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