activity
20162026
most citedMachine learning-based classification of vector vortex beams

150 citations · 789 across the 38 of their papers we have counts for

collaborators
Showing 2025Show all

7 papers · 1 filter

quant-ph2025

Complexity and multi-functional variants of the Quantum-to-Quantum Bernoulli Factories

Francesco Hoch, Taira Giordani, Gonzalo Carvacho +2

A Bernoulli factory is a model for randomness manipulation that transforms an initial Bernoulli random variable into another Bernoulli variable by applying a predetermined function…

quant-ph2025

Optimal distillation of photonic indistinguishability

Francesco Hoch, Anita Camillini, Giovanni Rodari +13

Imperfect photons' indistinguishability limits the performance of photonic quantum communication and computation . Distillation protocols, inspired by entanglement purification, en…

quant-ph2025★ 1 cited

Observation of Lie algebraic invariants in Quantum Linear Optics

Giovanni Rodari, Tommaso Francalanci, Eugenio Caruccio +12

Over the past few years, various methods have been developed to engineeer and to exploit the dynamics of photonic quantum states as they evolve through linear optical networks. Rec…

quant-ph2025★ 5 cited

Photonic Quantum Convolutional Neural Networks with Adaptive State Injection

Léo Monbroussou, Beatrice Polacchi, Verena Yacoub +14

Linear optical architectures have been extensively investigated for quantum computing and quantum machine learning applications. Recently, proposals for photonic quantum machine le…

quant-ph2025★ 3 cited

Quantum memristor with vacuum--one-photon qubits

Simone Di Micco, Beatrice Polacchi, Taira Giordani +1

Quantum memristors represent a promising interface between quantum and neuromorphic computing, combining the nonlinear, memory-dependent behavior of classical memristors with the p…

quant-ph2025★ 34 cited

Quantum machine learning with Adaptive Boson Sampling via post-selection

Francesco Hoch, Eugenio Caruccio, Giovanni Rodari +18

The implementation of large-scale universal quantum computation represents a challenging and ambitious task on the road to quantum processing of information. In recent years, an in…

quant-ph2025★ 8 cited

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…