PennyLane-Orquestra Plugin
❗ This plugin will not be supported in newer versions of PennyLane. It is compatible with versions of PennyLane up to and including 0.33❗
The PennyLane-Orquestra plugin integrates the Orquestra workflow management system for quantum computing with PennyLane’s quantum machine learning capabilities.
PennyLane is a cross-platform Python library for differentiable programming of quantum computers.
Orquestra is a workflow management system for quantum computing.
Features
Provides four devices to be used with PennyLane: orquestra.forest, orquestra.ibmq, orquestra.qiskit and orquestra.qulacs. These devices provide access to the various backends and simulators, including hardware devices like the IBM hardware, which is accessible through the cloud.
Allows computing expectation values by submitting and processing Orquestra workflows.
Supports a wide range of PennyLane operations.
Combines Orquestra’s execution capabilities to submit batches of circuits that can be executed in parallel.
Installation
Folder structure of the plugin
The source folder of the plugin contains sub-folders for both server and client-side code:
Server-side: the steps subfolder contains the functions used in generated workflows as steps and the src subfolder contains further server-side auxiliary code (if any). Orquestra imports the main branch of the pennylane-orquestra repository on each workflow submission, so server-side changes merged into the main branch take effect immediately.
Client-side: the pennylane_orquestra subfolder contains client-side code making up the PennyLane-Orquestra plugin.
Installation and tests
This plugin requires Python version 3.6 and above. PennyLane and the Quantum Engine CLI are also required. Installation of this plugin, as well as all dependencies, can be done using pip:
pip install pennylane-orquestraTo test that the PennyLane-Orquestra plugin is working correctly you can run
make testin the source folder. Tests that involve submitting Orquestra workflows to test the end-to-end integration of the plugin can be run with make test-e2e.
Further test cases for the steps used by the PennyLane-Orquestra plugin are located in steps/tests. To run these, Python version 3.9 and above is required along with the dependencies contained in the steps/requirements_for_tests.txt. Once these are available, running make test-steps will run the steps test suite.
Please refer to the plugin documentation as well as to the PennyLane documentation for further reference.
Contributing
We welcome contributions - simply fork the repository of this plugin, and then make a pull request containing your contribution. All contributers to this plugin 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.
Support
Source Code: https://github.com/PennyLaneAI/pennylane-orquestra
Issue Tracker: https://github.com/PennyLaneAI/pennylane-orquestra/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
The PennyLane orquestra plugin is free and open source, released under the Apache License, Version 2.0.
2 maintainers
Metadata
2 maintainers
Release files for PennyLane-Orquestra 0.33.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| PennyLane_Orquestra-0.33.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / PennyLane_Orquestra-0.33.0-py3-none-any.whl
| Download URL | PennyLane_Orquestra-0.33.0-py3-none-any.whl |
|---|---|
| Size | 29.8 kB |
| Tags | Python 3 |
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