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-0.28.302656b1.tar.gz (34.4 kB view details)

Uploaded Source

Built Distribution

qsharp_core-0.28.302656b1-py3-none-any.whl (43.1 kB view details)

Uploaded Python 3

File details

Details for the file qsharp-core-0.28.302656b1.tar.gz.

File metadata

  • Download URL: qsharp-core-0.28.302656b1.tar.gz
  • Upload date:
  • Size: 34.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for qsharp-core-0.28.302656b1.tar.gz
Algorithm Hash digest
SHA256 7970bc5f5afb7ba650856fb73d48b87f1c34accb1abf5e07e2aa103b7b87c5cf
MD5 eaed8533bcc9a4dfd0b6fef16f92f97d
BLAKE2b-256 a16d125288a8687d59a90be3dc758430d1363dc9ab4981cb2906ee018aa86457

See more details on using hashes here.

File details

Details for the file qsharp_core-0.28.302656b1-py3-none-any.whl.

File metadata

File hashes

Hashes for qsharp_core-0.28.302656b1-py3-none-any.whl
Algorithm Hash digest
SHA256 82b966b32abdaeae20713123cc6511d6cc99e0a17915c841bb13dfa416fcdd55
MD5 69f38f0d643ed5b89ee294156d82b72e
BLAKE2b-256 a7f7647ed28e9ef8c1ee613452863d4069b83861bf249092b18c48840ce863cd

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