Adding ReCirq for Lattice Gauge Theory paper accepted to Nature #383
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@dstrain115 I don't have write access to this repo, so maybe you could take a look when you get a chance? |
recirq/lgt_strings/lgt_experiment.py
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| from collections.abc import Iterator, Sequence | |||
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Please add copyright and apache declaration. See elsewhere in Recirq for an example.
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| import cirq | |||
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Please add copyright and apache declaration.
recirq/lgt_strings/lgt_experiment.py
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| 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 |
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Optional: It might be better to have this as an enum rather than a string, but it's not strictly necessary if that's a large change.
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done. in new commit I introduce class QubitNeighbor(Enum)
recirq/lgt_strings/lgt_experiment.py
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| the qubits in a_set. | ||
| qubit2_relationship: ... same but the second qubit in each pair. | ||
| """ | ||
| if qubit1_relationship == "a": |
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I wonder if it would be better to have a dictionary with some representation that represents the displacement rather than painfully have hundreds of lines of if/then. For instance displacement["a"]["u"] = (0, -1/2) represents no displacement in column but -1/2 displacement in row_vector.
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good suggestion. fixed in new commit
recirq/lgt_strings/lgt_experiment.py
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| 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. |
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This description could be improved. I am not sure what this function does from this sentence.
recirq/lgt_strings/lgt_experiment.py
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| 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. |
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Same here. This is the exact same description as the previous function. What's the difference?
recirq/lgt_strings/lgt_experiment.py
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| 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. |
recirq/lgt_strings/lgt_experiment.py
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| def excitation_sep_plaquette_input( | ||
| plaq_data: np.ndarray, plaq_rows: int = 3, plaq_cols: int = 2 | ||
| ) -> np.ndarray: |
recirq/lgt_strings/lgt_experiment.py
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| import numpy as np | ||
| import sympy | ||
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| class LGTGrid: |
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This is a pretty long file. Should we move LGTGrid into its own file?
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@dstrain115 Should we assign this PR to you? |
Done |
In this Recirq Tutorial, I have outlined cirq simulations of the experiments that I conducted as a hardware resident at Google quantum AI. These results are outlined in the arXiv posting https://arxiv.org/abs/2409.17142.