Recent years have witnessed significant progress in quantum communication and quantum
internet with the emerging quantum photonic chips, whose characteristics of scalability …

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

Integrated photonic neural networks provide a promising platform for energy-efficient, high-
throughput machine learning with extensive scientific and commercial applications. Photonic …

Many breakthroughs in the laboratories often do not bridge the gap between research and
commercialization. However, silicon photonics bucked the trend, with industry observers …

Research in photonic computing has flourished due to the proliferation of optoelectronic
components on photonic integration platforms. Photonic integrated circuits have enabled …

Advanced machine learning models are currently impossible to run on edge devices such
as smart sensors and unmanned aerial vehicles owing to constraints on power, processing …

Quantum cryptography is arguably the fastest growing area in quantum information science.
Novel theoretical protocols are designed on a regular basis, security proofs are constantly …

Silicon photonics has emerged as a mature technology that is expected to play a key role in
critical emerging applications, including very high data rate optical communications …

Optical phase shifters constitute the fundamental building blocks that enable programmable
photonic integrated circuits (PICs)—the cornerstone of on-chip classical and quantum …

In recent years, optical modulators, photodetectors,(de) multiplexers, and heterogeneously
integrated lasers based on silicon optical platforms have been verified. The performance of …