Photonic Synapses for Ultrahigh-Speed Neuromorphic Computing
Photonic Synapses for Ultrahigh-Speed Neuromorphic Computing
复制标题
用于超高速神经形态计算的光子突触
DOI：
10.1002/pssr.201900082
复制
发表时间：
2019-09-01
影响因子：
2.8
通讯作者：
Fei Zhuge
中科院分区：
文献类型：
--
作者：
Xia Zhuge;Wang, Jingrui;Fei Zhuge
Neuromorphic computing based on a non-von Neumann architecture is a promising way for the efficient implementation of artificial intelligence. A neuromorphic computing system is mainly composed of artificial synapses and neurons. Various electronic neuromorphic devices have been developed by different technologies. Neuromorphic photonics combines the efficiency of neural networks and the speed of photonics to build computing systems. Compared with their electronic counterparts, photonic neurons and synapses have the potential advantages of ultrafast operation speed, large bandwidth, and no electrical interconnect power loss, inherent to the computing by optical means. Therefore, photonic neuromorphic devices are attracting more and more attention. This work reviews the recent advances in the development of photonic synapses. Both purely photonic synapses and photoelectric synapses are described. Their structures and working mechanisms are discussed in detail.
