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20222026
most citedDynamical learning of a photonics quantum-state engineering process

23 citations · 45 across the 4 of their papers we have counts for

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quant-ph2026

Efficient classical training of model-free quantum photonic reservoir

Rosario Di Bartolo, Valeria Cimini, Giorgio Minati +10

Model-independent estimation of the properties of quantum states is a central challenge in quantum technologies, as experimental imperfections, drifts, and imprecise models of the…

quant-ph2025

Quantum reservoir computing for photonic entanglement witnessing

Danilo Zia, Luca Innocenti, Giorgio Minati +10

Accurately estimating properties of quantum states, such as entanglement, while essential for the development of quantum technologies, remains a challenging task. Standard approach…

quant-ph2024

Modal division multiplexing of quantum and classical signals in few-mode fibers

Danilo Zia, Mario Zitelli, Gonzalo Carvacho +3

Mode-division multiplexing using multimode optical fibers has been intensively studied in recent years, in order to alleviate the transmission capacity crunch. Moreover, the need f…

quant-ph202222 cited

Enhanced detection techniques of Orbital Angular Momentum states in the classical and quantum regimes

Alessia Suprano, Danilo Zia, Emanuele Polino +6

The Orbital Angular Momentum (OAM) of light has been at the center of several classical and quantum applications for imaging, information processing and communication. However, the…

quant-ph202223 cited

Dynamical learning of a photonics quantum-state engineering process

Alessia Suprano, Danilo Zia, Emanuele Polino +6

Experimentally engineering high-dimensional quantum states is a crucial task for several quantum information protocols. However, a high degree of precision in the characterization…