542 citations · 2k across the 56 of their papers we have counts for
57 papers
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…
Online identification of symmetric pure states
Gael Sentís, Esteban Martínez-Vargas, Ramon Muñoz-Tapia
We consider online strategies for discriminating between symmetric pure states with zero error when copies of the states are provided. Optimized online strategies involve local…
Quantum Sequential Hypothesis Testing
Esteban Martínez-Vargas, Christoph Hirche, Gael Sentís +4
We introduce sequential analysis in quantum information processing, by focusing on the fundamental task of quantum hypothesis testing. In particular our goal is to discriminate bet…
Reinforcement learning for optimal error correction of toric codes
Laia Domingo Colomer, Michalis Skotiniotis, Ramon Muñoz-Tapia
We apply deep reinforcement learning techniques to design high threshold decoders for the toric code under uncorrelated noise. By rewarding the agent only if the decoding procedure…
Certified answers for ordered quantum discrimination problems
Esteban Martínez-Vargas, Ramon Munoz-Tapia
We investigate the quantum state discrimination task for sets of linear independent pure states with an intrinsic ordering. This structured discrimination problems allow for a nove…
Unsupervised classification of quantum data
Gael Sentís, Alex Monràs, Ramon Muñoz-Tapia +2
We introduce the problem of unsupervised classification of quantum data, namely, of systems whose quantum states are unknown. We derive the optimal single-shot protocol for the bin…