Improving the performance of photonic delay-based reservoir computing by phase modulating the input signal

Research output: Unpublished contribution to conferencePoster

Abstract

In photonic reservoir computing, semiconductor lasers with delayed feedback have shown to be suited to efficiently solve difficult and time-consuming problems. The input data in this system is often optically injected into the reservoir. Based on numerical simulations, we show that the performance depends heavily on the way that information is encoded in this optical injection signal. In our simulations we compare different input configurations consisting of Mach-Zehnder modulators and phase modulators for injecting the signal. We observe far better performance on a one-step ahead time-series prediction task when modulating the phase of the injected signal rather than only modulating its amplitude.
Original languageEnglish
Publication statusPublished - 30 Jun 2023
EventCLEO/Europe-EQEC 2023 - Munich, Germany
Duration: 26 Jun 202330 Jun 2023

Conference

ConferenceCLEO/Europe-EQEC 2023
Country/TerritoryGermany
CityMunich
Period26/06/2330/06/23

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