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This project has been archived by its maintainers, and is no longer receiving any updates.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 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 package on the Python Package Index (PyPI). To do so, make sure that you are in the Python/qsharp directory, and run setup.py with the install argument:

cd Python/qsharp
python setup.py install

Building the qsharp 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 Python/qsharp
python setup.py bdist_wheel

By default, this will create a qsharp 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#.

Release files for qsharp 0.14.2011.119794b1

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 0.14.2011.119794b1
File Size Uploaded
qsharp-0.14.2011.119794b1.tar.gz 2.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for qsharp 0.14.2011.119794b1
File Interpreter ABI Platform
qsharp-0.14.2011.119794b1-py3-none-any.whl Python 3 none any Details

Total release size: 4.8 kB

Release files / qsharp-0.14.2011.119794b1.tar.gz

Download URL qsharp-0.14.2011.119794b1.tar.gz
Size 2.5 kB
Tags Source
SHA-256 checksum
How to use checksums
c66ec0bccee3cf210b06921716a8f8c428764420efb23718c59ac1cfc8cbbf8b
BLAKE2b-256 checksum
How to use checksums
0bcc3e1d1f1d4986dffd90fd36d7e2be0b9d13bb82af1865d18bd2295c5eab7b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.7.9

Release files / qsharp-0.14.2011.119794b1-py3-none-any.whl

Download URL qsharp-0.14.2011.119794b1-py3-none-any.whl
Size 2.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
6673909e49f589124c6f96bd24b548a90eac4b4976c1f77e31cd4c7c2f532a9f
BLAKE2b-256 checksum
How to use checksums
ef7aa663995148e39089e31a55d8d920af4f219731ceac35f4478a85a731d2b2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.7.9

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