semvec/pypi-packages huggingface dataset:
qiskit-torch-module 1.0.1
Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks
License: Apache License 2.0
Requires Python: ~=3.12

# Qiskit-Torch-Module

This repo contains the code for the `qiskit-torch-module` introduced in 
"Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks", N. Meyer et al. (2024).

## Setup and Installation

The library requires an installation of `python 3.12`, and following libraries:
- `qiskit~=1.0.0`, backward compatible up to `qiskit v0.44.0`
- `qiskit-algorithms~=0.3.0`
- `torch~=2.2.1`
- `threadpoolctl~=3.3.0`

We recommend setting up a conda environment:

```
conda create --name ENV_NAME python=3.12
conda activate ENV_NAME
```

The package `qiskit-torch-module` can be installed locally via:
```
pip install qiskit-torch-module
```

## Usage and Further Information

For further usage details and examples please refer to the repository https://github.com/nicomeyer96/qiskit-torch-module

## Acknowledgements

The backbone of our implementation is the ``qiskit`` software framework: https://github.com/Qiskit

Furthermore, we git inspired by ``qiskit-machine-learning``: https://github.com/qiskit-community/qiskit-machine-learning

## Citation

If you use the `qiskit-torch-module` or results from the paper, please cite
"Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks", N. Meyer et al. (2024).

## Version History

Initial release (v1.0): April 2024

## License

Apache 2.0 License