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// 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. Luchnikov
abc
,
E. O. Kiktenko
ade
,
M. A. Gavreev
acd
,
H. Ouerdane
b
,
S. N. Filippov
def
,
A. K. Fedorov
acd
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
Cited by
Bibliographic databases:
ArXiv:
2103.14490
©
Steklov Math. Inst. of RAS
, 2026