The Cirq module that provides tools and access to the Google Quantum Computing Service
.. image:: https://quantumai.google/site-assets/images/marketing/icons/ic-qcs.png :target: https://github.com/quantumlib/cirq/ :alt: cirq-google :width: 500px
Cirq <https://quantumai.google/cirq>__ is a Python library for writing, manipulating, and optimizing quantum
circuits and running them against quantum computers and simulators.
This module is cirq-google, which provides everything you'll need to run Cirq quantum algorithms on the Google Quantum Computing Service. It also contains additional tools for calibration and characterization of the Google quantum devices.
Access to Google Hardware is currently restricted to those in an approved group. In order to do this, you will need to apply for access, typically in partnership with a Google sponsor.
To get started with the Quantum Computing Service, checkout the following guide and tutorial:
Access and authentication <https://quantumai.google/cirq/google/access>__Getting started guide <https://quantumai.google/cirq/tutorials/google/start>__To install the stable version of only cirq-google, use pip install cirq-google.
To install the pre-release version of only cirq-google, use pip install cirq-google~=1.0.dev.
Note, that this will install both cirq-google and cirq-core as well.
To get all the optional modules installed as well, you'll have to use pip install cirq or pip install cirq~=1.0.dev for the pre-release version.
FAQs
The Cirq module that provides tools and access to the Google Quantum Computing Service
We found that cirq-google demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.