混合(物理)
卷积(计算机科学)
四波混频
叠加原理
多路复用
计算机科学
计算
波长
信号处理
算法
物理
数学
波特
相(物质)
光学计算
信号(编程语言)
圆卷积
光学
振幅
电子工程
特征(语言学)
图像处理
光通信
光学工程
方案(数学)
航程(航空)
GSM演进的增强数据速率
波分复用
基础(线性代数)
光学性能监测
相位恢复
拓扑(电路)
作者
Wentao Gu,Xiaoyan Gao,Wenchan Dong,Yilun Wang,Hailong Zhou,Jing Xu,Xinliang Zhang
出处
期刊:Optica
[Optica Publishing Group]
日期:2023-12-19
卷期号:11 (1): 64-64
被引量:14
标识
DOI:10.1364/optica.495053
摘要
Optical complex-valued convolution can extract the feature of complex-valued data by processing both amplitude and phase information, enabling a wide range of future applications in artificial intelligence and high-speed optical computation. However, because optical signals at different wavelengths cannot interfere, optical systems based on wavelength multiplexing usually can only realize real-valued computation. Here, we experimentally demonstrate an all-optical computing scheme using Kerr-based optical four-wave mixing (FWM) that can perform complex-valued convolution of multi-wavelength signals. Specifically, this all-optical complex-valued convolution operation can be implemented based on the coherent superposition of converted light generated by multiple FWM processes. The computational throughput of this scheme can be expanded by increasing the number of optical wavelengths and the signal baud rate. To exemplify the application, we successfully applied this all-optical complex-valued convolution to four different orientations of image edge extraction. Our scheme can provide a basis for wavelength-parallel optical computing systems with the demanded complex-valued computation capability.
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