65 citations · 233 across the 29 of their papers we have counts for
8 papers · 1 filter
Optimal cloning of mixed states
Marco Fanizza, Dmitry Grinko, Thilo Scharnhorst +1
We consider the problem of approximate cloning of quantum states: given copies of an unknown state , prepare an -copy state with high fidel…
Spectrum Estimation is Almost as Hard as Tomography
Marco Fanizza, Ryan O'Donnell, Chirag Wadhwa
We study the sample complexity of estimating and testing fundamental unitarily invariant properties of unknown quantum states; namely, the tasks of spectrum estimation, von Neumann…
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…
Complete entanglement detection using polynomial invariants
Thomas C. Fraser, Vjosa Blakaj, Roberto Rubboli +2
Existing methods for deciding whether a bipartite quantum state is separable or entangled typically fall into one of two categories: they are either complete but require access to…
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…
Reinforcement learning for quantum processes with memory
Josep Lumbreras, Ruo Cheng Huang, Yanglin Hu +2
In reinforcement learning, an agent interacts sequentially with an environment to maximize a reward, receiving only partial, probabilistic feedback. This creates a fundamental expl…
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…