Skip to main content
Archived

This project has been archived by its maintainers, and is no longer receiving any updates.

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#.

Metadata

Release files for qsharp-core 0.27.253010

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for qsharp-core 0.27.253010
File Size Uploaded Provenance Actions
qsharp-core-0.27.253010.tar.gz 30.5 kB Without provenance Details for qsharp-core-0.27.253010.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for qsharp-core 0.27.253010
File Interpreter ABI Platform Actions
qsharp_core-0.27.253010-py3-none-any.whl Python 3 none any Details for qsharp_core-0.27.253010-py3-none-any.whl

Total release size: 69.1 kB

Release files / qsharp-core-0.27.253010.tar.gz

Download URL qsharp-core-0.27.253010.tar.gz
Size 30.5 kB
Tags Source
SHA-256 checksum
How to use checksums
b40033882651acd91b4edd05e543da605632b6fdde2db834d0ef9bbe0fe49e8d
BLAKE2b-256 checksum
How to use checksums
bba91276b92cc730d7f6bb5ba1304a726cfb726cd17600ea7918554a5174fc9e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.13

Release files / qsharp_core-0.27.253010-py3-none-any.whl

Download URL qsharp_core-0.27.253010-py3-none-any.whl
Size 38.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1ecef1c531498afd02a31aaf4af05d9f7295f759d37a050f583e20cd405d1a1e
BLAKE2b-256 checksum
How to use checksums
492bc5bb80ce8a20fe5a360f8e0eb87b2c023fe2824040ac8864bc0101035767
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.13

Security for qsharp-core 0.27.253010

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page