Neuromorphic Processing for Optical Communications

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

Abstract

Neuromorphic computing has been recently demonstrated as a lucrative technology for communications systems. Optical neuromorphic technology enables implementation of machine learning algorithms in optical domain. We will discuss the recent progress, as well as, advantages and challenges of such technology for high speed and energy efficient signal processing.
Original languageEnglish
Title of host publication21st International Conference on Transparent Optical Networks, ICTON 2019
PublisherIEEE
ISBN (Electronic)978-1-7281-2779-8
ISBN (Print)978-1-7281-2780-4
DOIs
Publication statusE-pub ahead of print - 19 Sep 2019
Event2019 21st International Conference on Transparent Optical Networks (ICTON) - Angers, France
Duration: 9 Jul 201913 Jul 2019

Publication series

Name2019 21st International Conference on Transparent Optical Networks (ICTON)
PublisherIEEE
ISSN (Print)2162-7339
ISSN (Electronic)2161-2064

Conference

Conference2019 21st International Conference on Transparent Optical Networks (ICTON)
Period9/07/1913/07/19

Bibliographical note

Publisher: IEEE.

Funding: Royal Academy of Engineering Research Fellowship RF\201718\17154.

Keywords

  • Fiber-optic communications
  • Machine learning
  • Neural networks
  • Neuromorphic processing
  • Optical signal processing

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  • Cite this

    Sorokina, M. (2019). Neuromorphic Processing for Optical Communications. In 21st International Conference on Transparent Optical Networks, ICTON 2019 [8840389] (2019 21st International Conference on Transparent Optical Networks (ICTON)). IEEE. https://doi.org/10.1109/ICTON.2019.8840389