Skip to main content

A Cirq package to simulate and connect to IonQ quantum computers

Project description

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

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

cirq-ionq

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

This module is cirq-ionq, which provides everything you’ll need to run Cirq quantum algorithms on IonQ quantum computers.

Documentation

To get started with IonQ quantum computing services, checkout the following guide and tutorial:

Installation

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

Note, that this will install both cirq-ionq and cirq-core.

To get all the optional modules installed, 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_ionq-0.14.0.dev20220126054517-py3-none-any.whl (48.1 kB view details)

Uploaded Python 3

File details

Details for the file cirq_ionq-0.14.0.dev20220126054517-py3-none-any.whl.

File metadata

  • Download URL: cirq_ionq-0.14.0.dev20220126054517-py3-none-any.whl
  • Upload date:
  • Size: 48.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for cirq_ionq-0.14.0.dev20220126054517-py3-none-any.whl
Algorithm Hash digest
SHA256 3b00144f7bda1b7d054e2ea01d32ad64536a9d06da8d339918a863fdd63ef9e9
MD5 17b22dde989832374ee00079f89aff26
BLAKE2b-256 0b294316e37909aa73e8bb892d98081e75b54282efe83f6691ac366867b9ea1b

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