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-0.27.252319b1.tar.gz (30.5 kB view details)

Uploaded Source

Built Distribution

qsharp_core-0.27.252319b1-py3-none-any.whl (38.6 kB view details)

Uploaded Python 3

File details

Details for the file qsharp-core-0.27.252319b1.tar.gz.

File metadata

  • Download URL: qsharp-core-0.27.252319b1.tar.gz
  • Upload date:
  • Size: 30.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for qsharp-core-0.27.252319b1.tar.gz
Algorithm Hash digest
SHA256 6d80f336fe8cb29758b24fc86877fdd42910131a2d9f82f1a8ae5bf736bd238f
MD5 ead85297a0ab366e74c37510d6a6f2f0
BLAKE2b-256 079d558a33f02cb0746e6ff7397331f470a14650e0465dc77186839b748d1f81

See more details on using hashes here.

File details

Details for the file qsharp_core-0.27.252319b1-py3-none-any.whl.

File metadata

File hashes

Hashes for qsharp_core-0.27.252319b1-py3-none-any.whl
Algorithm Hash digest
SHA256 2e71caa3f9d7a1123f1b1d7539a3d0e005c9ce1e95e0bb57bb5ec9e7fcf17656
MD5 884be41e7af9fd8fe497972ffb485b62
BLAKE2b-256 7f957e6c7d0a281aa8b2daf18f14ae5e9cefb41b555760244416059111bb78af

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