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This project has been archived by its maintainers, and is no longer receiving any updates.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 0.18.2107.153439

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 0.18.2107.153439
File Size Uploaded
qsharp-0.18.2107.153439.tar.gz 2.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for qsharp 0.18.2107.153439
File Interpreter ABI Platform
qsharp-0.18.2107.153439-py3-none-any.whl Python 3 none any Details

Total release size: 4.8 kB

Release files / qsharp-0.18.2107.153439.tar.gz

Download URL qsharp-0.18.2107.153439.tar.gz
Size 2.5 kB
Tags Source
SHA-256 checksum
How to use checksums
930a86baba1e0b9e75655b8ef4d0e6774a0acbb48a762bc334678ea12e4f0b65
BLAKE2b-256 checksum
How to use checksums
96168394d399097f42bb805b0d1a8555e425901a23e3f77da13dd380907ab848
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.7.9

Release files / qsharp-0.18.2107.153439-py3-none-any.whl

Download URL qsharp-0.18.2107.153439-py3-none-any.whl
Size 2.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b70d62487350a62f190dbe05c0abc91c1a03aaa08730cd2e5d1b23470dfc27d6
BLAKE2b-256 checksum
How to use checksums
c99b2cf82ea35d304de317fda40ba4a3e069166efcac104a5be756c4adae1d94
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.7.9

Release history Release notifications | RSS feed

This release

0.18.2107.153439 This release

2 release files

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