Metadata-Version: 2.4
Name: QAILab
Version: 0.1.1
Summary: Library providing easy to use PyTorch compatible Quantum Neural Network Layers for both universal and photonic quantum computers.
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: qiskit>=1.4.0
Requires-Dist: qiskit-machine-learning>=0.8.2
Requires-Dist: torch>=2.5.0
Requires-Dist: tqdm
Requires-Dist: scikit-learn
Requires-Dist: pandas
Requires-Dist: requests
Requires-Dist: quantum_launcher
Provides-Extra: test
Requires-Dist: pytest; extra == "test"
Requires-Dist: pylint; extra == "test"
Requires-Dist: pre-commit; extra == "test"
Dynamic: license-file

# QAILab

## About project

QAILab is a high level library, which enables the user to integrate quantum neural networks of different configurations into their existing PyTorch neural networks.  
The library aims to support a large amount of backends from different quantum computer manufacturers, such as IBM, AQT and Orca Computing, via its integration with Quantum Launcher.

## Installation

You can install QAILab via pip:
```sh
pip install qailab
```

## Examples and tutorials

Examples and tutorials are available in the [QAILab documentation]()
