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

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

Research output: Contribution to journalArticle

28 Citations (Scopus)

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.

LanguageEnglish
Pages2401-2412
Number of pages12
JournalOptics Express
Volume25
Issue number3
Early online date30 Jan 2017
DOIs
Publication statusPublished - 6 Feb 2017

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injection locking
semiconductor lasers
predictions
hardware
photonics
injection
energy

Keywords

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

Cite this

Bueno, Julián ; Brunner, Daniel ; Soriano, Miguel C. ; Fischer, Ingo. / Conditions for reservoir computing performance using semiconductor lasers with delayed optical feedback. In: Optics Express. 2017 ; Vol. 25, No. 3. pp. 2401-2412.
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Conditions for reservoir computing performance using semiconductor lasers with delayed optical feedback. / Bueno, Julián; Brunner, Daniel; Soriano, Miguel C.; Fischer, Ingo.

In: Optics Express, Vol. 25, No. 3, 06.02.2017, p. 2401-2412.

Research output: Contribution to journalArticle

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