Phase modulation improves performance of delay-based reservoir computing with semiconductor lasers

Ian Bauwens, Krishan Kumar Harkhoe, Peter Bienstman, Guy Verschaffelt, Guy Van Der Sande

Research output: Unpublished contribution to conferencePoster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 - 25 Nov 2022
EventIEEE Photonics Benelux Annual Symposium 2022 - TU Eindhoven, Eindhoven, Netherlands
Duration: 24 Nov 202225 Nov 2022

Conference

ConferenceIEEE Photonics Benelux Annual Symposium 2022
Country/TerritoryNetherlands
CityEindhoven
Period24/11/2225/11/22

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