qiskit-torch-module 1.0

Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks

Comprehensive Library of Variational LSE Solvers

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