QFI-Opt collects custom simulation packages and configurations for numerical optimization methods that exploit problem structures in quantum fisher information (QFI) optimization tasks. This repository provides a Python-based framework that interfaces seamlessly with simulation evaluation scripts, allowing researchers to efficiently tackle complex optimization problems in quantum metrology. This package includes robust methods for defining objective functions, incorporating auxiliary information, and building or updating models dynamically, ensuring flexibility and scalability for various quantum optimization scenarios.
See the associated publications arxiv:2406.01859 and arxiv.org:2311.17275 for a deeper understanding of the underlying principles and the wide range of applications enabled by QFI-Opt.
This package requires Python>=3.10, and can be installed from PyPI with:
pip install qfi-opt
To install from source:
git clone https://github.com/jmlarson1/QFI-Opt.git pip install -e QFI-Opt
@misc{qfiopt,
author = {Colussi, V.~E. and Larson, J. and Lewis-Swan, R.~J. and
Narayanan, S.~H.~K. and Perlin, M.~A. and Zu\~{n}iga Castro, J.~C.},
title = {{QFI-Opt}},
url = {https://github.com/jmlarson1/QFI-Opt},
year = {2024}
}
@article{Zuniga2024,
doi = {10.48550/arXiv.2406.01859},
author = {Juan C. Zu\~{n}iga Castro and Jeffrey Larson and Sri Hari Krishna Narayanan
and Victor E. Colussi and Michael A. Perlin and Robert J. Lewis-Swan},
title = {Variational quantum state preparation for quantum-enhanced metrology in noisy systems},
year = {2024},
journal = (arXiv:2406.01859},
}
@article{LewisSwan2023,
doi = {10.48550/arXiv.2311.17275},
author = {Robert J. Lewis-Swan and Juan C. Zu\~{n}iga Castro and D. Barberena and A. M. Rey},
title = {Exploiting nonclassical motion of a trapped ion crystal for quantum-enhanced
metrology of global and differential spin rotations},
year = {2023},
journal = (arXiv:2311.17275},
}