teststuff

https://github.com/mhucka/teststuff

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
✓
DOI references
Found 4 DOI reference(s) in README
✓
Academic publication links
Links to: arxiv.org, zenodo.org
○
Committers with academic emails
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Institutional organization owner
○
JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (16.7%) to scientific vocabulary

Last synced: 10 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: mhucka
Language: C++
Default Branch: main
Size: 225 KB

Statistics

Stars: 0
Watchers: 0
Forks: 0
Open Issues: 0
Releases: 1

Created over 1 year ago · Last pushed 10 months ago

Metadata Files

Readme Citation

Python package for writing, manipulating, and running [quantum circuits](https://en.wikipedia.org/wiki/Quantum_circuit) on quantum computers and simulators. [![Licensed under the Apache 2.0 license](https://img.shields.io/badge/License-Apache%202.0-3c60b1.svg?logo=opensourceinitiative&logoColor=white&style=flat-square)](https://github.com/quantumlib/Cirq/blob/main/LICENSE) [![Compatible with Python versions 3.10 and higher](https://img.shields.io/badge/Python-3.10+-fcbc2c.svg?style=flat-square&logo=python&logoColor=white)](https://www.python.org/downloads/) [![Cirq project on PyPI](https://img.shields.io/pypi/v/cirq.svg?logo=python&logoColor=white&label=PyPI&style=flat-square&color=fcbc2c)](https://pypi.org/project/cirq) [![Archived in Zenodo](https://img.shields.io/badge/10.5281%2Fzenodo.4062499-gray.svg?label=DOI&style=flat-square&colorA=gray&colorB=3c60b1)](https://doi.org/10.5281/zenodo.4062499) [Features](#features) – [Installation](#installation) – [Quick Start](#quick-start--hello-qubit-example) – [Documentation](#cirq-documentation) – [Integrations](#integrations) – [Community](#community) – [Citing Cirq](#citing-cirq) – [Contact](#contact)

Features

Cirq provides useful abstractions for dealing with today’s noisy intermediate-scale quantum (NISQ) computers, where the details of quantum hardware are vital to achieving state-of-the-art results. Some of its features include:

Flexible gate definitions and custom gates
Parameterized circuits with symbolic variables
Circuit transformation, compilation and optimization
Hardware device modeling
Noise modeling
Multiple built-in quantum circuit simulators
Integration with qsim for high-performance simulation
Interoperability with NumPy and SciPy
Cross-platform compatibility

Installation

Cirq supports Python version 3.10 and later, and can be used on Linux, MacOS, and Windows, as well as Google Colab. For complete installation instructions, please refer to the Install section of the online Cirq documentation.

Quick Start – “Hello Qubit” Example

Here is a simple example to get you up and running with Cirq after you have installed it. Start a Python interpreter, and then type the following:

```python import cirq

Pick a qubit.

qubit = cirq.GridQubit(0, 0)

Create a circuit.

circuit = cirq.Circuit( cirq.X(qubit)**0.5, # Square root of NOT. cirq.measure(qubit, key='m') # Measurement. ) print("Circuit:") print(circuit)

Simulate the circuit several times.

simulator = cirq.Simulator() result = simulator.run(circuit, repetitions=20) print("Results:") print(result) ```

Python should then print output similar to this:

text Circuit: (0, 0): ───X^0.5───M('m')─── Results: m=11000111111011001000

Congratulations! You have run your first quantum simulation in Cirq. You can continue to learn more by exploring the many Cirq tutorials described below.

Cirq Documentation

The primary documentation site for Cirq is the Cirq home page on the Quantum AI website. There and elsewhere, a variety of documentation for Cirq is available.

Tutorials

Video tutorials on YouTube are an engaging way to learn Cirq.
Jupyter notebook-based tutorials let you learn Cirq from your browser – no installation needed.
Text-based tutorials on the Cirq home page are great when combined with a local installation of Cirq on your computer. After starting with the basics, you'll be ready to dive into tutorials on circuit building and circuit simulation under the Build and Simulate tabs, respectively. Check out the other tabs for more!

Reference Documentation

Docs for the current stable release correspond to what you get with pip install cirq.
Docs for the pre-release correspond to what you get with pip install cirq~=1.0.dev.

Examples

The examples subdirectory of the Cirq GitHub repo has many programs illustrating the application of Cirq to everything from common textbook algorithms to more advanced methods.
The Experiments page on the Cirq documentation site has yet more examples, from simple to advanced.

Change log

The Cirq releases page on GitHub lists the changes in each release.

Integrations

Google Quantum AI has a suite of open-source software that lets you do more with Cirq. 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.

| Your interests | Software to explore | |-------------------------------------------------|----------------------| | Quantum algorithms?
Fault-tolerant quantum computing (FTQC)? | [Qualtran](https://github.com/quantumlib/qualtran) | | Large circuits and/or a lot of simulations? | [qsim](https://github.com/quantumlib/qsim) | | Circuits with thousands of qubits and millions of Clifford operations? | [Stim](https://github.com/quantumlib/ssim) | | Quantum error correction (QEC)? | [Stim](https://github.com/quantumlib/ssim) | | Chemistry and/or material science? | [OpenFermion](https://github.com/quantumlib/openfermion)
[OpenFermion-FQE](https://github.com/quantumlib/OpenFermion-FQE)
[OpenFermion-PySCF](https://github.com/quantumlib/OpenFermion-PySCF)
[OpenFermion-Psi4](https://github.com/quantumlib/OpenFermion-Psi4) | | Quantum machine learning (QML)? | [TensorFlow Quantum](https://github.com/tensorflow/quantum) | | Real experiments using Cirq? | [ReCirq](https://github.com/quantumlib/ReCirq) |

Community

Cirq has benefited from open-source contributions by over 200 people and counting. We are dedicated to cultivating an open and inclusive community to build software for quantum computers, and have a code of conduct for our community.

Announcements

Stay on top of Cirq developments using the approach that best suits your needs:

For releases and major announcements: sign up to the low-volume mailing list cirq-announce.
For releases only:
- Via GitHub notifications: configure GitHub repository notifications for the Cirq repository.
- Via Atom/RSS from GitHub: subscribe to the GitHub Cirq releases Atom feed.
- Via RSS from PyPI: subscribe to the PyPI releases RSS feed for Cirq.

Cirq releases take place approximately every quarter.

Questions and Discussions

Do you have questions about using Cirq? Post them to the Quantum Computing Stack Exchange and tag them with the cirq tag. You can also search past questions using that tag – it's a great way to learn!
Would you like to get more involved in Cirq development? Cirq Cynq is our biweekly virtual meeting of contributors to discuss everything from issues to ongoing efforts, as well as to ask questions. Become a member of cirq-dev to get an automatic meeting invitation!

Issues and Pull Requests

Do you have a feature request or want to report a bug? Open an issue on GitHub to report it!
Do you have a code contribution? Read our contribution guidelines, then open a pull request!

Citing Cirq

When publishing articles or otherwise writing about Cirq, please cite the Cirq version you use – it will help others reproduce your results. We use Zenodo to preserve releases. The following links let you download the bibliographic record for the latest stable release of Cirq in various popular formats:

[![Download BibTeX bibliography record for latest Cirq release](https://img.shields.io/badge/Download%20record-e0e0e0.svg?style=flat-square&logo=LaTeX&label=BibTeX&labelColor=106f6e)](https://zenodo.org/records/8161252/export/bibtex) [![Download MARCXML bibliography record for latest Cirq release](https://img.shields.io/badge/Download%20record-e0e0e0.svg?style=flat-square&label=MARCXML&labelColor=2f00cd&logo=xml)](https://zenodo.org/records/8161252/export/marcxml) [![Download CSL JSON bibliography record for latest Cirq release](https://img.shields.io/badge/Download%20record-e0e0e0.svg?style=flat-square&label=CSL&labelColor=2d98e0&logo=json)](https://zenodo.org/records/8161252/export/csl)

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

Contact

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

Disclaimer

Owner

Name: Michael Hucka
Login: mhucka
Kind: user
Location: Santa Barbara, California, USA
Company: Google Quantum AI

Repositories: 71
Profile: https://github.com/mhucka

Staff Software Engineer @ Google

Citation (CITATION.cff)

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title: Qualtran
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keywords:
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  - diagramming
  - logical qubit
  - open-source software
  - physics
  - Python
  - QEC
  - quantum
  - quantum algorithms
  - quantum circuits
  - quantum computing
  - quantum error correction
  - quantum error decoder
  - quantum gates
  - quantum programming
  - quantum programs
  - quantum simulation
  - quantum state
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  - research
  - resource estimation
  - science
  - SDK
  - simulation
  - simulator
  - software
  - software development toolkit
  - stabilizer circuits
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GitHub Events

Total

Release event: 1
Delete event: 6
Push event: 319
Pull request review comment event: 1
Pull request review event: 2
Pull request event: 41
Create event: 23

Last Year

Release event: 1
Delete event: 6
Push event: 319
Pull request review comment event: 1
Pull request review event: 2
Pull request event: 41
Create event: 23

Committers

Last synced: about 1 year ago

All Time

Total Commits: 252
Total Committers: 1
Avg Commits per committer: 252.0
Development Distribution Score (DDS): 0.0

Past Year

Commits: 252
Committers: 1
Avg Commits per committer: 252.0
Development Distribution Score (DDS): 0.0

Top Committers

Name	Email	Commits
mhucka	m**a@g**m	252

Committer Domains (Top 20 + Academic)

google.com: 1

Issues and Pull Requests

Last synced: 10 months ago

All Time

Total issues: 1
Total pull requests: 31
Average time to close issues: N/A
Average time to close pull requests: about 9 hours
Total issue authors: 1
Total pull request authors: 1
Average comments per issue: 0.0
Average comments per pull request: 0.0
Merged pull requests: 24
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 1
Pull requests: 31
Average time to close issues: N/A
Average time to close pull requests: about 9 hours
Issue authors: 1
Pull request authors: 1
Average comments per issue: 0.0
Average comments per pull request: 0.0
Merged pull requests: 24
Bot issues: 0
Bot pull requests: 0

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mhucka (31)

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size: L (1)

Dependencies

requirements.txt pypi

cirq-core ==1.3.0
cirq-google ==1.3.0
nbformat ==5.1.3
numpy ==1.24.2
pylint ==3.3.3
sympy ==1.12
tensorflow ==2.15.0
yapf ==0.40.2

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actions/checkout v4 composite

.github/workflows/ci-check-python-files.yaml actions

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teststuff

Science Score: 67.0%

Repository

Basic Info

Statistics

Metadata Files

README.md

Features

Installation

Quick Start – “Hello Qubit” Example

Pick a qubit.

Create a circuit.

Simulate the circuit several times.

Cirq Documentation

Tutorials

Reference Documentation

Examples

Change log

Integrations

Community

Announcements

Questions and Discussions

Issues and Pull Requests

Citing Cirq

Contact

Disclaimer

Owner

Citation (CITATION.cff)

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Dependencies