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recirq-quantum_adv_learn_experimnts's Introduction

ReCirq

Research using Cirq!

This project contains modules for running quantum computing applications and experiments through Cirq and Quantum Engine. 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:

cd recirq/
pip install .

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

See Also

This code leverages Cirq as a quantum programming language and SDK. For those interested in using quantum computers to solve problems in chemistry and materials science, please see OpenFermion

ReCirq is not an official Google product. Copyright 2020 Google.

How to cite ReCirq

DOI

ReCirq is uploaded to Zenodo automatically. Click the badge above to see all citation formats for all versions or use the following 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}
}

recirq-quantum_adv_learn_experimnts's People

Contributors

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