Neuromorphic Computing with Nonlinear Dynamics in Photonic Crystal Fiber

Abstract

Neuromorphic computing based on photonic nonlinear dynamics is gaining popularity, due to its low power consumption, as well as their scalability [1]. However, how nonlinearity scales with the network performance are rarely investigated. Here, we numerically investigate the performance of neuromorphic computing, using photonic crystal fiber as a reservoir media [2]. Photonic crystal fiber has a high nonlinearity and thus, capable to produce spectrum that ranges from linear propagation, up to octave spanning supercontinuum generation. © 2025 Elsevier B.V., All rights reserved.