Matrix computation, as a fundamental building block of information processing in science
and technology, contributes most of the computational overheads in modern signal …

Confronted by the difficulties of the von Neumann bottleneck and memory wall, traditional
computing systems are gradually inadequate for satisfying the demands of future data …

Crystalline lithium niobate (LN) is an important optical material because of its broad
transmission window that spans from ultraviolet to mid-infrared and its large nonlinear and …

Graphene remains of great interest in biomedical applications because of biocompatibility.
Diseases relating to human senses interfere with life satisfaction and happiness. Therefore …

The explosion in the amount of information that is being processed is prompting the need for
new computing systems beyond existing electronic computers. Photonic computing is …

Surface plasmons in graphene provide a compelling strategy for advanced photonic
technologies thanks to their tight confinement, fast response and tunability. Recent …

Photonic integrated circuits (PICs) with rapid prototyping and reprogramming capabilities
promise revolutionary impacts on a plethora of photonic technologies. We report direct-write …

Nanophotonic devices, such as metasurfaces and silicon photonic components, have been
progressively demonstrated to be efficient and versatile alternatives to their bulky …

Miniaturized image classifiers are potential for revolutionizing their applications in optical
communication, autonomous vehicles, and healthcare. With subwavelength structure …

Optical computing and optical neural network have gained increasing attention in recent
years because of their potential advantages of parallel processing at the speed of light and …