Marco Fanizza

According to our database, Marco Fanizza authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Non-iid hypothesis testing: from classical to quantum.

Giacomo De Palma, Marco Fanizza, Connor Mowry, Ryan O'Donnell

CoRR, October, 2025

Efficient learning of bosonic Gaussian unitaries.

Marco Fanizza, Vishnu Iyer, Junseo Lee, Antonio A. Mele, Francesco A. Mele

CoRR, October, 2025

The NPA hierarchy does not always attain the commuting operator value.

Marco Fanizza, Larissa Kroell, Arthur Mehta, Connor Paddock, Denis Rochette, William Slofstra, Yuming Zhao

CoRR, October, 2025

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, December, 2024

Efficient Hamiltonian, structure and trace distance learning of Gaussian states.

Marco Fanizza, Cambyse Rouzé, Daniel Stilck França

CoRR, 2024

2023

Testing identity of collections of quantum states: sample complexity analysis.

Marco Fanizza, Raffaele Salvia, Vittorio Giovannetti

Quantum, September, 2023

Learning finitely correlated states: stability of the spectral reconstruction.

Marco Fanizza, Niklas Galke, Josep Lumbreras, Cambyse Rouzé, Andreas Winter

CoRR, 2023

2022

Bounding the quantum capacity with flagged extensions.

Farzad Kianvash, Marco Fanizza, Vittorio Giovannetti

Quantum, 2022

Quantum theory in finite dimension cannot explain every general process with finite memory.

Marco Fanizza, Josep Lumbreras, Andreas Winter

CoRR, 2022

2021

Squeezing-enhanced communication without a phase reference.

Marco Fanizza, Matteo Rosati, Michalis Skotiniotis, John Calsamiglia, Vittorio Giovannetti

Quantum, 2021

2020

Performance of Gaussian encodings for classical communication on correlated quantum phase-noise channels.

Marco Fanizza, Matteo Rosati, Michalis Skotiniotis, John Calsamiglia, Vittorio Giovannetti

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

Optimal Universal Learning Machines for Quantum State Discrimination.

Marco Fanizza, Andrea Mari, Vittorio Giovannetti

IEEE Trans. Inf. Theory, 2019