23 papers
Bosonic quantum communication beyond the thermal threshold
Francesco Anna Mele, Giuseppe Catalano, Marco Fanizza +2
The quantum capacity of the bosonic thermal attenuator, which is given by the regularization of its coherent information, is unknown. The seminal work of Holevo and Werner establis…
Optimal tomography of bosonic and fermionic Gaussian states
Senrui Chen, Marco Fanizza, Filippo Girardi +4
The sample complexity is the minimum number of copies required to learn an accurate classical description of a quantum state. Bosonic and fermionic Gaussian quantum states are fami…
Advances in quantum learning theory with bosonic systems
Francesco Anna Mele
This paper reviews recent advances in quantum learning theory for continuous-variable (CV) systems. Quantum learning theory investigates how to extract classical information from q…
Convex combinations of bosonic pure-loss channels
Giuseppe Catalano, Marco Fanizza, Francesco Anna Mele +2
The pure-loss channel is a fundamental model for describing noise in bosonic quantum platforms. It is characterised by a single parameter, the transmissivity, which quantifies the…
What resources are needed for optimal learning of bosonic Gaussian states?
Senrui Chen, Francesco Anna Mele, Marco Fanizza +5
Continuous-variable systems enable key quantum technologies in computation, communication, and sensing. Bosonic Gaussian states emerge naturally in various such applications, inclu…
Random purification channel for passive Gaussian bosons
Francesco Anna Mele, Filippo Girardi, Senrui Chen +2
The random purification channel, which, given copies of an unknown mixed state , prepares copies of an associated random purification, has proved to be an extremely valu…