Skip to main content

Python client for Q#, a domain-specific quantum programming language

Project description

Q# Interoperability for Python

The qsharp-core 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-core package on the Python Package Index (PyPI). To do so, make sure that you are in the Python directory, and run setup.py with the install argument:

cd iqsharp/src/Python/
python setup.py install

Building the qsharp-core 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 iqsharp/src/Python/
python setup.py bdist_wheel

By default, this will create a qsharp-core 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-core-0.24.206416b1.tar.gz (26.4 kB view details)

Uploaded Source

Built Distribution

qsharp_core-0.24.206416b1-py3-none-any.whl (35.0 kB view details)

Uploaded Python 3

File details

Details for the file qsharp-core-0.24.206416b1.tar.gz.

File metadata

  • Download URL: qsharp-core-0.24.206416b1.tar.gz
  • Upload date:
  • Size: 26.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.7.9

File hashes

Hashes for qsharp-core-0.24.206416b1.tar.gz
Algorithm Hash digest
SHA256 e5b18c82d2b2b71aaa931792ee764e6d71d43493281b96570e1ecb5d60e2b5f3
MD5 fb95cb126e2e01f414c4d869bf5950be
BLAKE2b-256 0084c2d366b1fe0eea32762680b3711b64869ba2a10259c3e35d95af3130c99c

See more details on using hashes here.

File details

Details for the file qsharp_core-0.24.206416b1-py3-none-any.whl.

File metadata

File hashes

Hashes for qsharp_core-0.24.206416b1-py3-none-any.whl
Algorithm Hash digest
SHA256 5d4b0e14266b016ea91d1641801800d3a14d4c4a152d6e6b79b5e9aec08d7cd4
MD5 4c907a82cb8163b888e1762e31b8f2e0
BLAKE2b-256 672724447b3ab324d4ddcde769b8b131d4d2e20f3b70e77cb27f737829c29eb0

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