Skip to main content

Classiq's Python SDK for quantum computing

Project description

Classiq

The Classiq Quantum Algorithm Design platform helps teams build sophisticated quantum circuits that could not be designed otherwise

We do this by synthesizing high-level functional models into optimized quantum circuits, taking into account the constraints that are important to the designer. Furthermore, we are able to generate circuits for practically any universal gate-based quantum computer and are compatible with most quantum cloud providers.

See the documentation for information about Classiq's SDK.

License

See license.

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

classiq-0.17.0-py3-none-any.whl (230.7 kB view details)

Uploaded Python 3

File details

Details for the file classiq-0.17.0-py3-none-any.whl.

File metadata

  • Download URL: classiq-0.17.0-py3-none-any.whl
  • Upload date:
  • Size: 230.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.10

File hashes

Hashes for classiq-0.17.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7489d74c3a74ead98debf9ffe1d3d9db7655d32c4d30c918240d9f03b2eaa727
MD5 3471a3b7cfa429c8277e7f0de138e307
BLAKE2b-256 1bf0a8102c51365fb79d114a41616d7f2982face1eccb443b1aa0dce492e0ceb

See more details on using hashes here.

Supported by

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