Extensible, Efficient Quantum Algorithm Design for Humans.
Yao Extensible, Efficient Quantum Algorithm Design for Humans.
Yao is an open source framework that aims to empower quantum information research with software tools. It is designed with following in mind:
We are in an early-release beta. Expect some adventures and rough edges.
A 3 line Quantum Fourier Transformation with Quantum Blocks:
A(i, j) = control(i, j=>shift(2π/(1<<(i-j+1))))
B(n, k) = chain(n, j==k ? put(k=>H) : A(j, k) for j in k:n)
qft(n) = chain(B(n, k) for k in 1:n)
Yao is a Julia Language package. To install Yao, please open Julia's interactive session (known as REPL) and press ] key in the REPL to use the package mode, then type the following command
For stable release
pkg> add Yao
For current master
pkg> add Yao#master
If you have problem to install the package, please file us an issue.
For CUDA support, see CuYao.jl.
For tensor network based simulations, see YaoToEinsum.jl.
Some quantum algorithms are implemented with Yao in QuAlgorithmZoo.
We are running a monthly community call, please sign up in Julia slack channel
by DM Roger-luo
your email address. Or follow our twitter.
If you have anything interesting to share up to 40min, or just want to talk about your experience in a brief 10min, let us know! Please sign up with a topic using this Google sheet.
#yao-dev
channel.This project is an effort of QuantumBFS, an open source organization for quantum science. Yao is currently maintained by Xiu-Zhe (Roger) Luo and Jin-Guo Liu with contributions from open source community. All the contributors are listed in the contributors.
If you use Yao in teaching and research, please cite our work:
@article{YaoFramework2019,
title={Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design},
author={Xiu-Zhe Luo and Jin-Guo Liu and Pan Zhang and Lei Wang},
journal={arXiv preprint arXiv:1912.10877},
year={2019}
}
Yao is released under the Apache 2 license.