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arXiv · 2201.00225

Neural networks based on ultrafast time-delayed effects in exciton-polaritons

Rafał Mirek·Andrzej Opala·Magdalena Furman·Mateusz Król·Krzysztof Tyszka·Bartłomiej Seredyński·Wojciech Pacuski·Jan Suffczyński·Jacek Szczytko·Michał Matuszewski·Barbara Piętka
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Abstract

We 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 to create a nonlinear XOR logic gate that can perform operations on the picosecond timescale. An optoelectronic neural network based on the constructed logic gate performs classification of spoken digits with a high accuracy rate.

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Rafał Mirek, Andrzej Opala, Magdalena Furman, Mateusz Król, Krzysztof Tyszka, Bartłomiej Seredyński, Wojciech Pacuski, Jan Suffczyński, Jacek Szczytko, Michał Matuszewski, Barbara Piętka. 2022-01-01. Neural networks based on ultrafast time-delayed effects in exciton-polaritons. https://doi.org/10.1103/physrevapplied.17.054037

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