Dawid, Anna https://orcid.org/0000-0001-9498-1732
Huembeli, Patrick https://orcid.org/0000-0001-7047-6897
Tomza, Michal https://orcid.org/0000-0003-1792-8043
Lewenstein, Maciej https://orcid.org/0000-0002-0210-7800
Dauphin, Alexandre https://orcid.org/0000-0003-4996-2561
Funding for this research was provided by:
EU Horizon 2020 (FET-OPEN OPTOLogic No. 899794)
Fundacja na rzecz Nauki Polskiej (First Team Homing)
Narodowe Centrum Nauki (Preludium Grant No. 2019/33/N/ST2/03123 Symfonia Grant No. 2016/20/W/ST4/00314)
Generalitat de Catalunya (CERCA Program QuantumCAT U16-011424)
Agència de Gestió d’Ajuts Universitaris i de Recerca (Grant No. 2017 SGR 1341)
Juan de la Cierva Fellowship (IJCI-2017-33180)
H2020 European Research Council (ERC AdG NOQIA)
MINECO-EU (QUANTERA MAQS)
H2020 Marie Skłodowska-Curie Actions (No. 665884)
Fundació Privada Cellex
European Social Fund
‘la Caixa’ Foundation (LCF/BQ/PR20/11770012)
Ministerio de Economía y Competitividad (FISICATEAMO No. FIS2016-79508-P FPI SEVERO OCHOA No. SEV-2015-0522 FIDEUA PID2019-106901GB-I00/10.13039 / 501100011033 FIS2020-TRANQI)
Fundació Mir-Puig
Article Title: Phase detection with neural networks: interpreting the black box
Journal Title: New Journal of Physics
Article Type: paper
Copyright Information: © 2020 The Author(s). Published by IOP Publishing Ltd on behalf of the Institute of Physics and Deutsche Physikalische Gesellschaft
Publication dates
Date Received: 2020-07-23
Date Accepted: 2020-10-23
Online publication date: 2020-11-12