activity
20232026
most citedOptical fibres with memory effects and their quantum communication capacities

5 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2026

Convex combinations of bosonic pure-loss channels

Giuseppe Catalano, Marco Fanizza, Francesco Anna Mele +2

The pure-loss channel is a fundamental noise model for bosonic quantum platforms, characterised by a single parameter, the transmissivity. In realistic scenarios such as free-space…

math-ph2026

Exponential concentration of fluctuations in mean-field boson dynamics

Matias Gabriel Ginzburg, Simone Rademacher, Giacomo De Palma

We study the mean-field dynamics of a system of interacting bosons starting from an initially condensated state. For a broad class of mean-field Hamiltonians, including models…

quant-ph2026

Failure of the mean-field Hartree approximation for a bosonic many-body system with non-Hermitian Hamiltonian

Matias Ginzburg, Simone Rademacher, Giacomo De Palma

Mean-field Hartree theory is a central tool for reducing many-body dynamics to an effective one-particle evolution. This approximation has been employed when the Hamiltonian govern…

quant-ph2025

Non-iid hypothesis testing: from classical to quantum

Giacomo De Palma, Marco Fanizza, Connor Mowry +1

We study hypothesis testing (aka state certification) in the non-identically distributed setting. A recent work (Garg et al. 2023) considered the classical case, in which one is gi…

quant-ph2025

Solving MNIST with a globally trained Mixture of Quantum Experts

Paolo Alessandro Xavier Tognini, Leonardo Banchi, Giacomo De Palma

We propose a new quantum neural network for image classification, which is able to classify the parity of the MNIST dataset with full resolution with a test accuracy of up to 97.5%…

math-ph2025

Mean-field limit from general mixtures of experts to quantum neural networks

Anderson Melchor Hernandez, Davide Pastorello, Giacomo De Palma

In this work, we study the asymptotic behavior of Mixture of Experts (MoE) trained via gradient flow on supervised learning problems. Our main result establishes the propagation of…

quant-ph2023★ 5 cited

Optical fibres with memory effects and their quantum communication capacities

Francesco Anna Mele, Giacomo De Palma, Marco Fanizza +2

The development of quantum repeaters poses significant challenges in terms of cost and maintenance, prompting the exploration of alternative approaches for achieving long-distance…