Tensor_Network_Codes

$\blacksquare$ Employed Tensor network framework for design and analysis of Stabilizer Quantum error correcting codes

$\blacksquare$ Constructed 11-Qubit stabilizer code via tensor contraction of the three 5-Qubit stabilizer codes

$\blacksquare$ Evaluated code distance and maximum likelihood decoding for the 11-Qubit code via the tensor technique

$\blacksquare$ Examined the impact on successful error correction capability of a tensor network if doped suitably

We used the scripts in this Julia module to generate the stabilizer codes:

https://github.com/ITensor/ITensors.jl.git

Main References:

$\star$ Local Tesor Network Codes (Terry Farrelly et al. 2022 New J. Phys. 24 043015)

$\star$ Tensor Network Codes (Phys. Rev. Lett. 127, 040507 – Published 23 July 2021)

Team Members

Manish Kumar, Q.Tech, IISc Bengaluru

Harsh Ojha, Q.Tech, IISc Bengaluru