The PennyLane Q# plugin integrates the Q# quantum computing framework with PennyLane’s quantum machine learning capabilities.
The Microsoft Quantum Development Kit is an open-source library for quantum programming using the .NET Q# quantum programming language. Resulting quantum programs can be executed using built in local simulators, or via the cloud-based Azure quantum simulator.
PennyLane is a cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations.
The documentation can be found here.
Features
Provides a Microsoft QDK device to be used with PennyLane: microsoft.QuantumSimulator. This provides access to the local full state simulator.
All provided devices support all core qubit PennyLane operations and observables.
Provides custom PennyLane operations to cover additional Q# operations, including T, S, ISWAP, CCNOT, PSWAP, and many more. Every custom operation supports analytic differentiation.
Combine Microsoft Azure quantum simulators with PennyLane’s automatic differentiation and optimization.
Installation
Installation of this plugin, as well as all dependencies, can be done using pip:
$ python -m pip install pennylane-qsharp
Make sure you are using the Python 3 version of pip.
Alternatively, you can install PennyLane Q# from the source code by navigating to the top directory and running
$ python setup.py install
Dependencies
PennyLane Q# requires the following libraries be installed:
as well as the following Python packages:
If you currently do not have Python 3 installed, we recommend Anaconda for Python 3, a distributed version of Python packaged for scientific computation.
Software tests
To ensure that PennyLane Q# is working correctly after installation, the test suite can be run by navigating to the source code folder and running
$ make test
Documentation
To build the HTML documentation, go to the top-level directory and run
$ make docs
The documentation can then be found in the doc/_build/html/ directory.
Contributing
We welcome contributions - simply fork the PennyLane-Q# repository, and then make a pull request containing your contribution.
All contributers to PennyLane-Q# will be listed as authors on the releases.
We also encourage bug reports, suggestions for new features and enhancements, and even links to cool projects or applications built on PennyLane and the Microsoft QDK.
Support
Source Code: https://github.com/XanaduAI/pennylane-qsharp
Issue Tracker: https://github.com/XanaduAI/pennylane-qsharp/issues
PennyLane Forum: https://discuss.pennylane.ai
If you are having issues, please let us know by posting the issue on our Github issue tracker, or by asking a question in the forum.
License
PennyLane-Q# is free and open source, released under the Apache License, Version 2.0.
3 maintainers
Release files for PennyLane-qsharp 0.19.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| PennyLane-qsharp-0.19.0.tar.gz | 7.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| PennyLane_qsharp-0.19.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.4 kB
Release files / PennyLane-qsharp-0.19.0.tar.gz
| Download URL | PennyLane-qsharp-0.19.0.tar.gz |
|---|---|
| Size | 7.0 kB |
| Tags | Source |
|
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Release files / PennyLane_qsharp-0.19.0-py3-none-any.whl
| Download URL | PennyLane_qsharp-0.19.0-py3-none-any.whl |
|---|---|
| Size | 13.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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