Optimal Universal Learning Machines for Quantum State Discrimination. - Marco Fanizza; Andrea Mari; Vittorio Giovannetti (IEEE Trans. Inf. Theory, 2019)

Performance of Gaussian encodings for classical communication on correlated quantum phase-noise channels. - Marco Fanizza; Matteo Rosati; Michalis Skotiniotis; John Calsamiglia; Vittorio Giovannetti (ISIT, 2020)

Squeezing-enhanced communication without a phase reference. - Marco Fanizza; Matteo Rosati; Michalis Skotiniotis; John Calsamiglia; Vittorio Giovannetti (Quantum, 2021)

Quantum theory in finite dimension cannot explain every general process with finite memory. - Marco Fanizza; Josep Lumbreras; Andreas Winter (CoRR, 2022)

Bounding the quantum capacity with flagged extensions. - Farzad Kianvash; Marco Fanizza; Vittorio Giovannetti (Quantum, 2022)

Learning finitely correlated states: stability of the spectral reconstruction. - Marco Fanizza; Niklas Galke; Josep Lumbreras; Cambyse Rouzé; Andreas Winter (CoRR, 2023)

Testing identity of collections of quantum states: sample complexity analysis. - Marco Fanizza; Raffaele Salvia; Vittorio Giovannetti (Quantum, 2023)

Efficient Hamiltonian, structure and trace distance learning of Gaussian states. - Marco Fanizza; Cambyse Rouzé; Daniel Stilck França (CoRR, 2024)

Optical Fibers With Memory Effects and Their Quantum Communication Capacities. - Francesco Anna Mele; Giacomo De Palma; Marco Fanizza; Vittorio Giovannetti; Ludovico Lami (IEEE Trans. Inf. Theory, 2024)