A central goal in quantum optics and quantum information science is the development of
quantum networks to generate entanglement between distributed quantum memories …

Advances in photonic integrated circuits have recently enabled electrically reconfigurable
optical systems that can implement universal linear optics transformations on spatial mode …

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

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

Quantum computing has rapidly advanced in recent years due to substantial development in
both hardware and algorithms. These advances are carrying quantum computers closer to …

Environmental noise and disorder play critical roles in quantum particle and wave transport
in complex media, including solid-state and biological systems. While separately both effects …

This is a short overview explaining how building a large-scale, silicon-photonic quantum
computer has been reduced to the creation of good sources of 3-photon entangled states …

Programmable photonic circuits of reconfigurable interferometers can be used to implement
arbitrary operations on optical modes, providing a flexible platform for accelerating tasks in …

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" …

Applications of quantum walks can depend on the number, exchange symmetry and
indistinguishability of the particles involved, and the underlying graph structures where they …