@misc{netket3:2021,
    title={NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems},
    author={Filippo Vicentini and Damian Hofmann and Attila Szabó and Dian Wu and Christopher Roth
        and Clemens Giuliani and Gabriel Pescia and Jannes Nys and Vladimir Vargas-Calderon
        and Nikita Astrakhantsev and Giuseppe Carleo},
    year={2021},
    eprint={2112.10526},
    archivePrefix={arXiv},
    primaryClass={quant-ph},
    url={https://arxiv.org/abs/2112.10526}
}

@article{netket2:2019,
    author    = {Carleo, Giuseppe and Choo, Kenny and Hofmann, Damian and
        Smith, James E.~T. and Westerhout, Tom and Alet, Fabien and
        Davis, Emily J. and Efthymiou, Stavros and Glasser, Ivan and
        Lin, Sheng-Hsuan and Mauri, Marta and Mazzola, Guglielmo and
        Mendl, Christian B. and van Nieuwenburg, Evert and
        O'Reilly, Ossian and Th{\'e}veniaut, Hugo and Torlai, Giacomo and Vicentini, Filippo and
        Wietek, Alexander},
    title     = {NetKet: A Machine Learning Toolkit for Many-Body Quantum Systems},
    journal   = {SoftwareX},
    pages     = {100311},
    doi       = {10.1016/j.softx.2019.100311},
    url       = {http://www.sciencedirect.com/science/article/pii/S2352711019300974},
    year      = 2019
}

@article{Schmitt2020,
    title={Quantum Many-Body Dynamics in Two Dimensions with Artificial Neural Networks},
    author={Markus Schmitt and Markus Heyl},
    journal={Physical Review Letters},
    volume={125},
    pages={100503},
    year={2020},
    publisher={APS},
    doi={10.1103/PhysRevLett.125.100503},
    url={https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.125.100503}
}

@article{Goldshlager2023Spring,
  title = {A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions},
  volume = {516},
  ISSN = {0021-9991},
  url = {http://dx.doi.org/10.1016/j.jcp.2024.113351},
  DOI = {10.1016/j.jcp.2024.113351},
  journal = {Journal of Computational Physics},
  publisher = {Elsevier BV},
  author = {Goldshlager,  Gil and Abrahamsen,  Nilin and Lin,  Lin},
  year = {2024},
  month = nov,
  pages = {113351}
}

@article{Chen2024minsr,
  title = {Empowering deep neural quantum states through efficient optimization},
  volume = {20},
  ISSN = {1745-2481},
  url = {http://dx.doi.org/10.1038/s41567-024-02566-1},
  DOI = {10.1038/s41567-024-02566-1},
  number = {9},
  journal = {Nature Physics},
  publisher = {Springer Science and Business Media LLC},
  author = {Chen,  Ao and Heyl,  Markus},
  year = {2024},
  month = jul,
  pages = {1476–1481}
}

@article{Rende2024minsr,
  title = {A simple linear algebra identity to optimize large-scale neural network quantum states},
  volume = {7},
  ISSN = {2399-3650},
  url = {http://dx.doi.org/10.1038/s42005-024-01732-4},
  DOI = {10.1038/s42005-024-01732-4},
  number = {1},
  journal = {Communications Physics},
  publisher = {Springer Science and Business Media LLC},
  author = {Rende,  Riccardo and Viteritti,  Luciano Loris and Bardone,  Lorenzo and Becca,  Federico and Goldt,  Sebastian},
  year = {2024},
  month = aug 
}

% Infidelity
@article{Sinibaldi2023Unbiasing,
  title = {Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution},
  volume = {7},
  ISSN = {2521-327X},
  url = {http://dx.doi.org/10.22331/q-2023-10-10-1131},
  DOI = {10.22331/q-2023-10-10-1131},
  journal = {Quantum},
  publisher = {Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften},
  author = {Sinibaldi,  Alessandro and Giuliani,  Clemens and Carleo,  Giuseppe and Vicentini,  Filippo},
  year = {2023},
  month = oct,
  pages = {1131}
}
@article{Gravina2024PTVMC,
  title = {Neural Projected Quantum Dynamics: a systematic study},
  volume = {9},
  ISSN = {2521-327X},
  url = {http://dx.doi.org/10.22331/q-2025-07-22-1803},
  DOI = {10.22331/q-2025-07-22-1803},
  journal = {Quantum},
  publisher = {Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften},
  author = {Gravina,  Luca and Savona,  Vincenzo and Vicentini,  Filippo},
  year = {2025},
  month = jul,
  pages = {1803}
}
