Digital optical phase and amplitude matrix multiplication processor for neural networks

  • Xiansong Meng
  • , Kwangwoong Kim
  • , Po Dong
  • , Deming Kong*
  • , Hao Hu*
    • *Corresponding author for this work

Research output: Contribution to conference › Paper › Research › peer-review

Abstract

We propose a high-precision digital optical matrix multiplier utilizing phase and amplitude for neural networks. Results show error-free performance with 16-bit precision in high-definition image processing and no accuracy loss in handwritten digit recognition task.

Original languageEnglish
Publication date2024
Number of pages2
DOIs
Publication statusPublished - 2024
EventCLEO: Science and Innovations 2024 - Charlotte Convention Center, Charlotte, United States
Duration: 5 May 2024 → 10 May 2024

Conference

ConferenceCLEO: Science and Innovations 2024
LocationCharlotte Convention Center
Country/TerritoryUnited States
CityCharlotte
Period05/05/2024 → 10/05/2024

Keywords

  • Accuracy
  • Adaptive optics
  • Electro-optic effects
  • Handwriting recognition
  • Image recognition
  • Neural networks
  • Optical computing
  • Optical fiber networks
  • Optical imaging
  • Optical losses

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