Metadata-Version: 2.1
Name: pennylane-quantuminspire
Version: 0.9.0
Summary: The PennyLane-QuantumInspire plugin integrates the Quantum Inspire quantum computing backends with PennyLane's quantum machine learning capabilities.
Home-page: https://www.quantum-inspire.com
Author: Quantum Inspire
Author-email: support@quantum-inspire.com
Requires-Python: >=3.11,<4.0
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: opensquirrel (>=0.8.0,<0.9.0)
Requires-Dist: pennylane (>=0.43.0,<0.44.0)
Requires-Dist: pennylane-qiskit (>=0.43.0,<0.44.0)
Requires-Dist: qiskit-quantuminspire (>=0.14.0,<0.15.0)
Project-URL: Documentation, https://qutech-delft.github.io/pennylane-quantuminspire/
Project-URL: Repository, https://github.com/qutech-delft/pennylane-quantuminspire
Description-Content-Type: text/markdown

# PennyLane-QuantumInspire Plugin

[![License](https://img.shields.io/github/license/qutech-delft/qiskit-quantuminspire.svg?style=popout-square)](https://opensource.org/licenses/Apache-2.0)

**[PennyLane]** is an open-source SDK for quantum programming.
This project contains a provider that allows access to **[Quantum Inspire]** quantum systems.

## Getting started

All information needed to get started using this plugin can be found in our [documentation](https://qutech-delft.github.io/pennylane-quantuminspire/). Some particularly useful links:

1. [Installation and login](https://qutech-delft.github.io/pennylane-quantuminspire/getting_started/installation.html)
2. [Submitting your first circuit](https://qutech-delft.github.io/pennylane-quantuminspire/getting_started/submitting.html)
3. [Example notebooks](https://qutech-delft.github.io/pennylane-quantuminspire/notebooks/index.html)

[quantum inspire]: https://www.quantum-inspire.com/
[pennylane]: https://pennylane.ai/

