English

Quantum reservoir computing for photonic entanglement witnessing

Quantum Physics 2025-12-18 v2

Abstract

Accurately estimating properties of quantum states, such as entanglement, while essential for the development of quantum technologies, remains a challenging task. Standard approaches to property estimation rely on detailed modeling of the measurement apparatus and a priori assumptions on their working principles. Even small deviations can greatly affect reconstruction accuracy and prediction reliability. Here, we demonstrate that quantum reservoir computing embodies a powerful alternative for witnessing quantum entanglement and, more generally, estimating quantum features from experimental data. We leverage the orbital angular momentum of photon pairs as an ancillary degree of freedom to enable informationally complete single-setting measurements of their polarization. Our approach does not require fine-tuning or refined knowledge of the setup, at the same time outperforming conventional approaches. It automatically adapts to noise and imperfections while avoiding overfitting, ensuring robust reconstruction of entanglement witnesses and paving the way to the assessment of quantum features of experimental multiparty states.

Keywords

Cite

@article{arxiv.2502.18361,
  title  = {Quantum reservoir computing for photonic entanglement witnessing},
  author = {Danilo Zia and Luca Innocenti and Giorgio Minati and Salvatore Lorenzo and Alessia Suprano and Rosario Di Bartolo and Nicolò Spagnolo and Taira Giordani and Valeria Cimini and G. Massimo Palma and Alessandro Ferraro and Fabio Sciarrino and Mauro Paternostro},
  journal= {arXiv preprint arXiv:2502.18361},
  year   = {2025}
}

Comments

23 pages, 12 figures; revised version with additional figures and extended analysis