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-0.26.232154b1.tar.gz (30.5 kB view details)

Uploaded Source

Built Distribution

qsharp_core-0.26.232154b1-py3-none-any.whl (38.5 kB view details)

Uploaded Python 3

File details

Details for the file qsharp-core-0.26.232154b1.tar.gz.

File metadata

  • Download URL: qsharp-core-0.26.232154b1.tar.gz
  • Upload date:
  • Size: 30.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for qsharp-core-0.26.232154b1.tar.gz
Algorithm Hash digest
SHA256 dabc3c35f7d027ae71cf256efb6699f9789f34aed9afd595cb2e01688cc63434
MD5 1e2b86d9fd0cb1227601a6bb7c357a9a
BLAKE2b-256 cb40528d4fe43576bde76537749153cac44f83e2f8975dc141eadb9d771ea253

See more details on using hashes here.

File details

Details for the file qsharp_core-0.26.232154b1-py3-none-any.whl.

File metadata

File hashes

Hashes for qsharp_core-0.26.232154b1-py3-none-any.whl
Algorithm Hash digest
SHA256 c5c160caeac89bdb4eb5cb10703a4311b9de96d1c0629cea8d2f8eed334441ef
MD5 cdb4b29a0fc056e18408ed329592d4de
BLAKE2b-256 daab5eb48b9bc74fa95f6952ad002292bc9e2d21df923d3cc9f322e9ea04faa5

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