On-chip photonic neural networks (PNN) are emerging as an attractive solution for artificial
neural networks due to their high computing density, low energy consumption, and compact …

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 …

Optical neural networks (ONNs) have gained significant attention due to their potential for
high-speed and energy-efficient computation in artificial intelligence. The implementation of …

In the rapidly evolving field of artificial intelligence, integrated photonic computing has
emerged as a promising solution to address the growing demand for high-performance …

Convolutional neural networks are a powerful category of artificial neural networks that can
extract features from raw data to provide greatly reduced parametric complexity and …

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 …

Photonics holds the physical potential for achieving both high-speed and low-consumption
matrix multiplication. Nonetheless, due to the insertion loss of optical phase shifters and the …

Matrix multiplication acceleration by on-chip photonic integrated circuits (PICs) is emerging
as one of the attractive and promising solutions, offering outstanding benefits in speed and …

Photonic neural networks (PNNs), as emerging analog computing paradigms, have the
potential to break both the power consumption wall and processing speed boundary of …

On-chip diffractive optical neural networks (DONNs) bring the advantages of parallel
processing and low energy consumption. However, an accurate representation of the optical …