<? pag\vskip-16pt?> Harnessing linear and angular momenta of light is one of the
cornerstones in modern optics and has found tremendous applications in optical circuits …

In this short review article, we aim to provide physicists not working within the quantum
computing community a hopefully easy-to-read introduction to the state of the art in the field …

Electronically reprogrammable photonic circuits based on phase-change chalcogenides
present an avenue to resolve the von-Neumann bottleneck; however, implementation of …

Abstract Machine learning technologies have been extensively applied in high-performance
information-processing fields. However, the computation rate of existing hardware is …

Computing is a critical driving force in the development of human civilization. In recent years,
we have witnessed the emergence of intelligent computing, a new computing paradigm that …

Artificial intelligence has prevailed in all trades and professions due to the assistance of big
data resources, advanced algorithms, and high-performance electronic hardware. However …

The simultaneous advances in artificial neural networks and photonic integration
technologies have spurred extensive research in optical computing and optical neural …

Complex-valued neural networks process both amplitude and phase information, in contrast
to conventional artificial neural networks, achieving additive capabilities in recognizing …

Convolutional neural networks are an important category of deep learning, currently facing
the limitations of electrical frequency and memory access time in massive data processing …

Advancements in optical coherence control,,,–have unlocked many cutting-edge
applications, including long-haul communication, light detection and ranging (LiDAR) and …