Conditions for reservoir computing performance using semiconductor lasers with delayed optical feedback

Julián Bueno*, Daniel Brunner, Miguel C. Soriano, Ingo Fischer

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

173 Citations (Scopus)
49 Downloads (Pure)

Abstract

Photonic implementations of reservoir computing (RC) have been receiving considerable attention due to their excellent performance, hardware, and energy efficiency as well as their speed. Here, we study a particularly attractive all-optical system using optical information injection into a semiconductor laser with delayed feedback. We connect its injection locking, consistency, and memory properties to the RC performance in a non-linear prediction task. We find that for partial injection locking we achieve a good combination of consistency and memory. Therefore, we are able to provide a physical basis identifying operational parameters suitable for prediction.

Original languageEnglish
Pages (from-to)2401-2412
Number of pages12
JournalOptics Express
Volume25
Issue number3
Early online date30 Jan 2017
DOIs
Publication statusPublished - 6 Feb 2017

Funding

This work was supported by MINECO (Spain) and FEDER via Project TEC2012-36335 (TRIPHOP), and by the Comunitat Aut?noma de les Illes Balears. J. Bueno acknowledges funding via a FPI-predoc grant from MINECO (BES-2013-064685). M. C. Soriano was supported by the Conselleria d'Innovaci?, Recerca i Turisme del Govern de les Illes Balears and the European Social Fund. The authors thank the Volkswagen Foundation for funding via the project NeuroQNet. The authors acknowledge Dr. Silvia Ort?n and Dr. Apostolos Argyris for fruitful scientific discussion.

Keywords

  • reservoir computing (RC)
  • all-optical system
  • semiconductor laser

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