Skip to main content

A framework for controlling quantum computing and solid-state physics experiments.

Project description

Quantify

Quantify logo

try live tutorials using binder PyPI pipeline status

documentation code quality code style: ruff

license: BSD-3-Clause contributions welcome Slack

Quantify is a Python-based data acquisition framework focused on Quantum Computing and solid-state physics experiments. Currently it is a metapackage for quantify-core (git repo) and quantify-scheduler (git repo). They are built on top of QCoDeS and are a spiritual successor of PycQED.

Versioning: CalVer vYY.WW.MICRO (see calver.org).

Take a look at the latest documentation for quantify-core and quantify-scheduler for the usage instructions.

Overview and Community

For a general overview of Quantify and connecting to its open-source community, see quantify-os.org. Quantify is maintained by the Orange Quantum Systems.

Orange Quantum Systems logo

The software is licensed under a BSD 3-clause license.

Project details


Download files

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

Source Distribution

quantify-26.20.0.tar.gz (12.3 MB view details)

Uploaded Source

Built Distribution

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

quantify-26.20.0-py3-none-any.whl (467.4 kB view details)

Uploaded Python 3

File details

Details for the file quantify-26.20.0.tar.gz.

File metadata

  • Download URL: quantify-26.20.0.tar.gz
  • Upload date:
  • Size: 12.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for quantify-26.20.0.tar.gz
Algorithm Hash digest
SHA256 5883d476fcb6cc2f70223a1ec713a81da9a6d90fcdc7cb8fe15b7d983ae1099f
MD5 7e9ea4cd9f3ebf34d3095ffbc64f9a02
BLAKE2b-256 403277e7c7dcf1bc46d0811cb7044d51c6bf3f09ea0daa75aa98dc1989165241

See more details on using hashes here.

File details

Details for the file quantify-26.20.0-py3-none-any.whl.

File metadata

  • Download URL: quantify-26.20.0-py3-none-any.whl
  • Upload date:
  • Size: 467.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for quantify-26.20.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c0ba9c67d2f7504cc0043d430d3733f1711acfc615d249cd24846445caa599d2
MD5 1238068a6dad9c047be37579c79a9a9c
BLAKE2b-256 6aa344092355c3206131a37d35484ac076fbce5cdef3ddc1bff2e2b6cec2de6d

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