记忆电阻器
神经形态工程学
光子学
计算机科学
数码产品
光学计算
带宽(计算)
电子工程
电子线路
集成电路
光开关
光子集成电路
计算机体系结构
电气工程
电信
材料科学
光电子学
工程类
人工智能
人工神经网络
操作系统
作者
Nathan Youngblood,Carlos Rı́os,Wolfram H. P. Pernice,Harish Bhaskaran
出处
期刊:Nature Photonics
[Springer Nature]
日期:2023-05-29
卷期号:17 (7): 561-572
被引量:63
标识
DOI:10.1038/s41566-023-01217-w
摘要
Memristors in electronics have shown the potential for a range of applications, ranging from circuit elements to neuromorphic computing. In recent years, the ability to vary the conductance of a channel in electronics has enabled in-memory computing, thus leading to substantial interest in memristors. Optical analogues will require modulation of the transmission of light in a semicontinuous and nonvolatile manner. With the proliferation of photonic computing, such an optical analogue, which involves modulating the optical response in integrated circuits while maintaining the modulated state afterwards, is being pursued using a range of functional materials. Here we review recent progress in this important and emerging aspect of photonic integrated circuits and provide an overview of the current state of the art. Optical memristors are of particular interest for applications in high-bandwidth neuromorphic computing, machine learning hardware and artificial intelligence, as these optical analogues of memristors allow for technology that combines the ultrafast, high-bandwidth communication of optics with local information processing. Optical analogues of electronic memristors are desirable for applications including photonic artificial intelligence and computing platforms. Here, recent progress on integrated optical memristors is reviewed.
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