Clifford circuits, graph states, and other quantum Stabilizer formalism tools.
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Updated
Aug 18, 2024 - Julia
Clifford circuits, graph states, and other quantum Stabilizer formalism tools.
An intuitive programming package for simulating and analyzing Clifford circuits, quantum measurement, and stabilizer states with applications to many-body localization, classical shadows, quantum chemistry and error correction code.
MATLAB codes for the 2018 arXiv paper discussing synthesis of logical Clifford operators for stabilizer codes.
Quantum error correction code AI-discovery with Jax
Implementation of stabilizer codes in pyQuil
This is a simulation of optimal decoder for Kitaev's Toric Codes, written in C++. The optimal toric decoder has a theoretical threshold of 11%. Through this simulation, I have successfully verified the threshold of 11%. This was done as a part of my MTech thesis at IIT Madras.
A Julia interface to popular python packages for decoding quantum error correcting codes.
As a part of Quantum error correction review project, we explored tensor network codes (TNC). TNC has diverse nad promising use in quantum error correcting codes. It is powerful tools to design larger stabilizer codes, estimating code distance and maximum likelihood decoding.
Repository for the paper "On The Design of Non-CSS Quantum Error Correction Codes with High Quantum Information".
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