Skip to main content

Q# Libraries for interop with Python.

Project description

Q# Interoperability for Python

The qsharp package for Python provides interoperability with the Quantum Development Kit and with the Q# language, making it easy to simulate Q# operations and functions from within Python.

For details on how to get started with Python and Q#, please see the Getting Started with Python guide.

You can also try our Quantum Computing Fundamentals learning path to get familiar with the basic concepts of quantum computing, build quantum programs, and identify the kind of problems that can be solved.

Installing with Anaconda

If you use Anaconda or Miniconda, installing the qsharp package will automatically include all dependencies:

conda install -c quantum-engineering qsharp

Installing from Source

If you'd like to contribute to or experiment with the Python interoperability feature, it may be useful to install from source rather than from the qsharp package on the Python Package Index (PyPI). To do so, make sure that you are in the Python/qsharp directory, and run setup.py with the install argument:

cd Python/qsharp
python setup.py install

Building the qsharp Package

The Python interoperability feature uses a standard setuptools-based packaging strategy. To build a platform-independent wheel, run the setup script with bdist_wheel instead:

cd Python/qsharp
python setup.py bdist_wheel

By default, this will create a qsharp wheel in dist/ with the version number set to 0.0.0.1. To provide a more useful version number, set the PYTHON_VERSION environment variable before running setup.py.

Support and Q&A

If you have questions about the Quantum Development Kit and the Q# language, or if you encounter issues while using any of the components of the kit, you can reach out to the quantum team and the community of users in Stack Overflow and in Quantum Computing Stack Exchange tagging your questions with q#.

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 Distribution

qsharp-0.27.244706b1.tar.gz (2.7 kB view details)

Uploaded Source

Built Distribution

qsharp-0.27.244706b1-py3-none-any.whl (2.2 kB view details)

Uploaded Python 3

File details

Details for the file qsharp-0.27.244706b1.tar.gz.

File metadata

  • Download URL: qsharp-0.27.244706b1.tar.gz
  • Upload date:
  • Size: 2.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for qsharp-0.27.244706b1.tar.gz
Algorithm Hash digest
SHA256 c6473753e0d51653c56699e70da2901e2fbd8e28b0f000dbc05a1e993bfed9ca
MD5 63a955350f393c453d9f6cdf387ee783
BLAKE2b-256 0fe0ada6d75954f37777f96f2ea5a0b18d03b64a88f5d377345b0ccd1893e8c7

See more details on using hashes here.

File details

Details for the file qsharp-0.27.244706b1-py3-none-any.whl.

File metadata

File hashes

Hashes for qsharp-0.27.244706b1-py3-none-any.whl
Algorithm Hash digest
SHA256 e79c5d5cb8d8529d2b37e7f0ab7f7038ef49cc0d3a747aaa9dfa64ce56353d06
MD5 3781c60d19c49f6595f41d60d6c863ec
BLAKE2b-256 eb2e2b303695b818878cb4a78af15139496081573174849c712034f5364116f4

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 Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page