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Description:
UnionFindPy 0.2.1
Introduction
C++ implementation of the Union-Find decoder
arXiv:1709:06218. Python
interface is also implemented using
pybind11.
Based on a Python implementation by Kai Meinerz.
Under the LGPL lisence.
This repository includes codes for
arXiv:2101.07285 which explores a
machine learning assisted preprocessing combined with conventional
decoders such as minimum-weight perfect matching (MWPM) and the
Union-Find decoder.
Installation
Currently, you can install this project by cloning the source code tree and compiling it.
To clone the source tree, use git clone as
git clone https://github.com/chaeyeunpark/UnionFind.git && cd UnionFind
git submodule update --init --recursive
Then you can compile the code using
pip install -r requirements.txt
python3 setup.py install
Note that a compiler with some C++20 supports (e.g. GCC version => 10 or Clang++ version => 12) is required. For example, if you are using Ubuntu
apt install -y g++-10
CXX=g++-10 python3 setup.py install
will work.
PyPI support will be available soon.
Basic Usage
from UnionFindPy import Decoder
decoder = Decoder(parity_matrix)
decoder.decode(syndromes) # syndromes is a list of measurment outcomes of each parity operator
For details, check the document and examples directory.
Notes
This repository does not contain an implementation of weighted
Union-Find decoder.
Reference
When you cite this repository, please use the following:
@misc{UnionFindCPP,
author = {Chae-Yeun Park and Kai Meinerz},
title = {Open-source C++ implementation of the Union-Find decoder},
year = {2020},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/chaeyeunpark/UnionFind}}
}
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Files:
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