Articles Citing

Out-of-Distribution Generalization for Learning Quantum Channels with Low-Energy Coherent States

Jason L. Pereira ^1,2,3,*, Quntao Zhuang ^2,4, and Leonardo Banchi ^5,1

¹Istituto Nazionale di Fisica Nucleare (INFN) Sezione di Firenze, via G. Sansone 1, Sesto Fiorentino (FI) I-50019, Italy
²Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California 90089, USA
³Sorbonne Université, CNRS, LIP6, 4 Place Jussieu, Paris F-75005, France
⁴Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, USA
⁵Department of Physics and Astronomy, University of Florence, via G. Sansone 1, Sesto Fiorentino (FI) I-50019, Italy

^*Contact author: Jason.Pereira@lip6.fr

Quantum reservoir computing for photonic entanglement witnessing

Danilo Zia, Luca Innocenti, Giorgio Minati, Salvatore Lorenzo, Alessia Suprano, Rosario Di Bartolo, Nicolò Spagnolo, Taira Giordani, Valeria Cimini, G. Massimo Palma, Alessandro Ferraro, Fabio Sciarrino, and Mauro Paternostro

Sci. Adv. 11 eady7987 (2025)

Deep neural network-assisted improvement of quantum compressed sensing tomography

Adriano Macarone-Palmieri, Leonardo Zambrano, Maciej Lewenstein, Antonio Acín, and Donato Farina

Phys. Scr. 100 115106 (2025)

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Out-of-Distribution Generalization for Learning Quantum Channels with Low-Energy Coherent States

Quantum reservoir computing for photonic entanglement witnessing

Deep neural network-assisted improvement of quantum compressed sensing tomography

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