抄録
Reservoir computing (RC), which is a computational paradigm that uses dynamical systems, is a powerful
tool for solving highly complex and abstract computational tasks. RC has recently been implemented
in a variety of physical systems, including photonic systems. This article introduces its fundamental
concepts and recent advances in its optical implementation. As relevant topics, optical implementations
of extreme learning machine and deep learning are also discussed.
