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Titel:

Distinguishing an Anderson insulator from a many-body localized phase through space-time snapshots with neural networks

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Kotthoff, Florian; Pollmann, Frank; De Tomasi, Giuseppe
Abstract:
Distinguishing the dynamics of an Anderson insulator from a many-body localized (MBL) phase is an experimentally challenging task. In this work we propose a method based on machine learning techniques to analyze experimental snapshot data to separate the two phases. We show how to train three-dimensional convolutional neural networks (CNNs) using space-time Fock-state snapshots, allowing us to obtain dynamic information about the system. We benchmark our method on a paradigmatic model showing MB...     »
Zeitschriftentitel:
Physical Review B 2021-12
Jahr:
2021
Band / Volume:
104
Heft / Issue:
22
Volltext / DOI:
doi:10.1103/physrevb.104.224307
Verlag / Institution:
American Physical Society (APS)
E-ISSN:
2469-99502469-9969
Publikationsdatum:
27.12.2021
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