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JOURNALS // Physical Review Research // Archive

Phys. Rev. Research, 2022, Volume 4, Pages 43002–22 (Mi phrr2)

This article is cited in 17 papers

Probing non-Markovian quantum dynamics with data-driven analysis: Beyond “black-box” machine-learning models

I. A. Luchnikovabc, E. O. Kiktenkoade, M. A. Gavreevacd, H. Ouerdaneb, S. N. Filippovdef, A. K. Fedorovacd

a Russian Quantum Center, Skolkovo, Moscow 143025, Russia
b Skolkovo Institute of Science and Technology, Moscow 121205, Russia
c National University of Science and Technology “MISIS”, Moscow 119049, Russia
d Moscow Institute of Physics and Technology, Moscow Region 141700, Russia
e Department of Mathematical Methods for Quantum Technologies, Steklov Mathematical Institute of Russian Academy of Sciences, Moscow 119991, Russia
f Valiev Institute of Physics and Technology of Russian Academy of Sciences, Moscow 117218, Russia

Received: 11.06.2021
Revised: 16.05.2022
Accepted: 19.07.2022

Language: English

DOI: 10.1103/PhysRevResearch.4.043002



Bibliographic databases:
ArXiv: 2103.14490


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