Integrated optical memristors
Integrated optical memristors
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DOI：
10.1038/s41566-023-01217-w
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发表时间：
2023-05
期刊：
影响因子：
35
通讯作者：
N. Youngblood;Carlos A. Ríos Ocampo;W. Pernice;H. Bhaskaran
中科院分区：
文献类型：
--
作者：
N. Youngblood;Carlos A. Ríos Ocampo;W. Pernice;H. Bhaskaran
电子产品中的忆阻器在从电路元件到神经形态计算的一系列应用中显示出了潜力。近年来，改变电子学中通道的电导的能力使记忆计算成为可能，从而导致了对忆阻器的极大兴趣。光学类似物将需要以半连续和非易失性方式调制光的传输。随着光子计算的普及，人们正在使用一系列功能材料来追求这样的光学模拟，其包括调制集成电路中的光学响应，同时随后保持调制状态。在这里，我们回顾了在光子集成电路的这一重要和新兴方面的最新进展，并提供了对当前技术状态的概述。光学忆阻器在高带宽神经形态计算、机器学习硬件和人工智能中的应用尤其令人感兴趣，因为这些光学忆阻器的模拟允许将光学的超高速、高带宽通信与本地信息处理相结合的技术。
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.