5 citations · 5 across the 1 of their papers we have counts for
9 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…
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…
Quantum Godwin's Law
Michalis Skotiniotis, Andreas Winter
Godwin's law, i.e. the empirical observation that as an online discussion grows in time, the probability of a comparison with Nazis or Hitler quickly approaches unity, is one of th…
Discrimination and estimation of incoherent sources under misalignment
J. O. de Almeida, J. Kołodyński, C. Hirche +2
Spatially resolving two incoherent point sources whose separation is well below the diffraction limit dictated by classical optics has recently been shown possible using techniques…
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…
Accessible coherence in open quantum system dynamics
María García Díaz, Benjamin Desef, Matteo Rosati +5
Quantum coherence generated in a physical process can only be cast as a potentially useful resource if its effects can be detected at a later time. Recently, the notion of non-cohe…