjVrzLD3AAAANPBzV/MMNtak40hmZuDAgXTo0CG98/r06UNHjx6t1fY8PT0pOztbO635zlZW1Xma+boWmIagoCA6ceJErf43AACA+iMmJkYKw+JlMRbXwYMHSVEUvaW2osVw21ZsbKx2mr+HhIRI+xjP42ANXQuL53M9AAAAdWKRrsLS0lIqLCyksrIyKfyd6/QxadIkWrt2LZ09e5aysrLo9ddf14bQR0VFUdeuXSU4g7fx+eef0+nTpyVIAwAAgDqxSOFi8eEoQA5z37Rpk3znOiYpKUlcgPzJ3H///TR37lzpq9WiRQsKDw8XodKwdetWcQFyxOG8efNo27Zt4hYEAACgTuwU9tEB8aeijQsAACz/mWyRFhcAAABgCAgXAAAAVQHhAgAAoCogXPWELXZYtrVjxvFaNzhe9QDhqifUfBPUFVs7ZhyvdYPjVQ8QLgAAAKoC4fC3CQwMpJYtW9Z5fc6rZWv9w2ztmHG81g2O17LgsRTT09P1zoNwAQAAUBVwFQIAAFAVEC4AAACqAsIFAABAVUC4akFmZiaNGjWKPDw8JJnvli1b9C7HzYYvv/yyDK3Chb+rsSnR1ONdvHgxOTk5SfJjTeHhZNTGihUrJD+ai4uLdoQBQ7z77rvUpEkT8vb2pilTplBRURFZ6/GuW7eOHBwcKl1fHp5ITfD1mTp1qtzHPB4fjxqxZ88eq72+RbU4XjVeXwhXLZg5cyY5OztTamoqbd68mWbMmEFxcXF6+0fs2LFDxv7iYVR27dpFq1evJms9XubRRx+VEac1JTIyktRGaGgoLViwQB5Uxvjqq69k5IJvvvmGEhMTRaQXLVpE1nq8TK9evSpdXx4QVk3wsEjNmzeXQWxv3bolo02MGzdOItes8fqW1uJ4VXl9OaoQ1Exubq7i5OSk/P7779q6J554Qnn55ZerLdurVy9l9erV2ukPP/xQ6dmzp2Ktx7to0SJlwoQJirXw17/+VXnyyScNzh8/frwyf/587fT+/fuVkJAQxVqP9+OPP1b69OmjWBudO3dWtm3bZvXXt6bjVeP1hcVlIvHx8eTo6CiDU2qIjo7Wa4FwHc+raTlrOV6GrUp/f38ZXXrVqlVkzei7vmyVZmRkkLXyyy+/SF9Hvh+WLFlicGBXtcDXi+9xfaOhW+P1TTVyvGq8vo6NvQNqgc1n9nfr4uPjQzk5OXqX5Xm6y3Edt3PZ2dmRtR0vuyBiYmIoJCSEjh8/LiNM+/r60vjx48ka0Xd9GT433KZpbfTv35/OnDkj7SX8UGe3ML/UzJ8/n9RISUkJTZgwgZ588klq166d1V/fkhqOV43XFxaXiXCDZXZ2dqU6nuaGz5qW5e9cpxbRqu3xdujQQdpLuIG3d+/eNGvWLBlp2lrRd30ZfefGGuD2yoiICLK3t6fOnTvTwoULVXt9y8vLaeLEidJ2y8Ep1n59y004XjVeXwiXibAJzebz+fPntXUcfKHP9OY6nlfTctZyvFVhgVZjFKWp6Lu+bG2q8W28Lqj1+vI+c6Qdu822b98ukbDWfH0VE49Xlde3sRvZ1MSjjz6qPPbYYxK4cPToUcXb21s5c+ZMteVWrVqltGvXTrl69apy7do1pUOHDlJnrce7Y8cOJTMzUykvL1eOHz+uhIaGKuvWrVPURklJiVJQUKDMmzdPAlH4O9dVZc+ePdJYHxcXp9y8eVMZNGiQ3qAVazne3bt3K9evX5fv586dUzp27KgsXrxYURvTpk2TIKmcnByjy1nL9Z1m4vGq8fpCuGpBRkaGMnLkSMXd3V1p3ry5snnzZqk/fPiw4uHhoV2OH+AvvfSS4ufnJ4W/c521Hi+Lm7+/v9S1bdtW+cc//qGoEY6O5Hc53cJ1iYmJcmz8qeHtt99WgoODFS8vL2Xy5MlKYWGhYq3HO2fOHDlWvg8iIiKUV199VSkuLlbUREJCghyfi4uLHJumbNq0ySqvb0ItjleN1xdJdgEAAKgKtHEBAABQFRAuAAAAqgLCBQAAQFVAuAAAAKgKCBcAAABVAeECAACgKiBcAKgQzu5g6WMmAdBQIMkuABYI58vTkJ+fL4M9ci5Ihsd2U9toAwDUJ+iADICF07JlS/rwww9pyJAhjb0rAFgEcBUCoFIx279/v3xfvHgxPfLII/TEE09IBnPO8M1jLy1dupSCg4NlJNx9+/Zp1+URcTn5atOmTSksLExGQS4rK2vEowGgdkC4ALACeCB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", "text/plain": [ "
" ] @@ -1432,8 +1341,8 @@ " fig, ax = plt.subplots()\n", "\n", " for idx,he in enumerate(he_list):\n", - " res = bitstring_to_expectation_value(np.array(zz_fine[(target,he)])) * bitstring_to_expectation_value(z0[he][grid.physical_qubits.index(target)])\n", - " ax.errorbar(x = np.arange(len(res))*dt,y = res, yerr = 2*np.sqrt(np.array(zz_fine_sdom[(target,he)])**2 + np.array(z0_sdom[he][9])**2),color = blues_color_list[2*idx],marker = markers[idx2])\n", + " res = lgt.bitstring_to_expectation_value(np.array(zz_fine[(target,he)])) * lgt.bitstring_to_expectation_value(z0[he][grid.physical_qubits.index(target)])\n", + " ax.errorbar(x = np.arange(len(res))*dt,y = res, yerr = 2*np.sqrt(np.array(zz_fine_sdom[(target,he)])**2 + np.array(z0_sdom[he][9])**2),color = settings.blues_color_list[2*idx],marker = markers[idx2])\n", "\n", " ax.set_xlabel(\"Time\")\n", " ax.set_ylabel(r\"$S_{ZZ}$\")\n", @@ -1446,10 +1355,10 @@ "ax.set_aspect(0.1)\n", "\n", "bounds = [-0.05]+[np.mean(he_list[i:i+2]) for i in range(len(he_list)-1)]+[1.7]\n", - "norm = matplotlib.colors.BoundaryNorm(bounds, blues_cmap_r.N)\n", + "norm = matplotlib.colors.BoundaryNorm(bounds, settings.blues_cmap_r.N)\n", "\n", "matplotlib.colorbar.ColorbarBase(\n", - " ax, cmap=blues_cmap_r, norm=norm, orientation='horizontal'\n", + " ax, cmap=settings.blues_cmap_r, norm=norm, orientation='horizontal'\n", ")\n", "\n", "ax.set_xticks([np.mean(bounds[i:i+2]) for i in range(len(bounds)-1)],he_list)\n", @@ -1479,7 +1388,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": null, "id": "4a222df8", "metadata": {}, "outputs": [], @@ -1523,13 +1432,13 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": null, "id": "07b0838c", "metadata": {}, "outputs": [], "source": [ - "results_excited_evolution = simulator.run_batch(excited_evolution_circuits,repetitions=reps)\n", - "results_wala_evolution = simulator.run_batch(wala_evolution_circuits,repetitions=reps)" + "results_excited_evolution = simulator.run_batch(excited_evolution_circuits,repetitions=settings.reps)\n", + "results_wala_evolution = simulator.run_batch(wala_evolution_circuits,repetitions=settings.reps)" ] }, { @@ -1542,7 +1451,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": null, "id": "3105d6de", "metadata": {}, "outputs": [], @@ -1583,7 +1492,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": null, "id": "371760ae", "metadata": {}, "outputs": [ @@ -1599,7 +1508,7 @@ }, { "data": { - "image/png": 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Nt8JfPBwizTxZd99dqP9gCVSo4ORTUPbr62gGiwIR4pIXaW7G5rl3o/nLz6FSTr8fo+ZcjdzjZ1q9KGhZtRJrb/89wtVVUCl2yYSJt9+NlNIxVi8KNYQIcYnr2LgB62+7EV31dVC1/FPOwMgrfwWHy2XJ8+989WVsfGCuEns4/eX0eDH+xluQd9z3rV4UapDZGvF4OITozh2I7qxEPNQBh9ujn5Cy680DJLnhysmFu3AYRKvps0+w8Z479O9B9TK+cxjKbroNruRkU0+O2vLoPFT8+1kon8OBUT/7OUp+9GOIVqS+Dp2V2/Xr+WiRLsS7Ivq/7GN2mQFP8Qh4R5QgKS0dds1WiEcqtyP89ZeI7tiO6I5KxBrrB3QhIkcgBZ7SsfCMGae/JQ0vgcNp3VV8q+a/hPK/PgzE47BLyaNLMe6Oe+HNzeP+XLFwGGvvvAX1H74PO1Vw8qkYe93vLJ2G2LVzB4LrViO0bo3+b3SAe5mu9Ax4h5fAy66mOWUqAlMOgl1SHnGtqxOhrz5H6OMliGzbkpDHdPh88IybhMCME3TUzYrt0rO53zULXoYdc2dlY9wd9yCljN86Z9c6WXnD1WhbJ8bZrWaXMe0QTL7zXiSlppr2nF1VO9D4+qto/2opYi3NCXlMd14B0md8H+lHH4ckxS++pizibCu7Y9GbCC39BFooyO153KPGIDDzB/BNORi8r/O98e7b0bz0M9g5djGtMb+7GVlHTE/4Y3ds2YwVv/2N1FM0ExG7fvkB9z0Af1ER1+cJbd6AxgXz0c4Oymuc9ipdSUj9zmHIPOV0+EvHQsWURDz44Xtoe+UFaJ1h057TVVCEwPEnw3/oEXC4Ers7yg5crrv5BgS3bEro40qb06nPJS+cdU7CHrJx6WdYfcvvEOvoSNhjypw7IxOT7/kj0icfkPDH7lixHI0LXkZwzUqYlsOJzJNOQc45F+oHc1VKKcSj9bVoffaf6Npg3a6wMyMLaWddAN/UQxJ28ap1t9wgxenzZpd/6hkYecXQZ66oPgNlSDNXbroVeTOOT8jjhbdtQfXfHkbn1s2wKndBEQoun4PkcROhSsogvmvr+3lonZ0QIf+RRyP1rAuHdG3nps8/1YdQ7DADZbBlHPLtzBX/4GaubH7kIVQ890zCl0upmSuXXYGS2ZcM6WEaX5uP+heehRaNwvIcTmSccDJyz79YiatoKoF428L/oOOtBRAtV14+Mi65Au5BvO5kw4fvY9O9d9DW4QBKnXQAxt91/35PQVx//92oWvgKt+VSqRGzL8boy3+x318XaWxA9WMPIrhqBUQrMPU7KPr19dJDLj3iogLencuFlFNm6ePlA52WyF68YdP9dwt5+VhRSxk/EePvnoukQMqA5oCvv+8uVL/xminLpkrDz7sQpb+4asD3b/viM334JN7eBlELKAC51IgLD3iPPGXjkX7x5XDt43KrdYvexuY/3WurOeCJKlA2DhPu+dNep8exPZt1d9+OmnfeMnXZVGnYWefqLzaxr9cWrX36H2hZ/A5kKCA55NIi3vb6fHS8IdeusDM1DZlzroO7uP9Lgda++Rq2PPQnAnyIF8+acO+f4O7nDD42Hrv2rltR+967liybKhWd8UP9Soj9xV6WrvLe2y09eDlYyIdd8zs4nNZc3mEoWXfa4RDqXL8GHW++CtmKt7Wi8cF7ESnf2udzNa+9ii0P/pEAH2LBzRux9re/7nN7PBrF6ttuIsAT0M5X/oP19/+hz+3RpkZU3HGTdICzOpZ/icbX5DNFSsTZrhqbRjiQ0+VFTAuHEO/oO0bYxaYQSvo9ifjCGLvHXn2HXfGRStyZrbsXa2tFrFXeddzwn+fQubMSsiUd4u2vvoBYg6RX7XM6kf7jK+CdOKXPp4Zf/BMMu+AiSxZLpTy5uZh4/4N9bmfXzZ5y/wNIP3CqJculUtlHTseku+7rczu7bknxjXfor9IkY1okgurH5+kHvmVKKsS7Nq7T54PLDLj/4EP3eBeCPDGA+4r6v+okm4JIkCcG8D0dBPSVjJIa8vDG9Wh6cyFkSirEW577l5xDDgMA3Igg5wO4EUHOD3BVIK9/8Vl9fF+WpEG8c+0qxGqqlAbciCDnA7gRQc4PcBUg17q60PKBPHv80iAe/O8SWwBuRJDzAdyIIOcHuAqQNy9+V5qxcSkQZ0e8O79ZDrsAbkSQ8wHciCDnB7jskEfra/WrLcqQFIiHPv1IrlPQEwC4EUHOB3Ajgpwf4LJD3iLJGadyIP7Jh7Aj4EYEOR/AjQhyfoDLDHn7si8QbW6C6DllGEqJ1dfCroAbEeR8ADciyPkBLi3k8TjCmzdC9IRHnL2gsd0BN7I75LwANyLI+QEuK+SdFeUQPfER31kB4TMBcLtDzhtwIztDzhtwGSHv3L4NoicB4oJviZsIuF0hNwtwO0NuFuCyQd5JW+JDL7JD4C1xCwC3G+RmA25HyM0GXCbIu6p2Ih6JQOSERzxWVwMhsxBwu0BuFeB2gtwqwKWBPB5HRFSDZEEcIl6kXQDAVYfcasDtALnVgMsCuUNEg2RC3CHaSyYJBLiqkIsCuMqQiwK4DJA7BFlH8iKeJNAKFBBw1SAXDXAVIRcNcNEhd3g8EDnxERdlBQoMuCqQiwq4SpCLCrjIkDvdghgkK+IQYUtcAsBlh1x0wFWAXHTARYXc4RF7fQmPuNPns3gB5AFcVshlAVxmyGUBXDTIHV4vHdgcau6Ro617cgkBlw1y2QCXEXLZABcJcl9pGURPfMTHjLPmiSUGXBbIZQVcJshlBVwUyJPHT4LoCY+4p3Qs4HCY+6QKAC465LIDLgPksgMuAuR+QnzoOf3JSBo23MQnVAdwUSFXBXCRIVcFcEshdyXBX2bRSIBKiLM8Zg2pKAi4aJCrBriIkKsGuFWQ+0aXwun1QvTkQLxsPP8nURhwUSBXFXCRIFcVcCsgTx4/ETIkBeLeiQfAkcLxh2YDwK2GXHXARYBcdcBNhdzhQNr0YyBDUiDu8HgROPp4Pg9uI8CtgtwugFsJuV0ANwvywEHT4B1eAhmSAnFW8tHH6xPvE5oNATcbcrsBbgXkdgPcDMizTpsFWZIGcWcgBf4jE7h7Y2PAzYLcroCbCbldAecJuX/seCSPk2M8XCrEWYHjTgBcCTgFlgDnDrndATcDcrsDzgvyrFPl2QqXDnFXZjZ83zl8aA9CgHOHnADnDzkBzgdyz7DhSJkmlw1SIc5KmXkKkJQ0uC8mwLlDToDzh5wA5wd59qxzIVvSIZ5UUITU087e/y8kwLlDToDzh5wA5wd56hHTkXbEdMiWdIizAsedCM/4yQP/AgKcO+QEOH/ICXB+kCfl5CL/0isgY1Iizkq/6GcDOwGIAOcOOQHOH3ICnCPkDicKr/g1XIEAZExaxF3pGUi/8NK934kA5w45Ac4fcgKcL+RZp81C8gTxr1aoHOIs35SD4Z9+bP+fJMC5Q06A84ecAOcLua+0DDlnnQ+ZkxpxVtoPz4crv7D3jQQ4d8gJcP6QE+B8IXd4fSj8xdVwJOLcEwuTHnF2XZXMy6+C0xgfJ8C5Q06A84ecAOcMucuFojlXw1Ow2waghDk0TdOgQJHKcjTOm4u0cy8iwDlV8eQ/UPfumwQ4p2LBIFb89jdICgQIcE6Fy7ei8p7bkHfxT5F2xFFQIWUQZ8VDITj9fqsXQ+li4RBcPlrHvIp1duq7987BntBG2S6lEKcoirJb0o+JUxRF2TlCnKIoSuIIcWrAadEIYhXbrF4MpYvW1SLW0mz1YlASpQzi7R8uRsVlF6L5P89ZvSjKAh56+m8IPvYAohvWWL04ygLe+Jd79DeCnE/BLz9DxeWz0fjU36FKSiDe8d8P0PTMPwBNQ9tbCwlyToDH1q0C2PtPPk6QcwI83tyIWG01Qc4J8Ia//Q8Qj6Pjo8VoevYJqJD0iHd89jEan/yrDrgRQc4JcCOCnBvgRgQ5P8CN2t9/F03PPw3Zkxrx4BefovGJx3oBbkSQcwLciCDnBrgRQc4PcKP2RW+i+aX/hcxJi3hw2VI0/OORfn8wRgQ5J8CNCHJugBsR5PwAN2p7+zU0z38esiYl4uENa3f9YGKxfd6XIOcEuBFBzg1wI4KcH+BGbW+8irbFb0PGpEM8UlOFhkceAKLRAX8NQc4JcCOCnBvgRgQ5P8CNmp9/GqEVyyBbUiEea29D/UNzEe9o3++vJcg5AW5EkHMD3Igg5we4XjyOhr/OQ9d2uc6FkAZxLRJB/SN/RrS2etCPQZBzAtyIIOcGuBFBzgnwb9M6O1E/by6iTQ2QJWkQZ9MIuzauH/LjEOScADciyLkBbkSQ8wHcKNbchPp5f0Q8HIYMSYF4y4KXEPz8vwl7PIKcE+BGBDk3wI0Icj6AG0UqytHwt3nQEvR4tka849OP0Lrw5YQ/LkHOCXAjgpwb4EYE+a4SDbhReMVyNP/7KYie0IiH169F41N/4/b4doacK+BGNoecJ+BGdoc8yAlwo/Yl76Bt0ZsQOWERj9RUo+HR/ZtKOJjsCLkpgNsccjMAtzvkvAE3an7hGYS+/gqiJiTiWqRLB3wwUwkHk50gNxVwm0JuJuB2hdwswPU0DQ3/fBTR+lqImJCINz3/DCI7Kkx9TjtAbgngNoPcCsDtBrmpgH+bFgrqz6lxHhlQAvHgV5+j44NFljy3ypBbCrhNILcScLtAbgXgRl1bNqHllRcgWkIhHq2vQ+OT/A5k2hVyIQBXHHIRAFcdcisBN2p753WEVn0DkRIGcbabos/LDAWtXhSlIBcKcEUhFwlwVSEXAXA9TUPjPx/VTwgSJWEQb31tvr67IkoqQC4k4IpBLiLgqkEuDODfFm9rReO/HocoCYF4pGoHWt9aANGSGXKhAVcEcpEBVwVy0QA3Cq9egY6ln0CEhEBcf627AVwb3IpkhFwKwCWHXAbAZYdcVMB7zh+PB60f/nWKcFp953qxf4FlglwqwCWFXCbAZYVcdMBZ8ZZmtAjwikCWIh7v6EDzi89ChmSAXErAJYNcRsBlg1wGwI3aP1iErm2bYVvEW155Xj9IIEsiQy414JJALjPgskAuE+Dds1We+SdsiXi0sQHtHy2BbIkIuRKACw65CoCLDrl0gH9bpHwrQl9/Cdshzl5hWtSDmTJBrhTggkKuEuCiQi4r4Eatby6wF+Kx1hZ0fCzfVrhokCsJuGCQqwi4aJDLDjiLneMSXrvKPoiz6/NqXV2QPSshVxpwQSBXGXBRIFcBcKPWN16BLRCPh4Jof/9dqJIVkNsCcIshtwPgVkOuEuCsznVr0Ll1s/qIh75ZBi0UgkqZCbmtALcIcjsBbhXkqgFuFPzsI6iP+FdLoWJmQG5LwE2G3I6Amw25qoCzQsu+gNKIx8NhhFeLdRlHWSC3NeAmQW5nwM2CXGXAWezqhp2b1kNZxMMrl0OLRKByPCAnwPlDToDzh1x1wI2CJm+Nm4q4lRPiZYWcAOcPOQHOH3K7AM4KLf9SXcS7yrfBLiUCcgKcP+QEOH/I7QQ4K1Zfi3iwA8ohzoZRonU1sFNDgZwA5w85Ac4fcrsBbhTZuQPKIR6pqbLdD3KwkBPg/CEnwPlDblfAWZGdlVAO8aiJf5lkhpwA5w85Ac4fcjsDbrxamXqI19fCzg0EcgKcP+QEOH/I7Q44y8yhY/PGxG38Ax0I5AQ4f8gJcP6QE+DfZuL3b/nLs9kR8tZ3Xu9ze/j5JwnwBEIeY8dgehTvaCfAEwn5g/dC2+1S0uzFgwlw8yPETc6VlY3kg77T53b3YUcBbo8ly6RarjHj4MzO7XWbM5AC/+HTLVsm1Uo+agYcLlev2zylY+EpLbNsmewaIW4y4HnX/B5Jefl9Ppc0Zhz8l1xBkA8x1/jJ8P/oMjiSkvp8LvXUHyJw4mmWLJdKpZ51IQLHzuxzu9PnQ+6vroenbJwly2XXTEPcmRyAndsb4EYEOT/AjQhyPoAbEeTme2ca4u7CIti1gQBuRJDzA9yIIOcDuBFBDriLihVE3MRvSlbAjQhyfoAbEeR8ADeyO+TuomHqIe5Kz9APLtmpwQBuRJDzA9yIIOcDuJGdIU8qVHBLnJVk4l8nmQE3Isj5AW5EkPMB3M6QO9xuJOXmqYm4b/xk2KFEAG5EkPMD3Igg5wO4XSH3jpsIh9OpJuLJ0w6F6iUScCOCnB/gRgQ5H8DtCLnfZOdMRdw9bDiSCtSdpcIDcCOCnB/gRgQ5H8BtBbnLBX8/J/MpdbKP/+BDoGI8ATeyO+Q8ATeyO+S8ALcL5N6xE+BKSVUb8eTvHAbVMgNwu0NuBuB2h5w34HaAPHma+b6Zjrhn+Eh4y8ZDlcwE3K6Qmwm4XSE3C3CVIXcGUpB82HfNf15L/sOcfDpUyArA7Qa5FYDbDXKzAVcV8pTjTtC/J1sg7p98INwjRkHmrATcLpBbCbhdILcKcNUgd3h9SJ1xor2uYph2sry/GCIArjrkIgCuOuRWA64S5ClHHw9nIGAvxP1TD0FSoXxncIoEuKqQiwS4qpCLArgKkDvcbqTOPNmy57cMcXZGU8Y5syFTIgKuGuQiAq4a5KIBLjvkqSedpl8bypYvCsHGxv0WTMlRDXAj2SEXGXBVIBcVcFkhT8ovQJrF/x8sf2WfzPMugsPnh8jJALjskMsAuOyQiw64jJBnXnCpPpxia8RdGZlIP/0siJpMgMsKuUyAywq5LIDLBHnyoUfCN9H6i/pZjjgrZcYJcI8YCdGSEXDZIJcRcNkglw1wGSB3+JOFOaYnBOLsIGfWJZcBSdbulqgCuCyQywy4LJDLCrjokGee9yNLD2YKh7hxOn7G2RdAhFQAXHTIVQBcdMhlB1xUyJMPn47AkUdDlIRBnJU64wT4p5p7GUeVARcVcpUAFxVyVQAXDfKk/EJkXngpREooxFlZF18OV1aOJc+tIuCiQa4i4KJBrhrgwkCe5Eb25b+05PooUiHOTl3N/tkc/eLqZqYy4KJArjLgokCuKuAiQJ5x9gX6sK9oCYc4yztmLNLPONu057MD4FZDbgfArYZcdcCthNw/9RB9uFfEhEScxc6CSj7iKO7PYyfArYLcToBbBbldALcCcveIUcj6yRUQNWERZ2Vd9DN4x/J7AQk7Am425HYE3GzI7Qa4mZC7MrOQ+8tr4fSKNQ4uDeLsFz/7yqv1I8KJzs6AmwW5nQE3C3K7Am4G5A6vDzm/vE4/q1zkhEac5QqkIOdX18GZwBcfJcD5Q06A84fc7oBzhdzpRPblv4JneAlET3jEWe68AuRceXVCzugkwPlDToDzh5wA5wt5xnkXwX/AQZAhKRBnecvG7To1fwgR4PwhJ8D5Q06A84U85bgTkSrR+pUGcVbgsO8i7bTBXfGQAOcPOQHOH3ICnC/kvgOnCXNhKyURZ6WfOmu/px4S4PwhJ8D5Q06A84XcPWIUsn/2C/2CfDIl19L2nHo4ftKA7kuA84ecAOcPOQHOF3JXdo7wUwmVQpxhkTPnGnjL9j6HnADnDzkBzh9yApwv5C7mxLW/F34qoVKIs9hfzJxf/Rae0rJ+P0+A84ecAOcPOQHOF3JXRiZyr7kJSTl5kDVpEe/1AxpZ2ut2Apw/5AQ4f8gJcL6QO9PSdcDZFGaZkxpxljM5Gbm/vqH75d0IcP6QE+D8ISfA+ULuTE1DHgO8oAiy59A0TYMCxdrb0PjEY8g89yICnFPRTesR+fwj+M69hADnVNvC/+hnJxPgfIqHw2j8xyNIO/0seIpHQIWUQZyiKMqOST+cQlEUZecIcYqiKIkjxCmKoiROGcTZ0H5TdTVisZjVi6JsXZ2dqK+usnoxlK69phrBxgarF0PpWiq3IxaJQJWUQbxm21bUbi9H5fp1BDknwMs3rEfdzp2o3VFp9eIoC3jtmlWoWfE1Qc6purWr0bBhPaq/WY54NAoVUgLx+soKtNTV6e+H29sJck6AR7/demmoqSHIOQEOTYMWjxPknABvq9qpv9/Z2oKaVSv0PXjZkx7xYGsrGnbu+sEYEeT8ADciyPkAbkSQ8wPcKNTYgJbt5ZA9qRGPRaOo2rK5388R5PwANyLI+QBuRJDzA9yoccsmdLa1QuakRrx661ZEu7r2+HmCnB/gRgQ5H8CNCHJ+gOtpGmpXr0RcYiOkRby5rhbtTY37vB9Bzg9wI4KcD+BGBDknwL8tEgyiYeN6yJqUiHeFw6gtH/hYFkHOD3AjgpwP4EYEOR/Ajdp27kBHXS1kTDrE2X/mqs2b9H/3J4KcH+BGBDkfwI0Icj6AG9WtW4NoZydkSzrEW+rrEO7oGNTXEuT8ADciyPkAbkSQ8wGcFY9E0LRlE2RLKsTZnM7GqqGdMUiQ8wPciCDnA7gRQZ54wI3aqqsQ7QxDpqRCnB3IjCRgd4cg5we4EUHOB3AjgjzxgOtpGloqtkOmpEK8YYhb4T0jyPkBbkSQ8wHciCDfVcIA/7bWHZVSXVtFGsQ7WlrQOcix8D1lZ8h5A25kZ8h5Am5kd8jrEgw4S4vFdMhlSRrEGxP8g7Iz5GYBbmfIzQDc7pDzANyotWK7NCcASYF4ZzCoXyOFV3aC3GzA7Qi5mYDbFXKegLNikS501FRDhpyyDKXwzg6QWwW4nSC3AnC7Qc4bcCNZ1qMUiIfa2kx5HpUhtxpwO0BuJeB2gdwswFnh5mbIkBSIB9vNQVxVyEUBXGXIRQBcdcjNBJwV6+rUr6siek4ZxsPNfgUOlSAXDXAVIRcJcFUhNxtwo1BzE0RPeMSDJg2lqAi5qICrBLmIgKsGuVWAs8KE+NALWXjBdpkhFx1wFSAXGXBVILcScBYhnoAScZq93SCXBXCZIZcBcNkhtxpwVjQs/nVUhEdci1v/SyIT5LIBLiPkMgEuK+QiAG60v5e9NjvhEY9rYqxAGSCXFXCZIJcRcNkgFwlwluhnbgqPuEh/BUWGXHbAZYBcZsBlgVw0wEUzqL8IcQUgVwVwkSFXAXDRIRcRcBENkg7xuIArUCTIVQNcRMhVAlxUyEUFnKXFrf89lxpxV1ISREwEyFUFXCTIVQRcNMhFBpzlTHJD5IRH3Ov3Q9SshFx1wEWAXGXARYFceMDdbiR5vRA58RFPTobIWQG5XQC3EnI7AG415KIDzvIEUiB64iPuFxtxsyG3G+BWQG4nwK2CXAbAWZ4UQlz5LXEzIbcr4GZCbkfAzYZcFsBZnpRUiJ7wiHt8PjgcDtgdcrsDbgbkdgbcLMhlApxFW+IJyOF0IpCRCVniATkBzh9yApw/5LIBnuTzwZuaBtETHnFWRl4eZCqRkBPg/CEnwPlDLhvgrNSiYVKMAkiBeCA9HW7Bp/nwgJwA5w85Ac4fchkBh8OB1MJhkCEpEGel58q1NT5UyAlw/pAT4PwhlxJwAMk5ucLPD5cQ8Vz9r6MdICfA+UNOgPOHXFbAWWlFcmyFS4V4ktuNzLx8yNj+QE6A84ecAOcPucyAe9MzkJydA1mSBnFWTnGxdGPj+wM5Ac4fcgKcP+QyA+5wOpE7YSJkSirEnS4XCkaNhqztDXICnD/kBDh/yGUGnJU5egw8yQHIlFSIs5LT0pCRL+ewigF5c3W1/r7WA5OaigoCPIGQhzra+7wqS/36tQR4giBnWO9+nW0Gu8yAe9PSkT58BGRLOsRZucXDpR1WYQdos4qK9Pd7zkEtGjkSPgmuEyNDBSNGwP/thYvY3lv37QdOhcMl5qWNZYpd2a+QrUtnbz6Ss7KRM24C5B1GmSTFvPDdc2g9NwclqqszjIq1axHt6oIsZRcVIad4+B4/H4tGsX3TRoSDQVOXS6UKS0qQsZeDUuGWFlR/swzxaNTU5VIll8eDwqnT9np1PzZsVbduDTQBXjRloICzP/D+zCzImLSIywR5EvuPP7pUHwraV2y8vGLTRoQ6OkxZNpViezPpWdn7vF9nayuqvmaQ0/DV/uTyeL8FfN9jxpFQELWrV+rrWuQckgMuPeIyQJ6SmYWCUaP26xWKdMg3b0Kofde4LrXvho0ahbT9+EXsbGtD1ddfIU7HIQaUy+tD0dRpcO/HVUXZmHnTti1o3rYVIuZQAHAlEDcgr1y3DpHOToj0HyS/pGTQZ5qyA3IVWzYj2NaW8GVTKTaGWcQAH8RF0rra23XIY4JuAIhSks+vb4G7B/kqW6HmJtStWYVoOAxRcriSUDDlQOkBVwZxA726ygo019RYvSjwBQIoLB2jX0Z3KLEtmart5WhpbEzYsqmUy+VCcWkpkodwzedIOITqb5YjQsNXe5yxUTDlIH0sfCjFIhF9dlBHrfW/n/7sHOSOm6BfpVCFlEHcKNjaiuqtWyzZKnf7fMgqKER6Tk6fI/dDqa5qJ+qrqhL2eCrk8XoxPAF/KFlsbLxm1QqE6I9lrwK5ecidOLnXDJ+hFqyvR3P5VoRbmmF2zqQkZJeNQ2rhrtlhqqQc4sZWeX1lJZrYX30Tvj225Z1VWISUzExuU5TY1nhV+bZec8vtmj8lBcWjS5G0H8cZBrLXU79hHdp27kjYY8pceslIZJeWcXt8hnhz+TYE6+tg1gWtctjWt6RTk22HuBE7eaalrg4tdbVctsyT09KRVVSIQFo6zCjIzvjcslmfimjX0rKyUDSiJKF7Oj1jsDRu3gjb5nDo2Jl1ASh2XKJ5+zZ9WmKiN7icbjdSC4r064IPZEaNrCmNeM86WlrQXFuLjuamQW/Nshkm/pRU+NNSdbiteP3PrnBYn7nCTtO3WzmFhcg1YVeYjduy0/N3PyNR9dhwQ97kKfpJO2YX7Qwj2FCPcHMzws1NQzoI6svIQGpRMVLy8rn9sRcp2yBuxH4xGYSdoSA6g+wtpL8fj8bgcDr0Hzp7c7J/HU64vR74U9OQnJoqzIs2sy1xtkXOtsztEBuiKhxRgvRs83AJt7bo1wixy8wVdpCPTbfb20k8ZsYOODPMGepsa5393u56i3W/z/YaPIEU/XUw2QsaG+8ncgxfhmyHuCrZZeaKPgOFnSiVav6rjttl5kqiZqBQ1kSIS159dTXqFD0Y5/X7UTxqdEJmoAxl5krtmtWmHYAzu5SCQn0M3G5brypFiCsQG1bZsW2rsGetDqbMnFzkFRfrw1oi1FKxXT/gqco4ucPlQs7Y8cpNt7NjhLgisXHyqvJytFkw/zaRsS1CNv6dlrn/Z2DyrrOtFbWrVurXBZE5Nm7MDmDKdt1sqv8IccVqrK3VXxRBxh+rPxBA0chR+ok8osaufsjOPNSnxElY2rDhyC4ba4tZG3aJEFcwdilbdmJQOBSCLLNPsvML9CmEslzPmb34QcOmDdJcQItdgTBn3Hj9LExKrQhxRWM/1qa6WtTt3Im4wOO4ySkpKBhRAq+E17Fg0w/ZOLnQr2bjcCBtWDGyRo/R54FT6kWIK16kqws1lZVoa26CSLETp/KLiwd0/W/RY/OZ69avQ+Tbl4QTJW9amj7zxJu67+vYU/JGiNukdnbySmWlfqKTpTkcyGRXkSsq2q9rrIsem7XCZrCwiztZ/apBLrcHmaNGI3VYsTTDU9TgI8RtFPtRtzU3o6G6GmGTZ1iwA2nsZdOy8/PhVvikEgZ4644KtGzfjliky/SzLtOHl+jXCqF53/aJELfxljk7UYj3qwcxTNic76y8PCS53bBL7EqabVU70LK9nPuLIbBX28koGYmU/EKadWLDCHGbx2aytDY3oa2pKWEX1WK78Clp6UjNzEBKeoZ+6rxdY8MsoaZG/aJaHfV1CZvNwk6RZzNNAnn58GXwuwQyJX6EONVdZyikg97R1oauUEh/rc+BxuZ2+5KTkZqRoQNOu/N7AJ2t37padLa0IBLsGPAZoOwMS3Zyjjc9A4G8PPjSMwhuSo8Qp/Z6PfbOMLvKY1gfHuiVYxfcHp8fXq+XduMHEfvVi4ZC6Oro6Bf0XXAnwx1IGfTrW1LqR4hTFEVJHG0+URRFSRwhTlEUJXGEOEVRlMQR4hRFURJHiFMURUkcIU5RFCVxhDhFUZTEEeIURVESR4hTFEVJHCFOURQlcYQ4RVGUxBHiFEVREkeIUxRFSRwhTlEUJXGEOEVRlMQR4hRFURJHiFMURUkcIU5RFCVxhDhFUZTEEeIURVESR4hTFEVJHCFOURQlcYQ4RVGUxBHiFEVREkeIUxRFQd7+DwfgTxLqgRflAAAAAElFTkSuQmCC", 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", 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", 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", 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" ] @@ -1632,10 +1541,10 @@ "code = tcr.ToricCodeRectangle(origin_qubit=cirq.GridQubit(0,0), row_vector=(1,1), rows=grid.cols, cols=grid.rows)\n", "\n", "for coupling in coupling_list:\n", - " tc_plot.ToricCodePlotter(z_cmap = diff_cmap, x_cmap = matplotlib.colormaps['binary']).plot_expectation_values(tc_plaq.ToricCodePlaquettes(\n", + " tc_plot.ToricCodePlotter(z_cmap = settings.diff_cmap, x_cmap = matplotlib.colormaps['binary']).plot_expectation_values(tc_plaq.ToricCodePlaquettes(\n", " code,\n", " x_plaquettes = np.zeros((2,3))-1,\n", - " z_plaquettes = {(grid.cols - p%(grid.cols+1),p//(grid.cols + 1)):bitstring_to_expectation_value(np.mean(occupations_excited[(coupling,9)],axis=0)[p])-bitstring_to_expectation_value(np.mean(occupations_wala[(coupling,9)],axis=0)[p]) for p in range((grid.rows+1)*(grid.cols+1))}\n", + " z_plaquettes = {(grid.cols - p%(grid.cols+1),p//(grid.cols + 1)):lgt.bitstring_to_expectation_value(np.mean(occupations_excited[(coupling,9)],axis=0)[p])-lgt.bitstring_to_expectation_value(np.mean(occupations_wala[(coupling,9)],axis=0)[p]) for p in range((grid.rows+1)*(grid.cols+1))}\n", " ))\n", " \n", " title_text = r'$\\langle A_v \\rangle_{\\mathrm{string}} - \\langle A_v \\rangle_{\\mathrm{vac}} $ with $\\lambda = $' + f\"{coupling}\"\n", @@ -1650,7 +1559,7 @@ "norm = matplotlib.colors.Normalize(vmin=-1, vmax=1)\n", "\n", "matplotlib.colorbar.ColorbarBase(\n", - " ax, cmap=diff_cmap_r, norm=norm, orientation='horizontal'\n", + " ax, cmap=settings.diff_cmap_r, norm=norm, orientation='horizontal'\n", ")\n", "\n", "ax.set_xticks([-1,0,1],labels=['+1','0','-1'])\n", @@ -1684,7 +1593,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": null, "id": "be00db3f", "metadata": {}, "outputs": [ @@ -1700,7 +1609,7 @@ }, { "data": { - "image/png": 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", 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", 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", 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", "text/plain": [ "
" ] @@ -1733,19 +1642,15 @@ "\n", " res = [np.mean(occupations_wala[(coupling,p)],axis=0)[5] for p in range(len(trotter_steps))]\n", " sdom = [np.std(occupations_wala[(coupling,p)],axis=0)[5]/np.sqrt(np.shape(occupations_wala[(coupling,p)])[0]) for p in range(len(trotter_steps))]\n", - " ax.errorbar(x = np.arange(len(res))* dt, y = res,yerr = sdom, color = BREAKING_VAC, marker = mark, markersize = ms, label = \"$A_{\\mathrm{vac}}$\")\n", + " ax.errorbar(x = np.arange(len(res))* dt, y = res,yerr = sdom, color = settings.BREAKING_VAC, marker = mark, markersize = ms, label = \"$A_{\\mathrm{vac}}$\")\n", " \n", " res = [np.mean(occupations_excited[(coupling,p)],axis=0)[5] for p in range(len(trotter_steps))]\n", " sdom = [np.std(occupations_excited[(coupling,p)],axis=0)[5]/np.sqrt(np.shape(occupations_excited[(coupling,p)])[0]) for p in range(len(trotter_steps))]\n", - " ax.errorbar(x = np.arange(len(res))* dt, y = res,yerr = sdom, color = BREAKING_TOP, marker = mark, markersize = ms, label = \"$A_1$\")\n", + " ax.errorbar(x = np.arange(len(res))* dt, y = res,yerr = sdom, color = settings.BREAKING_TOP, marker = mark, markersize = ms, label = \"$A_1$\")\n", " \n", " res = [np.mean(occupations_excited[(coupling,p)],axis=0)[3] for p in range(len(trotter_steps))]\n", " sdom = [np.std(occupations_excited[(coupling,p)],axis=0)[3]/np.sqrt(np.shape(occupations_excited[(coupling,p)])[0]) for p in range(len(trotter_steps))]\n", - " ax.errorbar(x = np.arange(len(res))* dt, y = res,yerr = sdom, color = BREAKING_BOTTOM, marker = mark, markersize = ms, label = \"$A_2$\")\n", - "\n", - " \n", - "\n", - " \n", + " ax.errorbar(x = np.arange(len(res))* dt, y = res,yerr = sdom, color = settings.BREAKING_BOTTOM, marker = mark, markersize = ms, label = \"$A_2$\")\n", "\n", " ax.set_xlabel('Time')\n", " ax.set_ylabel(r'$P(A_v)$')\n", @@ -1770,7 +1675,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": null, "id": "f876333f", "metadata": {}, "outputs": [], @@ -1805,12 +1710,12 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": null, "id": "d9cde0f6", "metadata": {}, "outputs": [], "source": [ - "results_resonance = simulator.run_batch(resonance_circuits,repetitions=reps)\n", + "results_resonance = simulator.run_batch(resonance_circuits,repetitions=settings.reps)\n", "\n", "counter = 0\n", "\n", @@ -1836,13 +1741,13 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": null, "id": "29879cae", "metadata": {}, "outputs": [ { "data": { - "image/png": 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Mf3VPsATCEglLKEFX2diNF5ZOqY9mdZ2ztx+/SgnHXKXcXMsTDluuxvGNnynhmBg77z5w73YBynIdeKG4mAPtoEu8KXZYpBTQX14eiWfd2ab8uf7gIL7uWtb2tWebUMIxQ6l3/0b8iZFQlG0HJ7/1FrPYpqVhq1M7t9wKx6aroY29iKh/XkdyyM9mP3GF5EZ/fc9gCcV/99FCbyemLf3hAcQdGwgb10a88iW7YZGYrucLxX3wpFDcz1QozkJQS4dYrIzI44gNeAtyh+pwab0dUrla7JBIEQvFOTRaAm1EIC8fkXJrPbV6LAAlHWKRWPdMzKEekKrKwaXtbkiVzmKHRF6qUNxouHU7y4vgxQcNR+yRvrwiKzFflHSIxdElhCLmYBdI5Bq4tN1DlSwtoFCca/uDmYXi7u9B1M56VCjOjFHSIRZFnxyOmIOdAEEP17a7Idd4ix0SKcFCcW5dTkGmrsALxcUeGwRDeozYoZEioqRDLIY+LRLRBzvDkBEHlzb/QO6YuWgpsRw2TjXh2unY00JxO+sh7X7uZaCIaaOkU4CtX/ugdX17HNi/V+xQyAsYMuIR829X6JPvwqW1P2xcG4gdEjFGoTilC2IP9UDciVFUKM5MUNLJAysBMGpYX+w8dA0LR6Ri46KBGD283wtLA5hjuWpLKEnN6rPEBrwJXewlOLfYDIWHn9ghEaMWivsYqTd/RdQ/DZD+yDLqPVkySjrP2L9vD7q0rot25bZj7mADyjhJMHdAHNp4+qNrm7ql0uoRs1y1uZekFvQZiD3SHxkRgXDyWwfbVzqJHRIxeqG4uXDtcAiQ2iDmQHvEn55EheJMGCWdZ1o3v/0wCKtHhcOvBitv8FTzmgasGhleKq0eMctVmzPBoEdc0FCkP9gDx8bLYefdV+yQiEgU7k3h1vUMVNXH8kJxkf80REbkCbHDInmgpPNEvzfb8NbNV2/HQWOX9zL2bHtWq4ftb0nlqs2tJDW7STD+1Fik3fkT9g2+harqCLFDIiJjN/86Nlz0pFBcGqL3tUTCuc+oUJyJsaplcAoqV13W7g7KOunzLN723L7OepSzu4PofW0toly1uZWk5jVxzn6C1BuroKk9DZqaH4odEjG5QnHnnhSK+zZHobh6YodGqKXzVLtGnjh0sXCHg+3XtpGnxZSrNreS1OxCknz1e6iqjYHG53OxwyEmSKpwgFOTFXButQ2GtChE7W6CxEtzeZlyIi6raukU1ALp2SwZfTu9hv/h0Qu/z/HbZTD55xNQqVQWUa7anEpSJ19fhsTzM2BX6R04NFxEFT1JgWzLd4Wi+3nEn5qApAuzkH5vB1/F2sYx/5pPWT0YbIV5UvKopfMEm1ostfVASnrBF9uUNAEyO49iJxxm5syZaNq0Kbp27cpf16tXL89xHZZUsmaWPft4NuFk/S69e/fm359NKggMDIS/vz8GDRr03L6sJPXevXt5AmSJis10O3LkCDp1Mr1ZYCm3NiLh9AQoy3eHY5OVVBOHFIpU6Qrn5hvg1Pw36JJuI+qfhki6shCCkHuyUJaA/6LQZ+opuj+vlNBfbQ5tO/RC0NWCPzkHXpOgXae3iv2zTp06xbvVFi5cmL2NJZ2SmsG2bNkyPkHBw8MDAwYMwPLly7NbOqzlNHfuXP5vrVaLzz77DO7u7nwiwZIlS7Bt27ZckxBMQVr4DsQfHwFFmVZwbr6J3yBISNELxZ2Hsmz7zEJx+1mhuFui3Z9nrahcdQ7s/pR5k1viy/7R+e4z/Q83fLLgsMldlC25XHX6o0OI+bc7bJzrwqXdXkht8h6bIqQw2CUv9dZ6JJyZxNfoYwuJBt72wpzp72N8xwe5bpc4ekWKpfvLYebcn9CufUdR47aUa7JVjem8CEskkdrKGLbCkb/Wp9zjzzJV+ex9FCrX7HESUvoyok4hNqAX5A5V4NJmJyUcUjKF4l4dzGe5hR8chqljRkMqs8HqUfrnbpdg9+fVrxSOuYsGYstvrfHd4lX5TsghhUNJ55mTcfueILHDIE9o4y7zFo7Utgxc2rCaOC5ih0QsrFDc6MXxGNFYDr+arHVT8P15R6+w+/NuY/fB00aP1ZLQmA4xSbrEm5k1cWS2cGm3BzJVWbFDIhaoorc3yjrnPaEgr/vzWNl6UjyUdIjJ0ac8QMzBzhAMGbzqp1xTSeyQiIXq2mswAq4UbiZqQLCK70+KxyqSjoXMlbCK42xIj+YJx5AexcdwWP0UQkpLmzZtEXQjcwz3Rdh+bH9SPBafdNhimmxaMCl97DizNd9eFquHEnOwK+9ac275NxSuviUaHyGmcH+etbP4pMMWxWTL+xsMheu3JS+HHV92nNlSPi9D0KXyWWra2AtwbvEHlJ4tSzxGQl76/ryrAtq07260mCyZxc9eYzc83rt3z6xqxJjzp0Z2vItKMGgRe3QAMiKOwqnZOr50CSHG0qVHX8ybvBTt6uV/f96/FwSM7rsZuqQhNMZYTBafdKRSKSpUqCB2GCQfbCmSuKDhfCVgh0ZLYVfpbbFDIlamMPfn2djI4O0UwRcOdW7+O5SerUSL19xZfNIhpj3xIOH0eKSF/Q77el9BXW2U2CERK/Ts/Xn5LfipSwhF7OG3EHOwExx8F0JVbTQtOPsSKOkQ0bDVolNCfuY17jW1p4gdDiEFri4td6gK147HEBc4mH9Y0sVehEPDxZDIFEaP0ZxZ/EQCYpqSgufzujiqqu/xVg4h5lKnx7nlVqhrTUXKjZWIPtAB+rQIscMyK5R0iNGlhP6CxHPTYOvdHw4Nl1AXBTErEqkMDvW/hJPfBmhjziJq1xvQxpwTOyyzQUmHGFVq2B+IPzkWyle6wKnZGv4HTIg5sqvYH24dAtjoJKL2tkRq2GaxQzILoiSdmJgY9OrVi0+x9fb2xqZNmwrcPyMjgy+XX77809kkxPyk3duFuMChUHj48RlAVBOHmDsb1wZw63wCNi71EXfsXSScn5FvcTgiYtIZO3YsFAoFv5mQVaocM2YMgoOD893/u+++40XGiPlKf3wEsUf785o4rG69RG4ndkiElAiZXRm4ttsHuyrDkXz5G8QGvMVX1yAmknRY+eStW7dizpw50Gg08PPzQ48ePbB+/fo89799+zY2bNiAadOmGTtUUkK00f8hNuBNflOdS5t/+GAsIZZEIlPCsfFPfDZb+oPdiN7bHLrEG2KHZZKMnnRCQkL4+lw5K2/6+Pjk29IZN24cL61sZ1fwJ+PIyEheqS7rsWLFihKPnRSdNu4Kov/tCqnCla8YLbUt+ooFhJgDNiFGXf19fp7rUx8handTpD/Me/q1pWLX3axrMLsmm8R9OklJSXBwyP1Jl63XlVcd8r///ht6vZ6P/wQEsAG7/LHut7xKoxLx6JLCEPNvF0gkNnBptxsy1Stih0RIqWMVSd06H0fs4d78/HdoMA+q18ZbxSzNkSNH8gfDEo9JtHRYl1pCQu7+Tvb62RKwrBtuypQp+OGHH4wcISkJ+pSHiDnQCYIuBS5td0FuX0XskAgxGrl9ZX4jqbJ8DyT8Nxnxx/8HQZ8udlgmwehJh3Wr6XQ6hIaGZm+7cOECatWqlWs/9n5YWBiaN28OT09P9O7dGw8fPuT/ZtuJ6TKkxyDm384wpD2CS5sdsHGuI3ZIhBid1EbDV0zX1JmB1FvrEL2/Lf8wZu2MnnTYNGmWQGbOnMlbM4GBgfD398egQYNy7Ve7dm2Eh4fj/Pnz/LFy5UqUKVOG/9vLy8vYYZNCMmiTEHOoO1+nyrnlX1C4NRY7JEJEI5FIYe8zE04t/oAu9hKi9jRBRtRpWDNRpkwvW7YMqamp8PDwwIABA7B8+XLe0jl69CjvfmPYZAPWqsl6uLi48BWj2b9ZYTZiegR9Gl8Qkc1Wc26+CcqybcQOiRCTYFehN1w7HYFEIkf0vtZIubUR1koiWEgtZzZoRRMJxCMYdIg9+jbSw/3h2HQNVJUHih0SISZHnxaJuCNvIyPiCNQ1P+LrDlrqqhz5XZNpGRxSbOwO7PgT7/GE49BwESUcQvIhs3WHS7s9vCxC8pUF/P41Q0YcrAklHVL8mjhnPkTqrQ3Q+HwOdfWxYodEiEmTSG3g2GgJHBsvQ/rDA4ja3Qy6eOupbExJhxRL0sXPkXL9R6hrTIKmNq0aQUhhqaq+B9f2+yFkxCJqT1Ok3d8Da0BJh7y0pCsLkXTpK9i9Ogz2Db61ipvfCClJCg8/uHY+DpmmEmIP9UBS8ALee2DJKOmQl5JyYzUSz06BbYU+cGy8nBIOIS9JrvGGa8fDsK3wFhLPfYK4wCEQdKmwVJR0SJGl3tmC+JNjoCzXEU7N1lrs7BtCjEUqV8Op+SZofL5AWthvfFq1PuU+LBElHVIkaQ/28hrxNm5N4NxiM9WHJ6SESCQS2NeZxm+q1iVc5xVJMyKPw9JQ0iGFlhFxDLGH+0LuWBMurVlNHJXYIRFicWy9usO10zFI5GpE72+HlJu/wpJQ0iGFwmrAxxzqCZnKiy/gKVU4iR0SIRbLxqkW3DoHQeHRHPHH30P8mQ/5DdiWgJIOeSF2D0HMQVYTxwmu7fZAZushdkiEWDyp0gUubXZC/dp4pFxbgph/u/HFdM0dJR1SIH3yXUQf7Mw6nHlxKpmaFlslxFgkUjkcfBfAsckvyIg4ygvDaePyLnhpLijpkHzpUx8j+kBnCNqEzJo4Dk+rvRJCjEf16lC4tj8AQZeE6D1+SAvfAXNFSYdwW7/2Qev69jiwfy9/zdaDYlUPDSn34NLaHzbOPmKHSIhVU7g3gVvnE/zDH1vNPfHS12Z5IyklHSvHyoSPGtYXOw9dw8IRqdi4aCBGDeuNu/90gS7+KpxbboHCo5nYYRJCAMjU5eHaIQC2Ffsj6cJMxB17FwZdMswJJR0rtn/fHnRpXRftym3H3MEGlHGSYO6AOLT13I53p5/AWeEjKMu1FztMQkgOErkdnJqtg339b5B2Zwui97bkY6/mgpKOFbdufvthEFaPCodfDUOu95vXkuDXSVJs2fQTRg/vx/cnhJjWjaSaWh/BubU/9Em3M28kjTgGc0BJxwr1e7MNb9189XYcNHZ5r5nGtrNWTxtPf74/IcT02L7SGW6dAiFROCP6QAekhP4CU0dJxwp5e3ujrJO+UPuWddajYsWKpR4TIeTlyB1fg1vnQCg92yD+5PuIPzUOgkELU0VJxwp17TUYAVcKt4RNQLCK708IMV1ShROcW/nzEtgpIT8h5mBnGNKiYIoo6VihNm3aIuiGY6H2Zfux/Qkhpk0ilcGhwTdwbPorMiJPIGp3E2hjL8LUUNKxQipVZisnJb3gOf4paQJkdh7Z+xNCTJ+q8rtw7XAIgiED0XuaI/XuXzAllHSsjCEjAXFH38Eb3g8QdLXgpBN4TYJ2nd4yWmyEkJKhcGuYeSOpcx3EHemPxAtfQBByz1IVCyUdK6KNu8yb3Gnhf6Pb2x8h4Lp7gfsHXHdDl+59jBYfIaTkyFRl+dI5dpUHI+nSHMQe6Q+DNglik4sdADGOlFsbkXDyfUhsHODSbh88PZojcukxDFuRObajT7nHn2Wq8tlfo1C5omrVqqLFTAgpHonMFo5NVsLGuS4Szk5B9N7mcG71F+SaShALJR0LJ+jTkHDmQz5/n9XmcPLbyD8BMdv3BGXvF70vc7KAa4eDosVKCCmdG0nVNSZA7lQLsUff4b0dzs1/h9KzFcRA3WsWTJcUxpfIYAlHXetj3sLJSjjPYsmGEg4hlktZth0vDMfqYcUc7ITk6z+KsmAoJR0LlXZvF6J2NYIu8Savue5Qfy6vzUEIsV5y+ypw7XgMynKdkXB6IuJPjoagz3jhqvMliZKOhREMeiSen4nYgJ6QqSvArctJXnOdEEIYqcIBzq22Ql37E6TeWI3oA+157az8Vp0v6fUXKelYEH1aBGL+7Yyky1/DrspwuHU8Crn9q2KHRQgxMRKJFA715vAxXm3MOT7Os3vL0jxXnWfrL3ZtU7fEWj3U32IhMiIC+SChISOGz1ZRvTpE7JAIISbOrmI/pErKYdJ7nSAxTMDqUZLnFgFuXtOA+pXCMXfRQGz5rTW+W7wK9vb2L/0zqaVj5thAYNLVRYje3w4SuQpunY5RwiGEFNq7wyehm68WXw+VGmXVeWrpmPnqAvEn3kPa3b+g9HoTTk1WQqoo3JpqhBCSveq88znW6QZjrDpPLR0zpY29hKjdbyAt3B/2DebBucVmSjiEEJNfdZ6SjhlKubkOUXuaQdAl8WUuNDUn8RvACCHE1FedFyXpxMTEoFevXlCr1bxpt2nTpjz3W7hwISpXrgwHBweUK1cOkyZNgk6ngzWvLhB3YjTij4+Awq0R3LqcgsLDT+ywCCFmTK1WQ2rrYbRV50VJOmPHjoVCocDjx4+xceNGjBkzBsHBwc/t16NHD5w9exYJCQm4fPkyLly4gB9++AHWSMfqoO9tgdQbq6CuNRUubfdAZucpdliEEAvQtkMvBF2VGGXV+UJNJIiIiMDevXv5RT8uLg5OTk7w8fFB+/bt4elZtAtfcnIytm7dypOIRqOBn58fTy7r16/HN998k2vfV199NdcsLalUihs3bsDapN3bibigYfzfzq3+hm35bmKHRAixIF169MW8yUvRrl50gavOfzKyT+kmnatXr2LGjBk4dOgQXn/9ddSoUYMnGXZ3KksSEydOROvWrfHFF1+gZs2ahfqBISEhkMvlqFatWvY2lsAOHz6c5/6s62306NH8Z7q5uWHBggWwFoJBh8QLs5AcPA9yl/p8kT65fWWxwyKEWJhq1aohUlvZKKvOF5h0hg4dio8//ph3gSmVyufeT09Px/bt2zFixAgcP368UD8wKSmJj9Hk5OjomO8yC++88w5/hIaGYt26dShTpkye+0VGRsLX1zf79ciRI/nDXLFlKeKODUTG4wCoqvwPDg0X8mXKCSGkpLGJSCWx6vyKFSv4I+uanOfPEoy8zOi5c+fQrFkzpKSkZG9jrZeAgADs2LGjwK/9/fffsXnzZvz11/PlV1nCOXPmDCxBRsSxJ6sLxMGx8Y9QVR4kdkiEEFIk+V2TX3oiQceOHbF///6XasaxGWis5ZKFjRXVqlXrhV/Lvu7mzZuw6NUFrix8srqABm6dAinhEEIsyksnnT///BNHjx7lkwCCgp42ywozPa93796YOXMmn1QQGBgIf39/DBr0/MV15cqVfBIDc+XKFXz99ddo27Z4c8RNlSEjHrFH+iHx7BTYevXk9c1tnOuIHRYhhJhG0mHjMmwCwerVq3l3F7vvprCWLVuG1NRUeHh4YMCAAVi+fDlv6bAkxma0ZWEJqU6dOjxRdenShT/mzp0LS6ONvcBXF0i/txP2r38Hp+a/8+XHCSHE0rz02mvs4n/9+nXcuXOHvy5f/ukshxdxcXHBtm3bntvevHlzPtEgy5o1a2DpUm6uRfypDyBVuPDVBRQezcQOiRBCTC/p1K5dG/369eMrBrD7Z0jRCLpUxJ+ZyIsoKTxbw8lvAy8jSwghluylswUby6lSpQolnJfASkhH7W3OE46m9jS4tNlNCYeIJiwsDD07N+fPbKps1nTZnNsJKSnFyhj37t3Drl27SiwYa5AWvh1RuxpDn3wXzq38YV/vC0ikMrHDIlaKJZTBfVtjcIMg/nz3UWqu7UMaHOfPlHiIUbvX2KA/W7bm4sWL/MGmOF+6dAmxsbF8QgFbGocUYnWB8zOQfGU+bFwawKnFH5BrileXgpDiyEos898Jh5e7FF5u4fhg3iNMHVoD86dnbZegvFs432/dn4eKXUuFkBe2dKpXr84TCxvkX7RoEV+kk01b1uv1OHHiBCWcQtCnPkLMgY484aiqjoRrx8OUcIjoJowZhIkdMhMLw54XjtBi+ebL2Qkna/uEDnf5/oSUekuHjdmwZWp+/PFH9O/fP9e0Z/rU82Lpj48g7ui7MGjj4dh0DVSVB4odEiHc4uXreQuGtWRyJpjV49kiJU9XHA6PFLB4XwWs+3O9iNESq2npsG612bNnY9y4cWjSpAm/l4YUcnWB4PmIOdABEhsHuHUOooRDTAr70Mi6zCZv8uKJJS9sO3ufutaI0ZKOTCbDBx98wEsKsDXTWDmD7t27Iy0trcSCsDRszbTYw32QeG4abL16wa3LCdg41RY7LEKewxLJ598sx+w/8l5M9vMtzpgz/1dKOMT4s9fYuM78+fP5cjRsxen4+Hi+IkHOhTsJoI05j6hdbyD9/i44+C6AU/NNkNrYix0WIc8x6JIRvP8zfDa+G2b3z/tD5Kw+sfhsUn/cvn3b6PERy1TkKdPsZtAtW7bgyJEjOHXqVKEW6rQWKTdWI2qPHwRDGlw7/Av1a+P5kuGEmBKDNol3/f73cyWMnDAXC/+XOZaTF7Z9waAoDOz+Gq4d+xGCQW/0eIkVJR1WGprVzMkLq/jJks6cOXOstoR0ztUF4o7/D/EnRkHh4Qe3LqehcG8idliE5JFsvkPktqq863fWRh0+6iXNlXDYGM7wHyS5xnjY+x/21GHSxHGI3FEbKaErIejzvi4QUqzZa48ePeKrDrCFNlu2bMmnT9vb2/OCa6wCKKv2+c8//2DIkCGwVrrEG4g90h+62IvQ1JkOTZ0ZdLMnMSkGbSJSri9D0tWFENKjoSzXkZ+ry/zK5pq9xhLNpFU2/D6dyZtis6dNZ81eW7F4KqTxvyL+5BgkXvwC6tcmQFX1PVqclhTJC4u4sepva9euxe7du/kNoey+HGdnZ9StW5cno8GDB8PV1RViE6OIW9rdbYg7PgKQyOHUbC1sX+lk1J9PSEEMGQlIvv4jkq8ugpARA2W5TtDU/QwKt8bP3SDK7sNhiWXxuLKo4GmHxGqr+HZ2H8+ifU9nr7HLRcajQ0gKnoeMRwchsXGEqvoYqF8bR0s5kUJdkwtVOfTBgwfIyMgw6Rksxkw6gkGLxHOfIfnq97Bx9eWlCOQab6P8bEIKU5sp+dpSJF9bDCEjFspXuvCWjcKtUZ77s8TDbvxk9+3k/BvPb3uWjOgzSA6ej7S7fwEyJVSvDoW65oeQayqV6u9HLDzpLF68GJMmTeID4uybsJLSrA6OtSYdfcoDxB17l5eUVlUbDYfX50MiU5b6zyWkMFP1k68tQfK1HyBkxEH5Sjdo6k6HwtW3VH+uLiGET0xIvb2BfSKDrXc/aGp9TEUIrZzvy5ar/u6773jtm/v37/NyBp999hmsVfqjw4ja1Qja6LNwarYOjo2WUMIhojOkxyLxwheI+LsKki5+AYVHC7h1PgmX1n+XesJh5A7V4NRkBTzeDOUzNtPv7UDUPw0Qc6gn/3BGSJFaOqxqJysrzbDxnIYNGyI0NBTW1NIRBAPvRki8MAMy+6pwbvEHbJxoqjgRlyE9hrdqWOtG0CZA6fUm7OtMh41LPfHjCvkJKdeWwJAeBRv3ptDUmsK7+egWAuuR3zVZXpgVCbI4OTnxlaWt7VNkXNBwpN/fybsNHN/4iW72JKIypEcj+epiJF9fCkGbCNsKvaGp8ylsnH1gCqRKF9jX+RSaGhORcnMNkq98j9iANyF3qsWTD/s7kkhfun4kMXMv7F5j5aM9PT350jfsnhw2oeDhw4ewJFu/9kHr+vY4sH9vru2sGy1qd2OkP9wLB9+FvLonJRwiFkNaFBLOfZbZjXb5ayjLdoBb1/8yW94mknBykshVUFcfC/ee1/hitxCAuMAhiPSvgeTryyDoaDUTa/TC7jXWpXb+/Hn+OHfuHH++evUqNBoNX42AjfMsX74c5ti9xu43mjx+ODLub8eEHnos3u0MZZnWmLdoJeSPNyP+9ERIbT3g3HwTFO5vlFrshLwo2bB7bNi9NoIuGbbefTJbNma2nh/rpmbLQyVd/hbaqBOQKt2hem0c1NVGQ6p0Fjs8YkpTpp/FWjts9emsJLRkyRKYW9LZv28Pvvh0DMZ3fAC/Gobs7UevSPHDTgXGd01B23Yd4dxsHaS2bqUUNSH506dF8q6plJDlvFXAZ4XVmWb244nskqONDETS5XlIf7AbEht7XmeKTUKQqcqJHR4xxaRjigqbdLJaN9rIAEzrGQuN3fMDm0mpAr7aYgvlK50xf/FqvgoDIcaiT4tAcvACpIT8xNfxy0w2n8LGsQYsjTb2Ap9unXZnM7/J2q7yIGhqfgS5Q1WxQyPFREnnic5tG2L4GxdztW7yw1o9a07Wxe6Dp0soSkIKrjCbfGUBkkN+ZrMFYFfxbWhqfwq5Y3VYOl3iLX6zdcqNX9kNR7Ct8BY0tSbDxvV1sUMjxp69Zmm8vb1R1ulcrsqI+SnrrDfpVRiIZdCnPOSlzJNDV/ALrl3FAbxlw+5/sRZy+8pwbLSUr13IpoCzLsW0u1ugKNsOmlpToSjTkqZbW2tpA3PXtddgBFxRFWrfgGAV35+Q0lrdIv70JET4V+NrpNl594V798twavarVSWcnGR2ZeBQ/0t49LoF+/pzoYu9hJgD7RG9pxlf65BNRiDmzeqSTps2bRF0w7FQ+7L92P6ElCR9yn0+MzJiWzX+id6uYn+497gMp6araSzjCanCkS+l49HrBhwa/cjvTYo90heRO+oi5eavEPQZYodIXpLVJR22wgKbBp2SXvBQVkqaAJmdB1SqwrWKCHkRffI9xJ8a/yTZ/Ay7Su/AvccVODVZCbl9FbHDM0kSmS3U1UbCvUcwnPw28tfxx99DhH91JF1dxGsEEfNidUmHaduhF4KuFtw/HHhNgnad3jJaTMRy6ZPDEX/qA36hTAn9hc/Qcu/Jks0KPpZBXoytYGBXsR8vkOjS5h/INZWR+N/HiPj7Vb7uHLuXiZgHq0w6XXr0RcD1gmsABVx3Q5fufYwWE7E8uqQ7iD/5fmayubEaqsqD4d7zKpze+ImW/39JbDKBslwHuHY4CNeOR3il3qRLc3jyiT/zIfTJd8UOkbyA1c1eY6pVq4ZIbWUMW5E5tqNPucefZary2fsoVK6oWpX610nR6ZLCkHz5W6TcWstfq14dBk3tqZCpK4gdmkVhJeFdWm2FNu4Kn/2Xcn05f9hVGgB1zcmwcaopdogkD1Z3nw4hpUWXdBtJl79B6s11rD8IqirD+QKXMrWX2KFZBdbKYeM8qaGrIOhToPTqCU3NybSElUjoPh1CSvHGRrYAZ+qtDWzkG6pqI6Gp+TFk6qctZ1L6WEvS0fd72Nf+NLNM9/UfER3uz+/xYclfUbY93etjAqxyTIeQkqBLvIG4oBGI3F4Tqbd/g6raKHi8eR2ODRdTwhERWyvR3mdW5r0+r3/H/59i/u2KqF0NkRq2GYJB/9zXsNLcPTs358/R+9ryx7PbScmgpENIEekSQhEXNAyR22sj9c5mqKq/D483Q+DYcBFkqlfEDo88IbXR8Jo+Hj1D4NjkFwj6NF5qPnJ7LSSHrOCvGZZQBvdtjcENgvjz3UepubYPaXCcP1PiMeOkExMTg169evF7ZtiyNJs2bcq3VDYrncAW3KxUqRJ/TUhJKsonXF389cx6MDtYstkKdfUPMi9ovt/T6sgmTCJTQPXqULh3uwCnFpt5GYWEU2MR8XdVBO/7FIP7tMT8d8LRtIaUP38w7xwCL8byRMNeN6kh4c+UeMw46YwdOxYKhQKPHz/Gxo0bMWbMGAQHBz+3H5vjsG7dOl6tdM+ePVi6dCl+//13MUImFqiwn3BvXDyI2GODEbmzLlLv/g31axPg8WYoHHznQ6YqK/avQQpJIpXBrkIvuHYKgku7fZA718bkT7/BxI734eWeOdbDnheO0GL55ss80eTcPqHDXUwYM0jk38L8GX32WnJyMpydnXk9HjZ1mRk0aBBeeeUVfPPNNwV+7fjx43kiyqt+D81eI0WRlViyLizhkQImrbLB1KE1MP+P2NzbfzFg0Wg1qvuNhbrmh5DZeogdPikhoed2YOjgAVg4PC07weSFnQeTN3lh3Z+HaBHgQsrvmmz0lk5ISAjkcnl2wmF8fHzybOnkxJLN0aNHebVSQoqLfWKd2CG8UJ9wP+wlwZxdteDQ4BtKOBamav3u2LjjMj7a4MkTS14o4ZQsoyedpKQkODg45Nrm6OjIi6sVZPbs2TAYDBg2bFie70dGRvLMmvVYsWJFicZNLMvi5euxaJ9XrgsNSzCrxwu5PvGy9xfvq4AffqJuXUvFEsmcBRvw+Za8S2bP/sMWn89dRAmnENh1N+sazK7JeTH6fToajQYJCQm5trHXBVXnZGM5bGyHtXSUSmWe+7i7u1P3Gik0dgFZu/kgBvfxw4KBEXl2rdAnXOvpap358TDMfyc2zzpbs/unYdKEXlj2+Zuo0fJD2Lg3o/t98jFy5Ej+YFjiMYmWDutW0+l0CA0Nzd524cKFfLvNVq9ezcd6Dh48iPLl6d4HUjyCPh1p9/cg/sQYqP5rgYmdHmPWxrxrtLBPvnPm/0oJx4rG9vLCu17fk+L9Wf44v7EVov6pj+Try2DIyP3hmRSO0ZMOmybdu3dvzJw5k08qCAwMhL+/P59M8Cw2s+3TTz/F/v37UbkyrcZLXo4hIx6pt39H7NF38PhPT8Qe6o7UsN/xyNAAi3a54vN38/4zmNUnFjMmD6VpslY0tpfVwh3+Q+YkkiyZY3vAnO2VWLEfJJyegIi/KiDuxGhoY1glYmLSU6aXLVuG1NRUeHh4YMCAAVi+fDlv6bDuM9b9luWzzz5DdHQ0GjZsyLezx+jRo8UImZhhVc7kkJ8RfbALHm8pi7jAQch4fBi2FfvDufUOpDY8gXHfXcKCwTEFfsKl+zOsa2wvaxbjmH61eddqzu1sbG/Jmv1w73KKT7u29e6L1NubELWrEaJ2N0XKzbUQdCki/0amjxb8JBZDF38NaeHbkXbPH9qoU3ybzL4KbL16wtarB2xcG/N7NRh24ye7D4fd+JeFXVhm/SbF5wMMuRJR0FUD1p1tCv/dR0X4rYixutjYfTgssWSN4WVtZy0hlpjyGtszpMci9fYGXidJF38VEoUTL2Ghqvoe5I6vwZr55nNNpqRDzJYgGHhySbu3nScbfcJ1vt3G1ZcnGmX5HpA71shz0Lco9+nQZALLx84H1tXGWj45/5/z2/4sdhnNiDjKK8Kmhf8NGLRQlGnFF3+1Ld+Tr4pgbXwp6RBLIOgzkP74ENLD/ZEWvgOGtEeARA6FZyvYlu8B2/LdC73YZnE+4RKSH33qY6Te/JW3fvTJdyC1LQO7KsOgqjICco31nEeUdIjZYrOE0h/s4a2Z9Ae7IWgTIJGroSzXiXebKct15utpifEJl5D8sNWs0x/uQ0rICqQ/2MWaQ1C+0hmqqqOgLNcxu6vXUlHSIWZFn/IQafd2IP3edqQ/+pd3V0iV7lB6defdFcqybSCR2YodJiGFLjCXErqKly1nrXOZ2huqqv+D3atDIbPzhCWipENMHlvFOXN8hk0EOMm3yTSvPp0I4PaGxX86JJZNMGh5iz0ldAUy2IcpiRy2FXpBVXUkLzZnSTedUuVQYpoTAaLP8CSTORHgGt9u49IAGp/PeaKRO9ayqD9EYt0kUhvYeb/FH+xDVsqNlXyqddqdPyFzqA511fdgV3nwS3cXmwNq6RCjTwRg98uwac18IkDqA17imX3KY0kmcyJABbHDJMRoBF0qUu9u4TPfeAtfZgs773585puNayOz/dBFLR0i7kSAh3szJwLc35U5EUCm4oOpSpZoXukCqdJF7DAJEYVEbgdV5UH8oY05z7ve2E2nqbfWQe5cD2o27briAF4J1RJQS4eUCn3qI6Tf25GZaPhEgAxIlW5Qlu+WeQ+NZ1v+x0YIyfuDWmrYJt760cVdhsTGHnaV3uVjPzbOdWAOqKVDSp0uIfTpigCRJ1jHAWSaSlBXf58nGhu3JjQRgJBCkCocoK42mk+v1kYd59OuU26sQUrIT7Bxbwp1tVGwrdDbLGdwirL2GjEN7F4UthzMs+uK5bc9z7uwo04j4fwMRO7wQeT2mkg89wkEfRo0dWfBretZuPe8DofXv4PCw48SDiFFxMZzFO5N4dTsV5TpHQb7BvNgSItAXOAQPP6rIhLOfgJd4g2YE+pes1LP3o2/eFxZVPC0Q2K1VQXejc8nAkQcyZxxdm8HDCn3MycCeDTPvFGTLT2j8Rb1dyPE0md9Zjw6xMd+2N8hBD0UZdtBzW46Ld8NEqlpdGBR9xrJZ90xKbzcwvHBvEeZ645Nf7oeWXm3zBWWf920A2UV15EWvg3p99mKAPGAzI5PBLCtN+fJRABXsX8tQqyCRCKFsmxb/mCrqbMbTlNurELskb6Q2pXjy+2oqgwv9HJQxkYtHStU1BWWV+4FVk+UQqJ0he0rXWHr9SY/4SVylUi/ASEkJ8Gg4zNDWesn/cE+dkMQb/Wo2U2nZdvxRGUq12Qa07FCz9YQYViiWT1eeK6Y1ffbpJg3cxhc2h9EmbfuwanpKth6daeEQ4gJkUjlvHvbpc1OuPe8BnXND6GNCELMv10R6V8DScHzoU+LLNUx3sKipGOF2BgNG6vJWaTqWWz7RxvKYMPOENTpsRLKMi1Mpq+YEJI/uX1lONSfC4/et+HUbD1kqleQeG4aIv6qiNhjg5ARcYxPAsqry31wgyD+fG5dU0Tva5u9nfWMlFQxQ0o6Vsrb2xuffTIOszblfQp8vsUZX36/CZUqVTJ6bISQ4pPIlLCr9DZcO/wLt27neWE51gUXva81ov6pj+Try3gp95xjvE1rSPnzB/POIfBibPZ21hVfUlV0aUzHCmVEBCJ47xR88PVxLHxPmme5ZipeRojlMeiSkRb2R+aSOzFneYmQEUvtMKJlZIlX0aUxHQJt9H+I+bc7zm9siQ++OZlvwmHY9pL6ZEMIMQ1SuZrPbHPrchKunY/D1rsvZvVLxIK/DYUa4+W3VyxfX7wYivXVxCxo4y4j5nBfRO1+AxlRp/DFtgr46M3MEyvnCTX8h8zyzFnY++w+HlbMjBBiWRSuvnBq8gt8R9/DL0tmYtIqWYFjvCXV80FJx8KXpWEDh1E7G/DaHWyVAI83Q7F07b+5Zq+x50mrbDCmX+1ckwtK6pMNIcR0SRVOqNl2Nr5csgezN9vnO8Y7Z/6vJdLVTtORLJAu6Q6SLn3FV6mVSJVQ1/oYmpofZt/AWbGiA//EknNFgo07Mz/B1O0TVuCKBIQQyxMWFoZZU4Zj/juJbKj/ufdn9YnF5MlDqaVDni/xHH9qPCK310Dq7Y1QVX8f7m9eh0P9r55bMSBr2jQbFMx5ImVtX3u2CSUcQqxuhRJJqY/x0uw1C2BIi0JS8HdIDlnGpqdAVWUYNLWnQab2Ejs0QoiFrVCyjmavWS9DRhwSz89CxLaqSL62CHbefeDe4zIcGy+jhEMIeakVSkp7jJfGdMyQQZuElOtLkXRlAYSMONhW6AONz0zYONYQOzRCiJmp+KRL3VhjvNTSMbNa6klXFyFyWzUknp8BhXszuHU5DecWv1HCIYS8NGOO8VJLxwywGjYpN9cg6fLXvH6NwrMt7H1mQ+H+htihEUIsRMWKFfMcq8lv+8uipGPiy5WzWWhJF7+EPjmMl6l1aroWSs+WYodGCCEvhZKOiVYGTLuzBYkXv4A+4TpsXBrAofFSKMt24OVrCSHEXFHSMSFs9nr6vZ1IvDALurhLkDvWgnOLP6H06knJhhBiESjpmEiyyXh0EInnZ0IbfRoy+6q8DgZbjE8ilYkdHiGElBhKOiJjBZVYssmIOAqZugIc31gBu8qDqGAaIcQi0ZVNJBlRp3k3WsbD/ZDaesKh4WKoqozghZcIIcRSiXKfTkxMDHr16gW1Ws0rWG7atCnP/Q4dOoTWrVvD0dHRYtYA08ZeREzAW4je05QXUbJv8C083rwOdfX3KeEQQiyeKC2dsWPHQqFQ4PHjxzh//jy6du0KHx8f1KpVK9d+LCkNHz4cAwYMwNy5c2HOdPHXkXhxDtLubIbExgEan8+hfm0cpDZ5LyVOCCGWyOhJJzk5GVu3bsXly5eh0Wjg5+eHHj16YP369fjmm29y7duoUSP+OHDgAMyVLikMSZe+ROqt9ZDI7KCuPRWaGpMgVbqIHRohhFh+0gkJCYFcLke1atWyt7FWzuHDh2FJ9Cn3+QoCKTdW815M9WvjeV0bma2H2KERQoj1JJ2kpCQ4ODjk2sbGbBITWfGglxcZGcmX0s4ycuRI/jA2fVoEknmZgZ8yywxUHZFZZkD1itFjIYQQY1qxYgV/ZF2TTSLpsC61hISEXNvYa3v74o1tuLu7i1pPx5Aei6Sr3yPl2hII+lTYVRoITd3PINdUEi0mQggxppwf9nM2AkRNOqxbTafTITQ0FFWrVuXbLly48NwkAnNh0CYi+doSJF/5HoI2Hrbe/WFfdwbkjtXFDo0QQkyO0ZMOm5HWu3dvzJw5EytXruSz1/z9/REUFPTcvgaDARkZGdBqtfyu/bS0NEilUj7zzRTKDLAutOTgeTCkR0FZvgfsfWbBxrmu2KERQojJEuU+nWXLliE1NRUeHh58OvTy5ct5S+fo0aO8+y3LkSNHYGdnhy5duuDu3bv83x06dICYBH06kq8vQ4R/dSSenQK5S324dgqES6utlHAIIeQFJAJrQliA/Opx5ycsLAwTxgzipVdz3nia33ZeZuDWeiRd+gr65DtQePhB4/MFlGWal/jvQgghlnpNtsrKoSyxsBKsgxsE8Wf2Ouf2IQ2OZ29nZQZSb/+OyB11EX9iJKS27nBpswsu7f+lhEMIIUVkdWuvZSWW+e+Ew8tdCi+3cP56zvxfMWPy0CfbJSjvFo5BvRpj0QeuKKcMhdypDpxb/gVl+W5UZoAQQl6S1SUd1nU2sUNmYmHYM0s0sz5uj/nvGHJtn9glCjNWJGHrHxth690HEolVNgwJIaTEWF3SYWM1rGXDWjI5E8zq8Wxo62kLJjxSwKJdLli39TjsKlYRMWJCCLEcVvfRnU0OWPfnIUze5MUTS17Y9smbymP936dRqTIlHEIIKSlWl3SyEs8X363B51uc83yfbZ8zf63FlFMghBBTYZVJh00mmPnxMMzqE5vn+2w7m1SQNauNEEJIyZBa9+y1vGehZU0uyDmdmhBCSPFJrX32WtYYzvAfJLnGeNj7Ezrc5fsTQggpGVJrnL22aN/TSQSZkwa88Ml3+3NNLmDPi/dV4PsTQggpGVY9ey3oqoE/s9ctW7bM3n78amYiYq9pMgEhhJQcq0s6ORPPurNNcyWWrO1rzzahhEMIIaXA6m4OzcISiv/uo4XeTgghpPissqVDCCFEHJR0CCGEGA0lHUIIIUZDSYcQQojRUNIhhBBiNJR0CCGEGA0lHUIIIUZDSYcQQojRUNIhhBBiNJR0CCGEGA0lHUIIIUZDSYcQQojRUNIhhBBiNJR0CCGEGA0lHUIIIUZDSYcQQojRUNIhhBBiNJR0CCGEGA0lHUIIIUYjh5V7u3d7xEXdzX7t5FYBv/+1H9aEjgEdA4aOAR0DYxwDq0867OCuGXkr+/WwFbA6dAzoGDB0DOgYGOMYiNK9FhMTg169ekGtVsPb2xubNm3Kcz9BEDB16lS4urryB/s320YIIcQ8idLSGTt2LBQKBR4/fozz58+ja9eu8PHxQa1atXLtt2LFCmzbtg0XLlyARCJB+/btUalSJYwePVqMsAkhhJhb0klOTsbWrVtx+fJlaDQa+Pn5oUePHli/fj2++eabXPuuXbsWH330EcqXL89fs3//8ssvxUo6z/ZXauTxud5nrzu1qG7Rfbp0DOgYMHQM6BiIcQyMnnRCQkIgl8tRrVq17G2slXP48OHn9g0ODubv5dyPbSvJ/spnLRkeDYA9Mg1edA/R+9rCkkTfPYF1EzPyfZ+OAR0Dho4BHYO8jkFxx3iMnnSSkpLg4OCQa5ujoyMSExPz3Je9l3M/to2N67DutpwiIyPh6+ub/XrkyJH8QQghxDjYkAh7ZF2TTSLpsC61hISEXNvYa3t7+xfuy/7Ntj2bcBh3d3ecOXOmxOOVqcrDtcNBWBLZl6ypfKvw+9MxoGNAxyBzfzoGBcr5YT9nI0DUpMO61XQ6HUJDQ1G1alW+jU0UeHYSAcO2sfcaNWpU4H5FwfojczYPWX9lZvMx07jVrkjSOeba39LQMaBjwNAxoGMgxjEwetJh06R79+6NmTNnYuXKlXz2mr+/P4KCgp7bd/Dgwfj+++/RpUsX3rpZsGABxo0bV6yf/+wAWOYA2dMDzA7uniPXYcnoGNAxYOgY0DEQ4xiIcp/OsmXLkJqaCg8PDwwYMADLly/nLZijR4/y7rMso0aNQvfu3VGnTh3Url2bT61m2wghhJgnUe7TcXFx4fffPKt58+Z8okAW1rqZN28efxBCCDF/Vr8MzrP9mZbYZ/sidAzoGDB0DOgYGOMYSAQLWVeGzZQojdlrhBBCSu6aTKUNCCGEGA0lnSeybmgyVaYeH0MxWn585hCjqcdn7TFS0jGTk8DU42MoRsuPzxxiNPX4rD1GSjqEEEKMxmImEri5uaFixYov/fVsnSC2lI6pMvX4GIrR8uMzhxhNPT5riTEsLAxRUVGWm3QIIYSYPupeI4QQYjSUdAghhBgNJR1CCCFGY7FJZ+nSpfyOWKVSiaFDhxa478KFC+Hp6cmLyw0fPhzp6em5BsNat24NlUqF1157DQcOHDB6jKxs9+uvv87jY6W7p0yZwstDZGnVqhVsbW35YqnsUb16daPG9+uvv0Imk2X/fPYICAgwqWPISpznjI/tn7OGU2kdQ3YujRgxAt7e3vzn1atXD7t37zaZc7Eo8Yl1HhYlRrHOxaLEOFqkc3HgwIEoW7Ys//9jJWbYKv+inIeChdq6davw999/C6NHjxaGDBmS73579uwRPDw8hMuXLwsxMTFCy5YthalTp2a//8YbbwiTJk0SUlJShC1btgiOjo5CRESEUWNctmyZcOTIESE9PV24d++e0KBBA+Hrr7/Ofp/F/Msvv5RITC8T35o1a4RmzZrl+74pHMNnsX2HDRtW6scwKSlJmDVrlnD79m1Br9cLO3bsEDQaDX9tCudiUeIT6zwsSoxinYtFiVGsc5GdV2lpafzfV69eFcqUKSOcOXPG6OehxSadLNOnTy/wYjRgwABh2rRp2a8PHDjA/zOY69evCwqFQkhISMh+38/PT1i+fLlRY3zWggULhG7dupX6SVrY+Ar6QzfFY8guEOyCEBAQYLRjmFOdOnX4H6spnosFxSf2eViYGE3hXHxRjKZwLl67dk3w9PQU/vjjD6OfhxbbvVZYwcHB8PHxyX7N/v348WNER0fz9ypXrpyr6cveZ9vFdOTIkecqqE6bNo3fq9SsWbNc3QnGcu7cOf7zWbN9zpw52d0upngMt27dyu8/aNGihdGPITu3QkJC8qyAawrnYkHxmcp5+KIYTeFcLOxx3Grkc/H999/P7hZjXW2sQKaxz0OrTzqsfo+j49NSrFn/TkxMfO69rPfZe2JZvXo1X7l18uTJ2du+/fZb3Lp1C/fv3+f1yVnhu5s3bxotJvYHc/nyZURERPA/ot9++w3fffcdf88UjyEbm2BVaVm9JmMeQ61Wi3fffRdDhgzhf/Smdi6+KD5TOA9fFKMpnItFOY5rjXwusgKa7PdlBTNZBWc2nmTs89Dqkw4bqEtISMh+nfVvlsmffS/r/ZxZ3phY4Tv2CYgNULJPQVkaN27MY2InEDvR2aejXbt2GS0u9smnUqVKkEqlvMorK0W+ZcsW/p6pHcO7d+/yT47sDz2n0j6GBoMBgwYNgkKh4JMfTO1cLEx8Yp+HhYlR7HOxKMfxrkjnIpto4efnh3v37vGqzcY+D60+6bDm74ULF7Jfs3+XKVMGrq6u/D32iSNnFmfvF6broaTt2bMH7733Hnbs2MH/mArCPjWJudBEzp9vSseQWb9+Pf8jZhcnYx1D9n3YzCbWRcE+fdvY2JjUuVjY+MQ8D4sSo1jnYlFjXC/CuZgT63bMqwVV6uehYKG0Wq2QmpoqfPLJJ8LAgQP5v9m2Z+3evZsPkgUHBwuxsbFC69atc83UaNy4sfDRRx/xr//rr79KdOZVYWM8ePCg4OLiIhw+fPi591jMbLZJ1tdu2LBBUKlUfMDPWPHt2rVLePToUfasmFq1agmzZ882qWOYpVq1asKqVauMdgyZUaNG8WOQmJhY4H5inYuFjU+s87AoMYp5LhY2RjHOxcePHwu//fYbj02n0/Gfwb6vv7+/0c9Di006bPoiy6k5H2zbnTt3BLVazZ9zzsJhUwTt7e2FoUOHZk8rZNiURzabxNbWlp8k+/fvN3qMrVq1EmQyGd+W9ejUqRN/j/1n+/r68hkw7D+fnRD79u0zanzsBGTHj53ElSpVEmbMmCFkZGSY1DFkgoKCeIw5Z96U9jEMCwvjMSmVylz/f+xiYgrnYlHiE+s8LEqMYp2LRf1/DjLyuci+b4sWLfj3ZOdW7dq1hRUrVvD3jH0e0oKfhBBCjMbqx3QIIYQYDyUdQgghRkNJhxBCiNFQ0iGEEGI0lHQIIYQYDSUdQgghRkNJhxBCiNFQ0iFERF5eXjh79qzYYRBiNHRzKCEiiY2N5QtmspV77ezsxA6HEKOglg4hIrl06RIqVqxICYdYFUo6hIjk4sWLqFKlCsaPH88LeZUrVw779+8XOyxCShUlHUJEbOmwQmhdu3bly+GPGjWKF/AixJJR0iFExJbO9OnT0bFjR150rGbNmtnv9evXj9daadWqFX9cu3ZN1FgJKSnyEvtOhJBCY/N3WFnldevWZW9jr7MST0hICG8FyeX0J0osC7V0CBHB7du3+TMb08ly7tw51KtXDxkZGbzsMSUcYoko6RAiUtcaK/fMShHnTDo+Pj68K+3hw4fZXWsLFiwQNVZCShJ9lCJEpEkELMFkiYqKwqNHj1C7dm1s3boVH3zwAWbNmiVqjISUBko6hIhgxowZuV6zm0S1Wm322E7Dhg1FioyQ0kUrEhBiYnr06IH79+/D3t6ev/7xxx9Rq1YtscMipERQ0iGEEGI0NJGAEEKI0VDSIYQQYjSUdAghhBgNJR1CCCFGQ0mHEEKI0VDSIYQQYjSUdAghhBgNJR1CCCFGQ0mHEEIIjOX/FkOuDwwffEEAAAAASUVORK5CYII=", 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" ] @@ -1859,7 +1764,7 @@ "for coupling in coupling_list:\n", " res = [np.mean(occupations_resonance[(coupling,he,10)],axis=0)[5] for he in he_list]\n", " sdom = [np.std(occupations_resonance[(coupling,he,10)],axis=0)[5]/np.sqrt(np.shape(occupations_resonance[(coupling,he,10)])[0]) for he in he_list]\n", - " ax.errorbar(x = he_list, y = res, yerr = sdom, markersize = 12, color = '#e6a304ff',marker = marker_dict[coupling], label = f\"$\\lambda = {coupling}$\")\n", + " ax.errorbar(x = he_list, y = res, yerr = sdom, markersize = 12, color = settings.BREAKING_TOP,marker = marker_dict[coupling], label = f\"$\\lambda = {coupling}$\")\n", "\n", "ax.set_xlabel(r'$h_E$')\n", "ax.set_ylabel(r'$P(A_v)$')\n", diff --git a/recirq/lattice_gauge/lattice_gauge_experiment.py b/recirq/lattice_gauge/lattice_gauge_experiment.py index 7a09cbfc..9e40b1f3 100644 --- a/recirq/lattice_gauge/lattice_gauge_experiment.py +++ b/recirq/lattice_gauge/lattice_gauge_experiment.py @@ -846,4 +846,28 @@ def get_ancilla_patch( color = ancilla_cmap(data[qubit_index]) - return mpatches.Circle(coordinates, radius=0.146, facecolor=color, **kwargs) \ No newline at end of file + return mpatches.Circle(coordinates, radius=0.146, facecolor=color, **kwargs) + +def mean_field_energy(theta, Lx=5, Ly=5, Je=1., Jm=1., he=0.0): + energy = - Je * Lx * Ly\ + - Jm * (Lx-1) * (Ly-1) * np.sin(theta)\ + - he * (2 * (Lx-1) + 2 * (Ly-1)) * np.cos(theta)\ + - he * (2 * Lx * Ly - 3 * Lx - 3 * Ly + 4) * np.cos(theta)**2 + return energy + +def bitstring_to_expectation_value( + bitstrings:np.ndarray +)->np.ndarray: + return -2 * bitstrings + 1 + +def energy_from_measurements( + grid:LGTGrid, + hamiltonian_coefs:dict, + z_basis_results:np.ndarray, + x_basis_results:np.ndarray +) -> float: + return (-hamiltonian_coefs['Je'] * np.sum(np.mean(bitstring_to_expectation_value(plaquette_bitstrings(z_basis_results,grid)),axis=0)) + -hamiltonian_coefs['Jm'] * np.sum(np.mean(bitstring_to_expectation_value(x_plaquette_bitstrings(x_basis_results,grid)),axis=0)) + -hamiltonian_coefs['he'] * np.sum(np.mean(bitstring_to_expectation_value(z_basis_results),axis=0)) + -hamiltonian_coefs['lambda'] * np.sum(np.mean(bitstring_to_expectation_value(x_basis_results),axis=0)) + ) \ No newline at end of file diff --git a/recirq/lattice_gauge/settings.py b/recirq/lattice_gauge/settings.py new file mode 100644 index 00000000..7f9b7b8f --- /dev/null +++ b/recirq/lattice_gauge/settings.py @@ -0,0 +1,69 @@ +import matplotlib +from matplotlib.colors import LinearSegmentedColormap +import matplotlib.pyplot as plt +import numpy as np + +#Notebook Parameters + +reps = 1_000 + +number_of_gauge_qubits = 17 + +plt.rcParams['figure.dpi'] = 72 +plt.rcParams['font.size'] = 12 +plt.rcParams['lines.markersize'] = 8 +plt.rcParams['lines.markeredgecolor'] = 'k' +plt.rcParams['lines.markeredgewidth'] = 0.7 +plt.rcParams['xtick.direction'] = 'in' +plt.rcParams['ytick.direction'] = 'in' +plt.rcParams['xtick.bottom'] = True +plt.rcParams['xtick.top'] = True +plt.rcParams['ytick.left'] = True +plt.rcParams['ytick.right'] = True +plt.rcParams['xtick.labelbottom'] = True +plt.rcParams['ytick.labelleft'] = True + +WALA_INITIAL = np.array([0, 0.35746251, 0.14352941, 1]) +TORIC_INITIAL = 'steelblue' +POLARIZED_INITIAL = "#fbbc04" +BREAKING_BOTTOM = '#67cd85ff' +BREAKING_TOP = '#e6a304ff' +BREAKING_VAC = 'k' + +cmap1 = LinearSegmentedColormap.from_list("1", ['darkred', 'salmon'],gamma=1.0) +cmap2 = LinearSegmentedColormap.from_list("2", ['salmon','lightgrey'],gamma=1.0) +cmap3 = LinearSegmentedColormap.from_list("3", ['lightgrey','lightsteelblue'],gamma=1.0) +cmap4 = LinearSegmentedColormap.from_list("4", ['lightsteelblue','steelblue'],gamma=1.0) +color_list = [cmap1(i) for i in np.arange(0,1,1/375)]+ [cmap2(i) for i in np.arange(0,1,1/250)] + [cmap3(i) for i in np.arange(0,1,1/30)] + [cmap4(i) for i in np.arange(0,1,1/95)] +charge_cmap = LinearSegmentedColormap.from_list("Charge", color_list,gamma=1) +charge_cmap_r = LinearSegmentedColormap.from_list("Charge_r", color_list[::-1],gamma=1) + +he_list = [0,0.3,0.6,0.8,2.0] +blues_cmap = matplotlib.colors.LinearSegmentedColormap.from_list( + "Blues", [(0.0,'k'),(0.5,'steelblue'), (1.0,(0.9*0.6901960784313725, 0.9*0.7686274509803922, 1.0*0.8705882352941177, 1.0))] +) +blues_cmap_r = matplotlib.colors.LinearSegmentedColormap.from_list( + "Blues_r", [(1.0,'k'),(0.5,'steelblue'), (0.0,(0.9*0.6901960784313725, 0.9*0.7686274509803922, 1.0*0.8705882352941177, 1.0))][::-1] +) +blues_color_list = [blues_cmap(i) for i in np.arange(1,-0.01,-1/(max(len(he_list)-1,1)))] + +colors_greens1 = ['white', '#009468ff'] +colors_greens2 = ["#bdc1c6",'#009468ff'] +colors_greens3 = ['#009468ff','black'] +cmap_greens1 = LinearSegmentedColormap.from_list("1", colors_greens1,gamma=3.5) +cmap_greens2 = LinearSegmentedColormap.from_list("mycmap", colors_greens3,gamma=0.8) +color_list = ([cmap_greens1(i) for i in np.arange(0,1,1/10240)] + [cmap_greens2(i) for i in np.arange(0,1,1/12500)]) +cmap_green = LinearSegmentedColormap.from_list("mycmap", color_list,gamma=1) +cmap_green_r = LinearSegmentedColormap.from_list("mycmap", color_list[::-1],gamma=1) + +colors = ['darkred', 'salmon'] +cmap1 = LinearSegmentedColormap.from_list("mycmap", colors,gamma=4.0) +colors = ['salmon','lightgrey'] +cmap2 = LinearSegmentedColormap.from_list("mycmap", colors,gamma=1.0) +colors = ['lightgrey','lightsteelblue'] +cmap3 = LinearSegmentedColormap.from_list("mycmap", colors,gamma=1.0) +colors = ['lightsteelblue','steelblue'] +cmap4 = LinearSegmentedColormap.from_list("mycmap", colors,gamma=0.5) +color_list = [cmap1(i) for i in np.arange(0,1,1/1500)]+ [cmap2(i) for i in np.arange(0,1,1/300)] + [cmap3(i) for i in np.arange(0,1,1/300)] + [cmap4(i) for i in np.arange(0,1,1/1500)] +diff_cmap = LinearSegmentedColormap.from_list("mycmap", color_list,gamma=1) +diff_cmap_r = LinearSegmentedColormap.from_list("mycmap", color_list[::-1],gamma=1) \ No newline at end of file