Integrated lithium niobate photonic computing circuit based on efficient and high-speed electro-optic conversion

The surge in artificial intelligence applications calls for scalable, high-speed, and low-energy computation methods. Computing with photons is promising due to the intrinsic parallelism, high bandwidth, and low latency of photons. However, current photonic computing architectures are limited by the...

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Bibliographic Details
Published in:	Nature communications Vol. 16; no. 1; pp. 8178 - 11
Main Authors:	Hu, Yaowen, Song, Yunxiang, Zhu, Xinrui, Guo, Xiangwen, Lu, Shengyuan, Zhang, Qihang, He, Lingyan, Franken, Cornelis A. A., Powell, Keith, Warner, Hana, Assumpcao, Daniel, Renaud, Dylan, Wang, Ying, Magalhães, Letícia, Rosborough, Victoria, Shams-Ansari, Amirhassan, Li, Xudong, Cheng, Rebecca, Luke, Kevin, Yang, Kiyoul, Barbastathis, George, Zhang, Mian, Zhu, Di, Johansson, Leif, Beling, Andreas, Sinclair, Neil, Lončar, Marko
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 01.09.2025 Nature Publishing Group Nature Portfolio
Subjects:	639/624/1075/1079 639/624/1075/1081 Artificial intelligence Bandwidths Binary data Computation Data transfer (computers) Diffractive optics Distributed feedback lasers Energy consumption Energy efficiency High speed Humanities and Social Sciences Latency Light Lithium Lithium niobates multidisciplinary Optics Photodiodes Photonics Photons Science Science (multidisciplinary) Sensors Signal processing Silicon Task complexity Thin films
ISSN:	2041-1723, 2041-1723
Online Access:	Get full text
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