Skip to main content

Q# Libraries for interop with Python.

Project description

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#.

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-0.28.302656b1.tar.gz (2.7 kB view details)

Uploaded Source

Built Distribution

qsharp-0.28.302656b1-py3-none-any.whl (2.2 kB view details)

Uploaded Python 3

File details

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

File metadata

  • Download URL: qsharp-0.28.302656b1.tar.gz
  • Upload date:
  • Size: 2.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for qsharp-0.28.302656b1.tar.gz
Algorithm Hash digest
SHA256 d1006d1ce3aa2e34f23aee7c4962bf4c61ff01cade4229f2d85e85983c531b2b
MD5 f88f8068152ba3710b5b7f3b9844a11f
BLAKE2b-256 1be4b5f98a35374121de49014fbf4342416072ec8ccc5abdaa93f3cf8d232844

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for qsharp-0.28.302656b1-py3-none-any.whl
Algorithm Hash digest
SHA256 877ecb9f5f5eea09d167d9197c5978d7aabc64dfc05cd76ea9587c4d545b5159
MD5 ae4b82a71b96167137eebd318f54f87a
BLAKE2b-256 0ef1a71f1e50db5d13f8c1b27183183a9f15c533ca57a3c0972b6b1f548ea54d

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