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Neural Networks Based on Ultrafast Time-Delayed Effects in Exciton Polaritons

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dc.abstract.enWe demonstrate that time-delayed nonlinear effects in exciton polaritons can be used to construct neural networks where information is coded in optical pulses arriving consecutively on the sample. The highly nonlinear effects are induced by time-dependent interactions with the excitonic reservoir. These nonlinearities allow the creation of a nonlinear XOR logic gate that can perform operations on the picosecond timescale. An optoelectronic neural network based on the constructed logic gate performs the classification of spoken digits with a high accuracy rate.
dc.affiliationUniwersytet Warszawski
dc.contributor.authorFurman, Magdalena
dc.contributor.authorSeredyński, Bartłomiej
dc.contributor.authorKról, Mateusz
dc.contributor.authorTyszka, Krzysztof
dc.contributor.authorMirek, Rafał
dc.contributor.authorOpala, Andrzej
dc.contributor.authorMatuszewski, Michał
dc.contributor.authorPacuski, Wojciech
dc.contributor.authorSuffczyński, Jan
dc.contributor.authorSzczytko, Jacek
dc.contributor.authorPiętka, Barbara
dc.date.accessioned2024-01-25T13:44:33Z
dc.date.available2024-01-25T13:44:33Z
dc.date.issued2022
dc.description.financePublikacja bezkosztowa
dc.description.number5
dc.description.volume17
dc.identifier.doi10.1103/PHYSREVAPPLIED.17.054037
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/113507
dc.identifier.weblinkhttps://link.aps.org/article/10.1103/PhysRevApplied.17.054037
dc.languageeng
dc.pbn.affiliationphysical sciences
dc.relation.ispartofPhysical Review Applied
dc.relation.pages054037-1-7
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.titleNeural Networks Based on Ultrafast Time-Delayed Effects in Exciton Polaritons
dc.typeJournalArticle
dspace.entity.typePublication