Skip to main content

The Cirq module that provides tools and access to the Google Quantum Computing Service

Project description

This is a development version of Cirq-google and may be unstable.

For the latest stable release of Cirq-google see here.

cirq-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.

Documentation

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:

Installation

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 –pre.

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 –pre for the pre-release version.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cirq_google-0.16.0.dev20220707013223-py3-none-any.whl (642.1 kB view details)

Uploaded Python 3

File details

Details for the file cirq_google-0.16.0.dev20220707013223-py3-none-any.whl.

File metadata

File hashes

Hashes for cirq_google-0.16.0.dev20220707013223-py3-none-any.whl
Algorithm Hash digest
SHA256 d2e4cb7437500da4ca5749763f8a4b3308eb5b3b71d9a4c3aaecb097dec13cac
MD5 99947148f34f7b52414eee443fccca83
BLAKE2b-256 567dcee753dce2076da346faac90ce5a9c395ce7178a0c8080311cfb6a1ec2c1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page