Photonic Neural Network Fabricated on Thin Film Lithium Niobate for High-Fidelity and Power-Efficient Matrix Computation

  • Yong Zheng
  • , Rongbo Wu
  • , Yuan Ren
  • , Rui Bao
  • , Jian Liu
  • , Yu Ma
  • , Min Wang
  • , Ya Cheng*
  • *Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

We present here the first implementation of a photonic neural network based on the thin-film lithium niobate platform. Our device features ultra-high fidelity as 98.5% and exceptional power efficiency as 33.5 fJ per operation.

Original languageEnglish
StatePublished - 2024
Event2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024 - Incheon, Korea, Republic of
Duration: 4 Aug 20248 Aug 2024

Conference

Conference2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024
Country/TerritoryKorea, Republic of
CityIncheon
Period4/08/248/08/24

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