Photonic reservoir computing for ultra-fast information processing using semiconductor lasers

Ingo Fischer, Julian Bueno, Daniel Brunner, Miguel C. Soriano, Claudio Mirasso

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 Citations (Scopus)

Abstract

Neuro-inspired computational concepts like reservoir computing can now be implemented in telecommunication-compatible hardware, with high hardware and energy efficiency and exhibiting excellent computing performance. This provides interesting perspectives for applications in telecommunication.

Original languageEnglish
Title of host publicationECOC 2016; 42nd European Conference on Optical Communication
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages336-338
Number of pages3
ISBN (Print)9783800742745
Publication statusPublished - 5 Dec 2016
Event42nd European Conference on Optical Communication, ECOC 2016 - Dusseldorf, Germany
Duration: 18 Sep 201622 Sep 2016

Conference

Conference42nd European Conference on Optical Communication, ECOC 2016
CountryGermany
CityDusseldorf
Period18/09/1622/09/16

Keywords

  • telecommunication
  • semiconductor lasers
  • reservoir computing

Fingerprint Dive into the research topics of 'Photonic reservoir computing for ultra-fast information processing using semiconductor lasers'. Together they form a unique fingerprint.

  • Cite this

    Fischer, I., Bueno, J., Brunner, D., Soriano, M. C., & Mirasso, C. (2016). Photonic reservoir computing for ultra-fast information processing using semiconductor lasers. In ECOC 2016; 42nd European Conference on Optical Communication (pp. 336-338). Piscataway, NJ: IEEE.