65 citations · 233 across the 29 of their papers we have counts for
3 papers · 1 filter
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…