All-Analog Current Repeater for Scalable Photonic Neural Networks

James Garofolo, Ben Wu

Research output: Contribution to journalConference articlepeer-review

Abstract

We propose an all-analog current repeater for use in highly scalable Photonic neural networks. This circuit samples and indefinitely reproduces photodetector currents. It is fully parallelizable and compatible with constant value and spiking architectures.

Original languageEnglish (US)
Article numberJW5A.30
JournalOptics InfoBase Conference Papers
StatePublished - 2022
EventFrontiers in Optics, FiO 2022 - Rochester, United States
Duration: Oct 17 2022Oct 20 2022

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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