In recent years, the explosive development of artificial intelligence implementing by artificial
neural networks (ANNs) creates inconceivable demands for computing hardware. However …

Microwave photonic approaches for the generation of microwave signals have attracted
substantial attention in recent years, thanks to the significant advantages brought by …

摘要由于光传输具备高通量, 低延迟, 低能耗等优势, 光学神经网络有望应对目前人工智能技术
发展中所面临的能耗和计算效率的挑战, 成为近年来学术界和工业界的研究热点 …

A promising approach to achieve computational supremacy over the classical von Neumann
architecture explores classical and quantum hardware as Ising machines. The minimisation …

Photonic neural networks (PNNs) are proposed to balance the demands between a
substantial increase in computation ability and a decrease in computing power …

Microrings hold significant applications in optical analog computing and can be arranged in
an array to establish photonic weight banks for matrix–vector multiplication. However …

Spiking neural network is a kind of neuromorphic computing that is believed to improve the
level of intelligence and provide advantages for quantum computing. In this work, we …

In recent years, parity-time (PT) symmetry in optoelectronic systems has been widely
studied, due to its potential applications in lasers, sensors, topological networks, and other …

With the growing demand for electronic computing, data centers, and emerging artificial
intelligence applications, low latency and high energy efficiency are hard to ensure by …

Since the advent of the Internet, quantifying the relative importance of web pages is at the
core of search engine methods. According to one algorithm, PageRank, the worldwide web …