GitPedia

ReCirq

Python modules for quantum computing applications and experiments using Cirq. Research using Cirq!

From quantumlib·Updated June 14, 2026·View on GitHub·

This project contains modules for running quantum computing applications and experiments through Cirq. By way of example, we also document best practices for setting up robust experimental pipelines. The project is written primarily in Python, distributed under the Apache License 2.0 license, first published in 2020. Key topics include: algorithms, cirq, games, google-quantum, nisq.

Latest release: v2020-10
October 15, 2020View Changelog →

ReCirq

Research using Cirq!

This project contains modules for running quantum computing applications and
experiments through Cirq. By way of example, we also document best practices
for setting up robust experimental pipelines.

Installation and Documentation

ReCirq is not available as a PyPI package. Please clone this repository and
install from source:

shell
cd recirq/ pip install .

Documentation is available at https://quantumai.google/cirq/experiments.

See Also

ReCirq leverages Cirq as a quantum programming language and SDK.

Google Quantum AI has a suite of open-source software.
From high-performance simulators, to novel tools for expressing and
analyzing fault-tolerant quantum algorithms, our software stack lets you
develop quantum programs for a variety of applications.

<div align="center">
Your interestsSoftware to explore
Programming NISQ quantum computers?Cirq
Quantum algorithms?<br>Fault-tolerant quantum computing (FTQC)?Qualtran
Large circuits and/or a lot of simulations?qsim
Circuits with thousands of qubits and millions of Clifford operations?Stim
Quantum error correction (QEC)?Stim<br>Tesseract Decoder
Chemistry and/or material science?OpenFermion<br>OpenFermion-FQE<br>OpenFermion-PySCF<br>OpenFermion-Psi4
Quantum machine learning (QML)?TensorFlow Quantum
</div>

How to cite ReCirq

<a href="https://doi.org/10.5281/zenodo.4091470"> <img align="right" src="https://img.shields.io/badge/10.5281%2Fzenodo.4091470-gray.svg?label=DOI&logo=doi&logoColor=white&style=flat-square&colorA=gray&colorB=3c60b1"> </a>

New releases of ReCirq are uploaded to Zenodo automatically. Click the badge at right to see all
citation formats for all versions, or use the following BibTeX:

bibtex
@software{quantum_ai_team_and_collaborators_2020_4091470, author = {{Quantum AI team and collaborators}}, title = {ReCirq}, month = Oct, year = 2020, publisher = {Zenodo}, doi = {10.5281/zenodo.4091470}, url = {https://doi.org/10.5281/zenodo.4091470} }

Contact

For any questions or concerns not addressed here, please email
quantum-oss-maintainers@google.com.

Disclaimer

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

Copyright 2025 Google LLC.

<div align="center"> <a href="https://quantumai.google"> <img align="center" width="15%" alt="Google Quantum AI" src="./docs/images/quantum-ai-vertical.svg"> </a> </div>

Contributors

Showing top 12 contributors by commit count.

View all contributors on GitHub →

This article is auto-generated from quantumlib/ReCirq via the GitHub API.Last fetched: 6/17/2026