TY - GEN
T1 - Hyper-multiplexed, Ultralow-Energy Optical Neural Networks on Thin-Film Lithium Niobate
AU - Ou, Shaoyuan
AU - Sludds, Alexander
AU - Hamerly, Ryan
AU - Zhong, Eric
AU - Zhang, Ke
AU - Feng, Hanke
AU - Wang, Cheng
AU - Englund, Dirk
AU - Yu, Mengjie
AU - Chen, Zaijun
PY - 2024/5
Y1 - 2024/5
N2 - We demonstrate a large-scale wavelength-time-space-multiplexed optical neural network using high-bandwidth (>40 GHz) electro-optic modulators at CMOS-compatible voltages (Vπ=1.3 V). Parallel computing with 7 wavelengths (over 1-THz) achieves 6-bit precision for accurate image classification. © 2024 The Author(s) © Optica Publishing Group 2024
AB - We demonstrate a large-scale wavelength-time-space-multiplexed optical neural network using high-bandwidth (>40 GHz) electro-optic modulators at CMOS-compatible voltages (Vπ=1.3 V). Parallel computing with 7 wavelengths (over 1-THz) achieves 6-bit precision for accurate image classification. © 2024 The Author(s) © Optica Publishing Group 2024
UR - https://www.scopus.com/pages/publications/85205099160
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85205099160&origin=recordpage
U2 - 10.1364/cleo_si.2024.sf1o.6
DO - 10.1364/cleo_si.2024.sf1o.6
M3 - RGC 32 - Refereed conference paper (with host publication)
T3 - CLEO: Science and Innovations, CLEO: S and I in Proceedings CLEO, Part of Conference on Lasers and Electro-Optics
BT - CLEO: Science and Innovations 2024
PB - Optical Society of America
T2 - 2024 Conference on Lasers and Electro-Optics (CLEO 2024)
Y2 - 5 May 2024 through 10 May 2024
ER -