Skip to main content

A framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

Project description

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

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

Cirq

Cirq is a Python library for writing, manipulating, and optimizing quantum circuits and running them against quantum computers and simulators.

This module is cirq-core, which contains everything you’d need to write quantum algorithms for NISQ devices and run them on the built-in Cirq simulators. In order to run algorithms on a given quantum hardware platform, you’ll have to install the right cirq module as well.

Installation

To install the stable version of only cirq-core, use pip install cirq-core. To install the pre-release version of only cirq-core, use pip install cirq-core –pre.

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

File details

Details for the file cirq_core-0.13.0.dev20211012220646-py3-none-any.whl.

File metadata

  • Download URL: cirq_core-0.13.0.dev20211012220646-py3-none-any.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for cirq_core-0.13.0.dev20211012220646-py3-none-any.whl
Algorithm Hash digest
SHA256 650539ac8a05f01fd1889667ba0b993ceb764c02ea0bffc3586632cf0c5c96d3
MD5 6e573d9161612a3b5270a805f9a644c0
BLAKE2b-256 e860c9cf37794f5c4e63e3a1e3600d158b387d123fd88d10101d01ad1e61b55d

See more details on using hashes here.

Provenance

Supported by

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