Recently there has been growing interest in using photonics to perform the linear algebra
operations of neuromorphic and quantum computing applications, aiming at harnessing …

The recent explosive compute growth, mainly fueled by the boost of artificial intelligence (AI)
and deep neural networks (DNNs), is currently instigating the demand for a novel computing …

Photonics-based computing approaches in combination with wavelength division
multiplexing offer a potential solution to modern data and bandwidth needs. This paper …

Every multi-input multi-output linear optical system can be deemed as a matrix multiplier that
carries out a desired transformation on the input optical information, such as imaging …

摘要光学神经网络是区别于冯· 诺依曼计算架构的一种高性能新型计算范式, 具有低延时,
低功耗, 大带宽以及并行信号处理等优势. 片上集成是光学神经网络微型化发展的一种典型方式 …

The integration of metasurfaces and optical waveguides is gradually attracting the attention
of researchers because it allows for more efficient manipulation and guidance of light …

The energy demanding nature of deep learning (DL) has fueled the immense attention for
neuromorphic architectures due to their ability to operate in a very high frequencies in a very …

Deep learning has revolutionized many sectors of industry and daily life, but as application
scale increases, performing training and inference with large models on massive datasets is …

Optical neural networks (ONNs) have been considered as an alternative solution to
overcome the arithmetic and energy bottlenecks of electronic neural networks. However, the …

This paper presents an experimental demonstration of the photonic segment of a photonic-
electronic multiply accumulate neuron (PEMAN) architecture, employing a silicon photonic …