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-0.13.2010.2604.tar.gz (2.5 kB view details)

Uploaded Source

Built Distribution

qsharp-0.13.2010.2604-py3-none-any.whl (2.2 kB view details)

Uploaded Python 3

File details

Details for the file qsharp-0.13.2010.2604.tar.gz.

File metadata

  • Download URL: qsharp-0.13.2010.2604.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/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.9

File hashes

Hashes for qsharp-0.13.2010.2604.tar.gz
Algorithm Hash digest
SHA256 7ee54b1364c3858debcbc02c144f830374e272f23fa89a7d90131c852147a4f7
MD5 5c93d1e90a5223f921fd80d65bcf599f
BLAKE2b-256 7b56a58780bf0d906c25e83c7c363f375dd2326f21d286223d338da326791f3a

See more details on using hashes here.

File details

Details for the file qsharp-0.13.2010.2604-py3-none-any.whl.

File metadata

  • Download URL: qsharp-0.13.2010.2604-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/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.9

File hashes

Hashes for qsharp-0.13.2010.2604-py3-none-any.whl
Algorithm Hash digest
SHA256 289021db59401932e428ded6bc9e0d9baa063d9920bafd669b4fb706a16501b4
MD5 468d2392cca9d948a626459c401315a4
BLAKE2b-256 2f752ded597b6acc9f0d35641e5db06e2dbf2a81333a778e0128d2cb8e8315ad

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