Deep Learning Control of Reconfigurable Metasurface for Real-time Holographic Beam Steering

Hyunjun Ma, Q. Han Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a reconfigurable metasurface that generates a far-field map using deep learning combined with a scattering equation in Born approximation. Our algorithm enables a real-time generation of holographic beaming with a microsecond-order generation time.

Original languageEnglish
Title of host publication2023 Conference on Lasers and Electro-Optics, CLEO 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781957171258
Publication statusPublished - 2023
Event2023 Conference on Lasers and Electro-Optics, CLEO 2023 - San Jose, United States
Duration: 2023 May 72023 May 12

Publication series

Name2023 Conference on Lasers and Electro-Optics, CLEO 2023

Conference

Conference2023 Conference on Lasers and Electro-Optics, CLEO 2023
Country/TerritoryUnited States
CitySan Jose
Period23/5/723/5/12

Bibliographical note

Publisher Copyright:
© Optica Publishing Group 2023 © 2023 The Author(s)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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