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-26.17.0.tar.gz (12.0 MB view details)

Uploaded Source

Built Distribution

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

quantify-26.17.0-py3-none-any.whl (438.3 kB view details)

Uploaded Python 3

File details

Details for the file quantify-26.17.0.tar.gz.

File metadata

  • Download URL: quantify-26.17.0.tar.gz
  • Upload date:
  • Size: 12.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for quantify-26.17.0.tar.gz
Algorithm Hash digest
SHA256 89477330d5a5f246252031e75bca1d89e977595078509f832ed9a1ea16a8e4de
MD5 0ecfe2f25aeb9690cff1d45243cdf682
BLAKE2b-256 ee46d3a205e20934919f6ec299109d5ab5651668753e7433916e286e39218070

See more details on using hashes here.

File details

Details for the file quantify-26.17.0-py3-none-any.whl.

File metadata

  • Download URL: quantify-26.17.0-py3-none-any.whl
  • Upload date:
  • Size: 438.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for quantify-26.17.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7d1db277f6ddf56015369b9ab58c52b0a521e6101296e7e68ab53758b8f18c31
MD5 8664892bb57ef825ee7bc071c193702f
BLAKE2b-256 3c5fe15fed53b362c9ff5a33045373df5c3262f27fa42d1b9dfd16389c827dc3

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