activity
20182022
most citedUniversal algorithms for quantum data learning

5 citations · 5 across the 1 of their papers we have counts for

collaborators

6 papers

quant-ph20225 cited

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…

quant-ph2019

Quantum flags, and new bounds on the quantum capacity of the depolarizing channel

Marco Fanizza, Farzad Kianvash, Vittorio Giovannetti

A new bound for the quantum capacity of the -dimensional depolarizing channels is presented. Our derivation makes use of a flagged extension of the map where the receiver obtain…

quant-ph2019

Beyond the swap test: optimal estimation of quantum state overlap

Marco Fanizza, Matteo Rosati, Michalis Skotiniotis +2

We study the estimation of the overlap between two unknown pure quantum states of a finite dimensional system, given and copies of each type. This is a fundamental primitiv…

quant-ph2019

Quantum-capacity bounds in spin-network communication channels

Stefano Chessa, Marco Fanizza, Vittorio Giovannetti

Using the Lieb-Robinson inequality and the continuity property of the quantum capacities in terms of the diamond norm, we derive an upper bound on the values that these capacities…

quant-ph2018

Optimal Quantum Subtracting Machine

Farzad Kianvash, Marco Fanizza, Vittorio Giovannetti

The impossibility of undoing a mixing process is analysed in the context of quantum information theory. The optimal machine to undo the mixing process is studied in the case of pur…

quant-ph2018

Optimal universal learning machines for quantum state discrimination

Marco Fanizza, Andrea Mari, Vittorio Giovannetti

We consider the problem of correctly classifying a given quantum two-level system (qubit) which is known to be in one of two equally probable quantum states. We assume that this ta…