计算机科学
可扩展性
计算复杂性理论
带宽(计算)
矩阵乘法
干涉测量
并行计算
乘法(音乐)
光子学
并行处理
计算机工程
计算机体系结构
电子工程
维数(图论)
信号处理
钥匙(锁)
计算科学
超级计算机
光学计算
编码(内存)
计算机硬件
还原(数学)
边缘计算
GSM演进的增强数据速率
并行算法
人工神经网络
分布式计算
吞吐量
边缘设备
传输(电信)
作者
Qingrui Yao,Yuxin Sun,Xiyuan Ke,Yiwei Xie,Shun-hua Liu,Hongzhi Xiong,Huan Li,Xiangxing Bai,Yaocheng Shi,Daoxin Dai,Qingrui Yao,Yuxin Sun,Xiyuan Ke,Yiwei Xie,Shun-hua Liu,Hongzhi Xiong,Huan Li,Xiangxing Bai,Yaocheng Shi,Daoxin Dai
标识
DOI:10.1002/lpor.202501876
摘要
ABSTRACT Integrated photonic matrix‐vector multiplication (MVM) is an emerging technology with broad applications in science and engineering, offering inherent advantages in high‐speed and low‐power consumption computations. Among various architectures explored, coherent multiport Mach‐Zehnder interferometer (MZI) mesh networks are widely utilized for implementing reconfigurable complex‐valued matrix computations. However, their scalability is fundamentally constrained by accumulated losses and control complexity as the mesh size grows. Here, we introduce multi‐wavelength technology to enhance computational parallelism by leveraging the broad bandwidth of MZIs, effectively adding an additional computational dimension to MZI mesh‐based MVM networks. The MZI switches are optimized for low phase error and wide bandwidth to alleviate the complexity of mesh programming and support a greater number of wavelengths. We experimentally demonstrate the mesh performing parallel MVM operations across multiple wavelengths through two applications: (1) multi‐channel analysis of clinical electrocardiogram (ECG) signals for cardiovascular risk prediction, achieving 93.8% accuracy in identifying sudden cardiac death risk; (2) parallel processing of segmented images enables edge extraction with significantly improved computational speed. This multi‐wavelength parallel MVM architecture overcomes key scalability limitations while offering a highly extensible pathway toward energy‐efficient, high‐throughput optical computing for advanced artificial neural applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI