In this day and age we are living in a world that completely relies on digital information
processing. According to Moore's law, digital computing power has been doubling every 18 …

This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …

Driven by the remarkable breakthroughs during the past decade, photonics neural networks
have experienced a revival. Here, we provide a general overview of progress over the past …

Neural networks have enabled many applications in artificial intelligence and neuromorphic
computing ranging from scientific computing, intelligent communications, security etc. Neural …

We show optical waves passing through a nanophotonic medium can perform artificial
neural computing. Complex information is encoded in the wavefront of an input light. The …

Neural networks are widely deployed models across many scientific disciplines and
commercial endeavors ranging from edge computing and sensing to large-scale signal …

Recent advances in neuromorphic computing have established a computational framework
that removes the processor-memory bottleneck evident in traditional von Neumann …

Recent investigations in neuromorphic photonics, ie neuromorphic architectures on
photonics platforms, have garnered much interest to enable high-bandwidth, low-latency …

Integrated photonic chips leverage the recent developments in integrated circuit technology,
along with the control and manipulation of light signals, to realize the integration of multiple …

We introduce $ Perceval $, an open-source software platform for simulating and interfacing
with discrete-variable photonic quantum computers, and describe its main features and …