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New Journal of Physics, 2022, Volume 24, Pages 73045–16
DOI: https://doi.org/10.1088/1367-2630/ac7fb2 (Mi njp5) 		 
This article is cited in 3 scientific papers (total in 3 papers)

Learning entanglement breakdown as a phase transition by confusion

M. A. Gavreevab, A. S. Mastiukovaabc, E. O. Kiktenkoabd, A. K. Fedorovac

a Russian Quantum Center, Skolkovo, Moscow 143025, Russia
b Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region 141700, Russia
c Schaffhausen Institute of Technology, Schaffhausen 8200, Switzerland
d Department of Mathematical Methods for Quantum Technologies, Steklov Mathematical Institute of Russian Academy of Sciences, Moscow 119991, Russia
Citations (3)
DOI: https://doi.org/10.1088/1367-2630/ac7fb2
Funding agency Grant number
Russian Science Foundation 20-42-05002
Foundation for Assistance to Small Innovative Enterprises in Science and Technology 16576GU/2021
Research Center on Quantum Computing 014/20
The work is supported by the Russian Science Foundation (project 20-42-05002; the development of the method in section 3) and UMNIK Grant (Agreement 16576GU/2021 from 02.06.2021; development of the neural-network based software in section 3). We also acknowledge the support from Leading Research Center on Quantum Computing (Agreement 014/20; generalization of the method in section 4 and application to real quantum computers in section 5).
Received: 10.02.2022
Revised: 06.06.2022
Accepted: 08.07.2022
Bibliographic databases:
Document Type: Article
Language: English
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