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https://github.com/QuantumBFS/Yao.jl
Extensible, Efficient Quantum Algorithm Design for Humans.
https://github.com/QuantumBFS/Yao.jl
machine-learning quantum-algorithms quantum-circuit quantum-computing quantum-information unitaryhack yao
Last synced: about 2 months ago
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Extensible, Efficient Quantum Algorithm Design for Humans.
- Host: GitHub
- URL: https://github.com/QuantumBFS/Yao.jl
- Owner: QuantumBFS
- License: other
- Created: 2018-04-13T13:47:02.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2024-05-22T17:59:05.000Z (4 months ago)
- Last Synced: 2024-05-22T21:48:49.792Z (4 months ago)
- Topics: machine-learning, quantum-algorithms, quantum-circuit, quantum-computing, quantum-information, unitaryhack, yao
- Language: Julia
- Homepage: https://yaoquantum.org
- Size: 29 MB
- Stars: 899
- Watchers: 25
- Forks: 115
- Open Issues: 40
-
Metadata Files:
- Readme: README.md
- Changelog: HISTORY.md
- License: LICENSE.md
- Citation: CITATION.bib
Awesome Lists containing this project
- quantum-awesome - https://github.com/QuantumBFS/Yao.jl
- awesome-quantum-software - Yao.jl - Extensible, Efficient Quantum Algorithm Design for Humans. (Quantum simulators)
README
[![CI][main-ci-img]][main-ci-url]
[![codecov][main-codecov-img]][main-codecov-url]
[![][docs-stable-img]][docs-stable-url]
[![][docs-dev-img]][docs-dev-url]
[![Unitary Fund][unitary-fund-img]](http://unitary.fund)
[](https://github.com/SciML/ColPrac)
**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](https://medium.com/@karpathy/software-2-0-a64152b37c35);
- 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](http://docs.yaoquantum.org/dev/man/blocks.html):
```julia
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
```julia
pkg> add Yao
```
For current master
```julia
pkg> add Yao#master
```
If you have problem to install the package, please [file us an issue](https://github.com/QuantumBFS/Yao.jl/issues/new).
For CUDA support, see [CuYao.jl](https://github.com/QuantumBFS/CuYao.jl).
For tensor network based simulations, see [YaoToEinsum.jl](https://github.com/QuantumBFS/YaoToEinsum.jl).
## Documentation
### [Tutorial](https://yaoquantum.org/tutorials/) | Learn Quantum Computing with Yao
### Algorithm Zoo
Some quantum algorithms are implemented with Yao in [QuAlgorithmZoo](https://github.com/QuantumBFS/QuAlgorithmZoo.jl).
### Online Documentation
- [**STABLE**](https://quantumbfs.github.io/Yao.jl/stable) — most recently tagged version of the documentation.
- [**LATEST**](https://quantumbfs.github.io/Yao.jl/latest) — in-development version of the documentation.
## Monthly Community Call
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](https://twitter.com/YaoProject).
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](https://docs.google.com/spreadsheets/d/1b6hUvo5H3_ez42zibUji42iwMrq_nNpgPg7lqLBlWUw/edit?usp=sharing).
## Communication
- Github issues: Please feel free to ask questions and report bugs, feature request in issues
- Slack: you can [join julia's slack channel](https://julialang.org/slack/) and ask Yao related questions in `#yao-dev` channel.
- Julia discourse: You can also ask questions on [julia discourse](https://discourse.julialang.org/) or the [Chinese discourse](https://discourse.juliacn.com/)
## 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](https://github.com/Roger-luo) and [Jin-Guo Liu](https://github.com/GiggleLiu) with contributions from open source community. All the contributors are listed in the [contributors](https://github.com/QuantumBFS/Yao.jl/graphs/contributors).
## Cite Yao
If you use Yao in teaching and research, please cite our work:
```bib
@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.
[docs-dev-img]: https://img.shields.io/badge/docs-dev-blue.svg
[docs-dev-url]: https://QuantumBFS.github.io/Yao.jl/dev
[docs-stable-img]: https://img.shields.io/badge/docs-stable-blue.svg
[docs-stable-url]: https://QuantumBFS.github.io/Yao.jl/stable
[unitary-fund-img]: https://img.shields.io/badge/Supported%20By-UNITARY%20FUND-brightgreen.svg?style=flat-the-badge
[main-url]: https://github.com/QuantumBFS/Yao.jl
[main-ci-img]: https://github.com/QuantumBFS/Yao.jl/actions/workflows/CI.yml/badge.svg
[main-ci-url]: https://github.com/QuantumBFS/Yao.jl/actions/workflows/CI.yml
[main-codecov-img]: https://codecov.io/gh/QuantumBFS/Yao.jl/branch/master/graph/badge.svg
[main-codecov-url]: https://codecov.io/gh/QuantumBFS/Yao.jl