Photonic Neural Network Fabricated on Thin Film Lithium Niobate for High-Fidelity and Power-Efficient Matrix Computation

Yong Zheng; Rongbo Wu; Yuan Ren; Rui Bao; Jian Liu; Yu Ma; Min Wang; Ya Cheng

Photonic Neural Network Fabricated on Thin Film Lithium Niobate for High-Fidelity and Power-Efficient Matrix Computation

Yong Zheng
, Rongbo Wu
, Yuan Ren
, Rui Bao
, Jian Liu
, Yu Ma
, Min Wang
, Ya Cheng^*

^*此作品的通讯作者

物理与电子科学学院

East China Normal University
CAS - Shanghai Institute of Optics and Fine Mechanics
Shanxi University
Shandong Normal University
Shanghai Research Center for Quantum Sciences
Hefei National Laboratory

科研成果: 会议稿件 › 论文 › 同行评审

摘要

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.

源语言	英语
出版状态	已出版 - 2024
活动	2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024 - Incheon, 韩国期限: 4 8月 2024 → 8 8月 2024

会议

会议	2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024
国家/地区	韩国
市	Incheon
时期	4/08/24 → 8/08/24

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引用此

@conference{688c1f594ad040f999d4196e51bd80ec,

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 The Author(s); 2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024 ; Conference date: 04-08-2024 Through 08-08-2024",

year = "2024",

language = "英语",

}

TY - CONF

T1 - Photonic Neural Network Fabricated on Thin Film Lithium Niobate for High-Fidelity and Power-Efficient Matrix Computation

AU - Zheng, Yong

AU - Wu, Rongbo

AU - Ren, Yuan

AU - Bao, Rui

AU - Liu, Jian

AU - Ma, Yu

AU - Wang, Min

AU - Cheng, Ya

PY - 2024

Y1 - 2024

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85216081149

M3 - 论文

AN - SCOPUS:85216081149

T2 - 2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024

Y2 - 4 August 2024 through 8 August 2024

ER -

Photonic Neural Network Fabricated on Thin Film Lithium Niobate for High-Fidelity and Power-Efficient Matrix Computation

摘要

会议

其它文件与链接

指纹

引用此