QuantumBFS / Yao.jl
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Extensible, Efficient Quantum Algorithm Design for Humans.
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Yao Extensible, Efficient Quantum Algorithm Design for Humans.
Introduction
Yao is an open source framework that aims to empower quantum information research with software tools. It is designed with following in mind:
- quantum algorithm design;
- quantum software 2.0;
- quantum computation education.
We are in an early-release beta. Expect some adventures and rough edges.
Try your first Yao program
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)
Installation
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.
Documentation
Tutorial | Learning Yao by Examples
Algorithm Zoo
Some quantum algorithms are implemented with Yao in QuAlgorithmZoo.
Online Documentation
- STABLE — most recently tagged version of the documentation.
- LATEST — in-development version of the documentation.
Communication
- Github issues: Please feel free to ask questions and report bugs, feature request in issues
- Slack: you can join julia's slack channel and ask Yao related questions in
#yao-devchannel. - Julia discourse: You can also ask questions on julia discourse or the Chinese discourse
Contribution
Please read our contribution guide.
The Team
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.
Cite Yao
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}
}
License
Yao is released under the Apache 2 license.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].