Apache License 2.0

项目介绍

quantumlib/OpenFermion 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,采用 Apache License 2.0 许可证,目前获得 1.7k 个 Star、443 次 Fork。

仓库全名
quantumlib/OpenFermion
开源许可证
Apache License 2.0
Star 数
1.7k
Fork 数
443
未关闭 Issue
21

README 摘要

OpenFermion Electronic structure package for quantum computers. Features – Installation – Plugins – Documentation – Contributing – Citing – Authors – Contact Features OpenFermion is an open-source Python package for compiling and analyzing quantum algorithms to simulate fermionic systems, including quantum chemistry. Among other features, it includes data structures and…

完整内容见 GitHub 原始 README 或本页 。

常见问题

OpenFermion 用什么语言开发?

主要使用 Python 编写,采用 Apache License 2.0 许可证,目前有 1.7k 个 Star。

OpenFermion 可以免费商用吗?

仓库采用 Apache License 2.0 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 OpenFermion 的源码?

可以直接克隆仓库:git clone https://github.com/quantumlib/OpenFermion.git,默认分支为 main;安装与运行步骤见仓库 README。

OpenFermion 最近还在维护吗?

仓库最近一次更新为 1 周前,当前有 21 个未关闭 Issue;Star 数为 1.7k,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

Python package for compiling and analyzing quantum algorithms to simulate electronic structures.

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

语言占比

HTML
Jupyter Notebook
Makefile
Markdown
Python
Shell

Release

README

OpenFermion

Electronic structure package for quantum computers.

Compatible with Python versions 3.10 and higher Licensed under the Apache 2.0 license OpenFermion project on PyPI

Features – Installation – Plugins – Documentation – Contributing – Citing – Authors – Contact

Features

OpenFermion is an open-source Python package for compiling and analyzing quantum algorithms to simulate fermionic systems, including quantum chemistry. Among other features, it includes data structures and tools for obtaining and manipulating representations of fermionic and qubit Hamiltonians. More information can be found in the release paper.

Installation

Installing the latest stable OpenFermion requires the Python package installer pip. (Make sure that you are using an up-to-date version of it.)

Currently, OpenFermion is tested on Mac, Windows, and Linux. We recommend using Mac or Linux because the electronic structure plugins are only compatible on these platforms. However, for those who would like to use Windows, or for anyone having other difficulties with installing OpenFermion or its plugins, we provide instructions for creating and using a Docker image – see the docker/ subdirectory. The Docker image provides a virtual environment with OpenFermion and select plugins pre-installed. The Docker installation should run on any operating system where Docker can be used.

User installation

To install the latest PyPI release of OpenFermion as a Python package for the current user (which avoids modifying system Python packages), run the following command:

python -m pip install --user openfermion

Developer installation

To install the latest version of OpenFermion in development mode, run the following commands:

git clone https://github.com/quantumlib/OpenFermion
cd OpenFermion
python -m pip install -e .

Plugins

OpenFermion relies on modular plugin packages for significant functionality. Specifically, plugins are used to simulate quantum circuits and to perform classical electronic structure calculations. Follow the links below to learn more!

High-performance simulators

  • OpenFermion-FQE is a high-performance emulator of fermionic quantum evolutions specified by a sequence of fermion operators, which can exploit fermionic symmetries such as spin and particle number.

Electronic structure package plugins

Documentation

Documentation for OpenFermion can be found at quantumai.google/openfermion and the following links:

You can run OpenFermion’s interactive Jupyter Notebooks, such as the introductory tutorial, in Colab or MyBinder.

Contributing to OpenFermion

We’d love to accept your contributions and patches to OpenFermion. There are a few small guidelines you need to follow.

  • Contributions to OpenFermion must be accompanied by a Contributor License Agreement (CLA). You (or your employer) retain the copyright to your contribution; the CLA simply gives us permission to use and redistribute your contributions as part of the OpenFermion project. Please visit https://cla.developers.google.com/ to see your current agreements on file or to sign a new one.

  • All submissions, including submissions by project members, require review. We use GitHub pull requests for this purpose. Consult the appropriate GitHub documentation for more information on using pull requests.

  • Please make sure your new code comes with extensive tests! We use automatic testing to make sure all pull requests pass tests and do not decrease overall test coverage by too much.

  • Please also make sure to follow the OpenFermion source code style. We follow Google coding conventions, with a few changes described in CONTRIBUTING.md, and use black, Pylint, and mypy to check for it. Running check/all runs all the checks.

  • Please review our code of conduct.

  • Code should always be accompanied by documentation. Formatted OpenFermion documentation is generated automatically and can be found on the Quantum AI web site.

  • We use GitHub issues for tracking requests and bugs. Please post questions to the Quantum Computing Stack Exchange with an openfermion tag.

Citing OpenFermion

OpenFermion is the work of many people. When using OpenFermion for research projects, please cite the published paper:

Jarrod R McClean, Nicholas C Rubin, Kevin J Sung, Ian D Kivlichan, Xavier Bonet-Monroig, Yudong Cao, Chengyu Dai, E Schuyler Fried, Craig Gidney, Brendan Gimby, Pranav Gokhale, Thomas Häner, Tarini Hardikar, Vojtěch Havlíček, Oscar Higgott, Cupjin Huang, Josh Izaac, Zhang Jiang, Xinle Liu, Sam McArdle, Matthew Neeley, Thomas O’Brien, Bryan O’Gorman, Isil Ozfidan, Maxwell D Radin, Jhonathan Romero, Nicolas P D Sawaya, Bruno Senjean, Kanav Setia, Sukin Sim, Damian S Steiger, Mark Steudtner, Qiming Sun, Wei Sun, Daochen Wang, Fang Zhang, and Ryan Babbush. (2020). OpenFermion: The Electronic Structure Package for Quantum Computers. Quantum Science and Technology, 5(3), 034014.

For formatted citations and records in other formats, as well as records for all releases of OpenFermion past and present, please visit the OpenFermion page on Zenodo.

Authors

Ryan Babbush (Google), Jarrod McClean (Google), Nicholas Rubin (Google), Kevin Sung (University of Michigan), Ian Kivlichan (Harvard), Dave Bacon (Google), Xavier Bonet-Monroig (Leiden University), Yudong Cao (Harvard), Chengyu Dai (University of Michigan), E. Schuyler Fried (Harvard), Craig Gidney (Google), Brendan Gimby (University of Michigan), Pranav Gokhale (University of Chicago), Thomas Häner (ETH Zurich), Tarini Hardikar (Dartmouth), Vojtěch Havlíček (Oxford), Oscar Higgott (University College London), Cupjin Huang (University of Michigan), Josh Izaac (Xanadu), Zhang Jiang (NASA), William Kirby (Tufts University), Emiel Koridon (Leiden University), Xinle Liu (Google), Sam McArdle (Oxford), Matthew Neeley (Google), Thomas O’Brien (Leiden University), Bryan O’Gorman (UC Berkeley, NASA), Isil Ozfidan (D-Wave Systems), Max Radin (UC Santa Barbara), Jhonathan Romero (Harvard), Daniel Sank (Google), Nicolas Sawaya (Harvard), Bruno Senjean (Leiden University), Kanav Setia (Dartmouth), Hannah Sim (Harvard), Damian Steiger (ETH Zurich), Mark Steudtner (Leiden University), Qiming Sun (Caltech), Wei Sun (Google), Daochen Wang (River Lane Research), Chris Winkler (University of Chicago), and Fang Zhang (University of Michigan).

We are happy to include future contributors as authors on later releases.

Contact

For any questions or concerns not addressed here, please email [email protected].

Disclaimer

This is not an officially supported Google product. This project is not eligible for the Google Open Source Software Vulnerability Rewards Program.

Copyright 2017 The OpenFermion Developers.

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