Photonic neural networks benefit from the use of photons to perform intelligent inference
computing with ultrafast and ultralow energy consumption in ultra-high-throughput, providing …

Neuromorphic photonics is a cutting-edge fusion of neuroscience-inspired computing and
photonics technology to overcome the constraints of conventional computing architectures …

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 …

Realizing a multifunctional integrated photonic platform is one of the goals for future optical
information processing, which usually requires large size to realize due to multiple …

As a successful case of combining deep learning with photonics, the research on optical
machine learning has recently undergone rapid development. Among various optical …

Optical neural networks (ONNs) herald a new era in information and communication
technologies and have implemented various intelligent applications. In an ONN, the …

Multi-level programmable photonic integrated circuits (PICs) and optical metasurfaces have
gained widespread attention in many fields, such as neuromorphic photonics, optical …

The ability to manipulate light propagation sets the foundations for optical communication
and information processing systems. With the ever-growing data capacity and data rate …

Programmable photonic integrated circuits represent an emerging technology that
amalgamates photonics and electronics, paving the way for light-based information …

Most optical elements–be it refractive lenses, optical coatings, or glass fibers–have their
attributes fully defined once they are fabricated. Moving or swapping bulky parts often …