We review a novel paradigm that has emerged in analogue neuromorphic optical
computing. The goal is to implement a reservoir computer in optics, where information is …

This paper reviews some recent progress in the field of neuromorphic photonics, with a
particular focus on scalability. We provide a framework for understanding the underlying …

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" …

The rapid development of artificial intelligence (AI) facilitates various applications from all
areas but also poses great challenges in its hardware implementation in terms of speed and …

Recently, there has been tremendous interest in excitable optoelectronic devices and in
particular excitable semiconductor lasers that could potentially enable unconventional …

The construction of a quantum computer remains a fundamental scientific and technological
challenge because of the influence of unavoidable noise. Quantum states and operations …

Neuromorphic photonics has experienced a recent surge of interest over the last few years,
promising orders of magnitude improvements in both speed and energy efficiency over …

We propose an original design for a neuron-inspired photonic computational primitive for a
large-scale, ultrafast cognitive computing platform. The laser exhibits excitability and …

As society's appetite for information continues to grow, so does our need to process this
information with increasing speed and versatility. Many believe that the one-size-fits-all …

In today's data-driven world, the ability to process large data volumes is crucial. Key tasks,
such as pattern recognition and image classification, are well suited for artificial neural …