返回
Integrated optical memristors
DOI:10.1038/s41566-023-01217-w.png)
摘要
En 中文
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.
Keyword:
PHASE-CHANGE MATERIALS
PLASMONIC MEMRISTOR
PHOTONIC SWITCH
RING-RESONATORS
WAVE-GUIDE
SILICON
MEMORY
期刊
IF:
32.9
论文数:
4.3K
被引数:
6.1W
机构
引用论文
Designing crystallization in phase-change materials for universal memory and neuro-inspired computing在相变材料中设计结晶以实现通用存储和神经启发计算
NATURE REVIEWS MATERIALS
IF86.2
Low-Loss Integrated Photonic Switch Using Subwavelength Patterned Phase Change Material
ACS PHOTONICS
IF6.7
Large-scale broadband digital silicon photonic switches with vertical adiabatic couplers具有垂直绝热耦合器的大规模宽带数字硅光子开关
OPTICA
IF8.5
Hybrid/Integrated Silicon Photonics Based on 2D Materials in Optical Communication Nanosystems光通信纳米系统中基于二维材料的混合/集成硅光子学
Photonics for artificial intelligence and neuromorphic computing用于人工智能和神经形态计算的光子学
NATURE PHOTONICS
IF32.9

