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.
Cite
CITATION STYLE
APA
Zheng, Y., Wu, R., Ren, Y., Bao, R., Liu, J., Ma, Y., … Cheng, Y. (2024). Photonic Neural Network Fabricated on Thin Film Lithium Niobate for High-Fidelity and Power-Efficient Matrix Computation. In Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024 in Proceedings 2024 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR). Optical Society of America.
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