65 citations · 233 across the 29 of their papers we have counts for
29 papers
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…
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…
Random Stinespring superchannel: converting channel queries into dilation isometry queries
Filippo Girardi, Francesco Anna Mele, Haimeng Zhao +2
The recently introduced random purification channel, which converts copies of an arbitrary mixed quantum state into copies of the same uniformly random purification, has em…
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…
Non-asymptotic quantum communication on lossy transmission lines with memory
Francesco Anna Mele, Giovanni Barbarino, Vittorio Giovannetti +1
Non-asymptotic quantum Shannon theory analyses how to transmit quantum information across a quantum channel as efficiently as possible within a specified error tolerance, given acc…
Achievable rates in non-asymptotic bosonic quantum communication
Francesco Anna Mele, Giovanni Barbarino, Vittorio Giovannetti +1
Bosonic quantum communication has extensively been analysed in the asymptotic setting, assuming infinite channel uses and vanishing communication errors. Comparatively fewer detail…
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…
Low-ground/High ground capacity regions analysis for Bosonic Gaussian Channels
Farzad Kianvash, Marco Fanizza, Vittorio Giovannetti
We present a comprehensive characterization of the interconnections between single-mode, phaseinsensitive Gaussian Bosonic Channels resulting from channel concatenation. This chara…
Learning quantum processes without input control
Marco Fanizza, Yihui Quek, Matteo Rosati
We introduce a general statistical learning theory for processes that take as input a classical random variable and output a quantum state. Our setting is motivated by the practica…
Universal algorithms for quantum data learning
Marco Fanizza, Michalis Skotiniotis, John Calsamiglia +2
Operating quantum sensors and quantum computers would make data in the form of quantum states available for purely quantum processing, opening new avenues for studying physical pro…
Ultimate limits for quickest quantum change-point detection
Marco Fanizza, Christoph Hirche, John Calsamiglia
Detecting abrupt changes in data streams is crucial because they are often triggered by events that have important consequences if left unattended. Quickest change point detection…
An agnostic-Dolinar receiver for coherent states classification
Fabio Zoratti, Nicola Dalla Pozza, Marco Fanizza +1
We consider the problem of discriminating quantum states, where the task is to distinguish two different quantum states with a complete classical knowledge about them, and the prob…
Testing identity of collections of quantum states: sample complexity analysis
Marco Fanizza, Raffaele Salvia, Vittorio Giovannetti
We study the problem of testing identity of a collection of unknown quantum states given sample access to this collection, each state appearing with some known probability. We show…
Estimating Quantum and Private capacities of Gaussian channels via degradable extensions
Marco Fanizza, Farzad Kianvash, Vittorio Giovannetti
We present upper bounds on the quantum and private capacity of single-mode, phase-insentitive Bosonic Gaussian Channels based on degradable extensions. Our findings are state-of-th…
Asymptotics of coherent invariant tensors
Pietro Dona, Marco Fanizza, Pierre Martin-Dussaud +1
We study the semiclassical limit of a class of invariant tensors for infinite-dimensional unitary representations of of the principal series, correspond…
Bounding the quantum capacity with flagged extensions
Farzad Kianvash, Marco Fanizza, Vittorio Giovannetti
In this article we consider flagged extensions of convex combination of quantum channels, and find general sufficient conditions for the degradability of the flagged extension. An…
Squeezing-enhanced communication without a phase reference
Marco Fanizza, Matteo Rosati, Michalis Skotiniotis +2
We study the problem of transmitting classical information using quantum Gaussian states on a family of phase-noise channels with a finite decoherence time, such that the phase-ref…