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-0.13.2011.119705b1.tar.gz (2.5 kB view details)

Uploaded Source

Built Distribution

qsharp-0.13.2011.119705b1-py3-none-any.whl (2.2 kB view details)

Uploaded Python 3

File details

Details for the file qsharp-0.13.2011.119705b1.tar.gz.

File metadata

  • Download URL: qsharp-0.13.2011.119705b1.tar.gz
  • Upload date:
  • Size: 2.5 kB
  • Tags: Source
  • Uploaded using 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

File hashes

Hashes for qsharp-0.13.2011.119705b1.tar.gz
Algorithm Hash digest
SHA256 f90464d0e1f7644860de10c9319fa00759f3a736c9fb2bd08151f5960f5e4fc0
MD5 c470571604576db0a8fd6b5e5d79a42c
BLAKE2b-256 d92514d070499fb4d94dfe9b040b4c0159efe50f02ee4504e55bd843364585d8

See more details on using hashes here.

File details

Details for the file qsharp-0.13.2011.119705b1-py3-none-any.whl.

File metadata

  • Download URL: qsharp-0.13.2011.119705b1-py3-none-any.whl
  • Upload date:
  • Size: 2.2 kB
  • Tags: Python 3
  • Uploaded using 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

File hashes

Hashes for qsharp-0.13.2011.119705b1-py3-none-any.whl
Algorithm Hash digest
SHA256 3d31cb234870e489e7e12c5ac4b710452263f8aaa8b0aa4f125b4206288deb82
MD5 5c9cc420e220eafac9eaae3e63b102ce
BLAKE2b-256 543ce56414e50255a97074af9144ae9e8f526c47f0bec0e35875f84380b3c9e2

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