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

Hyunjun Ma; Q-Han Park

doi:10.1364/CLEO_FS.2023.FW4H.4

CLEO 2023
Technical Digest Series (Optica Publishing Group, 2023),
paper FW4H.4
•https://doi.org/10.1364/CLEO_FS.2023.FW4H.4

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

Hyunjun Ma and Q-Han Park

CLEO: Fundamental Science 2023

San Jose, CA United States
7–12 May 2023
ISBN: 978-1-957171-25-8

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Accelerated Modelling and Photonic Computing (FW4H)

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H. Ma and Q. Park, "Deep Learning Control of Reconfigurable Metasurface for Real-time Holographic Beam Steering," in CLEO 2023, Technical Digest Series (Optica Publishing Group, 2023), paper FW4H.4.

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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.

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