计算机科学
光子学
能源消耗
光学计算
高效能源利用
计算机体系结构
矩阵乘法
分布式计算
电子工程
计算机工程
计算科学
工程类
电气工程
材料科学
物理
光电子学
量子力学
量子
作者
Junwei Cheng,Hailong Zhou,Jianji Dong
出处
期刊:Nanomaterials
[MDPI AG]
日期:2021-06-26
卷期号:11 (7): 1683-1683
被引量:26
摘要
In emerging artificial intelligence applications, massive matrix operations require high computing speed and energy efficiency. Optical computing can realize high-speed parallel information processing with ultra-low energy consumption on photonic integrated platforms or in free space, which can well meet these domain-specific demands. In this review, we firstly introduce the principles of photonic matrix computing implemented by three mainstream schemes, and then review the research progress of optical neural networks (ONNs) based on photonic matrix computing. In addition, we discuss the advantages of optical computing architectures over electronic processors as well as current challenges of optical computing and highlight some promising prospects for the future development.
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