Unitary optical processors (UOPs) are task-specific computing units that can ultimately
enable ultrafast and energy-efficient unitary matrix-vector multiplications based on the …

Waveguide lattices offer a compact and stable platform for a range of applications, including
quantum walks, condensed matter system simulation, and classical and quantum …

Programmable optical circuits are an important tool in developing quantum technologies
such as transceivers for quantum communication and integrated photonic chips for quantum …

Programmable unitary photonic devices are emerging as promising tools to implement
unitary transformation for quantum information processing, machine learning, and optical …

Over the past 2 decades, researches in artificial neural networks (ANNs) and deep learning
have flourished and enabled the applications of artificial intelligence (AI) in image …

Multi-plane light conversion (MPLC) has recently been developed as a versatile tool for
manipulating spatial distributions of the optical field through repeated phase modulations …

Photonic integrated circuits (PICs) are emerging as a promising tool for accelerating matrix
multiplications in deep learning. Previous PIC architectures, primarily focusing on the matrix …

It is recently shown that discrete N?×? N linear unitary operators can be represented by
interlacing N?+? 1 phase shift layers with a fixed intervening operator such as discrete …

Quantum computers can revolutionize science and technology, but their realization remains
challenging across all platforms. A promising route to scalability is photonic measurement …

Multimode optical fibers support the dense, low-loss transmission of many spatial modes,
making them attractive for technologies such as communications and imaging. However …