Lossless Monolithically Integrated Photonic InP Neuron for All-Optical Computation

Bin Shi, Kristif Prifti, Eduardo Magalhaes, Nicola Calabretta, Ripalta Stabile

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

10 Citations (Scopus)

Abstract

We demonstrate a monolithically integrated SOA-based photonic neuron, including both the weighted addition and a wavelength converter with tunable laser as nonlinear function, allowing for lossless computation of 8 Giga operation/s with an 89% accuracy.

Original languageEnglish
Title of host publication2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers
Number of pages3
ISBN (Electronic)9781943580712
DOIs
Publication statusPublished - Mar 2020
Event2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - San Diego, United States
Duration: 8 Mar 202012 Mar 2020

Conference

Conference2020 Optical Fiber Communications Conference and Exhibition, OFC 2020
Country/TerritoryUnited States
CitySan Diego
Period8/03/2012/03/20

Bibliographical note

Funding Information:
This research work is financially supported by the Netherlands Organization of Scientific Research (NWO) under the Zwaartekracht programma, ‘Research Centre for Integrated Nanophotonics’.

Publisher Copyright:
© 2020 OSA.

Keywords

  • Artificial neural networks
  • photonic integrated circuits
  • Indium phosphide

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