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We demonstrate that time-delayed nonlinear effects in exciton-polaritons canbe used to construct neural networks where information is coded in opticalpulses arriving consecutively on the sample. The highly nonlinear effects areinduced by time-dependent interactions with the excitonic reservoir. Thesenonlinearities allow to create a nonlinear XOR logic gate that can performoperations on the picosecond timescale. An optoelectronic neural network basedon the constructed logic gate performs classification of spoken digits with ahigh accuracy rate.

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