Research in photonic computing has flourished due to the proliferation of optoelectronic
components on photonic integration platforms. Photonic integrated circuits have enabled …

Reservoir computing is a computational framework suited for temporal/sequential data
processing. It is derived from several recurrent neural network models, including echo state …

Computers based on physical systems are increasingly anticipated to overcome the
impending limitations on digital computer performance. One such computer is a coherent …

Polariton lasers emit coherent monochromatic light through a spontaneous emission
process. As a rare example of a system in which Bose–Einstein condensation and …

Understanding the fundamental relationships between physics and its information-
processing capability has been an active research topic for many years. Physical reservoir …

In today's age, companies employ machine learning to extract information from large
quantities of data. One of those techniques, reservoir computing (RC), is a decade old and …

The increasing demands on information processing require novel computational concepts
and true parallelism. Nevertheless, hardware realizations of unconventional computing …

Reservoir computing, originally referred to as an echo state network or a liquid state
machine, is a brain-inspired paradigm for processing temporal information. It involves …

Dynamic physical systems such as reservoir computing (RC) architectures show a great
prospect in temporal information processing, whereas hierarchical information processing …

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 …