Towards on-chip implementation of fast delay-based reservoir computing using semiconductor ring lasers

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

In this contribution, we investigate the computational abilities of semiconductor ring lasers with optical delayed feedback for machine learning tasks. We benchmark our system on a chaotic time series prediction
task. The results show that, as other types of lasers, good performance can be obtained in a broad range of the key parameters. In particular, we find that fast processing speed of 0.5 GSample/s can be achieved. This is obtained even for an overall delay loop of 2 ns. With this short delay, it is possible to implement this reservoir computing schemes on chip as both the semiconductor ring lasers and such a short
delay can be easily implemented on the same chip.
Original languageEnglish
Title of host publicationNOLTA2014, Luzern, Switzerland
Pages308-311
Number of pages4
Publication statusPublished - Sep 2014
Event2014 International Symposium on Nonlinear Theory and its Applications: NOLTA2014 - Luzern, Switzerland
Duration: 14 Sep 201418 Sep 2014

Conference

Conference2014 International Symposium on Nonlinear Theory and its Applications
Abbreviated titleNOLTA 2014
CountrySwitzerland
CityLuzern
Period14/09/1418/09/14

Keywords

  • Reservoir computing
  • semiconductor ring laser
  • compact devices

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