Quantum Channel Decoder

This repository contains the code for the experiments related to our paper: "Quantum Channel Decoding" as submitted to the QEC-22 conference

Create and initialize a virtual environment

Make sure you have python 3.8 or later installed. Then run the following commands in a terminal window:

python3 -m venv ve
source ve/bin/activate
pip install --upgrade pip numpy pyyaml matplotlib scipy notebook qiskit pylatexenc
pip install amazon-braket-sdk  # Install this if you want to run the Braket examples on your local device

Running the notebook experiments

In a terminal window, go to the directory containing this code and run:

jupyter notebook

or if running on a remote server:

jupyter notebook --ip <IP_ADDRESS>

To see how the Quantum Channel Decoder works, open Quantum Polar Decoding or Quantum Hamming Decoding notebooks.

We have saved some of our experiment results in yml files in the ExpFiles folders for both Hamming Code and Polar Code. To see these results or to run your own experiments to obtain the frame error rates, use the notebooks Quantum Polar Experiments or Quantum Hamming Experiments.

The Braket folder contains the notebooks for Quantum Polar Decoding and Quantum Hamming Decoding written for Amazon Braket. You can use these to run the decoders on real quantum computers or managed simulators.