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-0.27.258160.tar.gz (33.2 kB view details)

Uploaded Source

Built Distribution

qsharp_core-0.27.258160-py3-none-any.whl (41.5 kB view details)

Uploaded Python 3

File details

Details for the file qsharp-core-0.27.258160.tar.gz.

File metadata

  • Download URL: qsharp-core-0.27.258160.tar.gz
  • Upload date:
  • Size: 33.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for qsharp-core-0.27.258160.tar.gz
Algorithm Hash digest
SHA256 d9a32564db5e9002e7c3ddd42dd9d360f0eba6e05afdb1396ab6867bd8ee3d1a
MD5 e47bf781eb67ad37bca064bfd26e2351
BLAKE2b-256 c2d71e5857acbca22dd79a5373da94bd20bf5a6bf0ba06942ff85fed8866fc8a

See more details on using hashes here.

File details

Details for the file qsharp_core-0.27.258160-py3-none-any.whl.

File metadata

File hashes

Hashes for qsharp_core-0.27.258160-py3-none-any.whl
Algorithm Hash digest
SHA256 a70fa3f1521de62a72d0109c4c750e9aa308712fd33e10aca49b69a9d4986f89
MD5 7fefa74fabd72c8edc695b4cd73927b0
BLAKE2b-256 03d1d97608be02b0d2d2fc5a0e038b1ee0c27a476cd59e277bdb9f4bc1b2b1a0

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