Noise and Scalability Investigation of SOA-based All-optical Photonic Deep Neural Network

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Abstract

We emulate and experimentally validate the scaling of SOA-based all-optical deep neural networks by accurately modeling the OSNR degradation in a chain of SOAs: The photonic neural network can scale up to 16 layers when using only 4 neurons/layer without notable accuracy degradation.

Original languageEnglish
Title of host publication2021 Asia Communications and Photonics Conference, ACP 2021 - Proceedings
PublisherOptical Society of America (OSA)
PagesT1E.4
Number of pages3
ISBN (Electronic)9781957171005
ISBN (Print)978-1-957171-00-5
DOIs
Publication statusPublished - 2021
Event2021 Asia Communications and Photonics Conference, ACP 2021 - Shanghai, China
Duration: 24 Oct 202127 Oct 2021
https://www.osapublishing.org/conference.cfm?meetingid=144&yr=2021

Conference

Conference2021 Asia Communications and Photonics Conference, ACP 2021
Country/TerritoryChina
CityShanghai
Period24/10/2127/10/21
Internet address

Bibliographical note

Publisher Copyright:
© Optica Publishing Group 2021

Keywords

  • All-optical Neural Network
  • Semiconductor optical amplifiers
  • Optical networks
  • Optical signal to noise ratio
  • Optical systems
  • Spontaneous emission

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