Quantum information science offers inherently more powerful methods for communication,
computation, and precision measurement that take advantage of quantum superposition and …

Universal multiport interferometers, which can be programmed to implement any linear
transformation between multiple channels, are emerging as a powerful tool for both classical …

Artificial neural networks are computational network models inspired by signal processing in
the brain. These models have dramatically improved performance for many machine …

Integrated quantum photonic applications, providing physically guaranteed communications
security, subshot-noise measurement, and tremendous computational power, are nearly …

This book sets out to build bridges between the domains of photonic device physics and
neural networks, providing a comprehensive overview of the emerging field of" …

Over the last 20 years quantum walks (QWs) have gained increasing interest in the field of
quantum information science and processing. In contrast to classical walkers, quantum …

On-chip integration of quantum optical systems could be a major factor enabling photonic
quantum technologies. Unlike the case of electronics, where the essential device is the …

Integrated photonics has enabled much progress toward quantum technologies. Many
applications, eg, quantum communication, sensing, and distributed cloud quantum …

An optical neural network is constructed based on photonic integrated circuits to perform
neuromorphic computing. In the optical neural network, matrix multiplication is imple mented …

We investigate two-photon quantum interference in an opaque scattering medium that
intrinsically supports a large number of transmission channels. By adaptive spatial phase …