@inproceedings{dd8624f6b2d6488598eb0ceb7b82a85a,
title = "Photonic Neural Network Fabricated on Thin Film Lithium Niobate for High-Fidelity and Power-Efficient Matrix Computation",
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.",
author = "Yong Zheng and Rongbo Wu and Yuan Ren and Rui Bao and Jian Liu and Yu Ma and Min Wang and Ya Cheng",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024 ; Conference date: 04-08-2024 Through 09-08-2024",
year = "2024",
doi = "10.1109/CLEO-PR60912.2024.10676772",
language = "英语",
series = "16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024",
address = "美国",
}