Impact of coupling topology upon noise robustness of small optical reservoirs

Tian You Cheng, Ching Chuan Liu, Da Ya Jhou, Chii Chang Chen

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this work, we perform the numerical investigation of the performance of the small optical reservoir computing (RC) systems with four neurons using the commercial software for optical fiber communication system. The small optical RC system consists of the components of the optical fiber communication. The nonlinear function which is required in RC is provided by the erbium-doped optical fiber amplifiers (EDFA). We demonstrate that the EDFA should be operated in the saturated or non-linear regime to obtain a better performance of the small optical RC system. The performance of the small optical RC systems for different topological neuron structures is investigated. The results show that the interconnection between the neurons could offer a better performance than the systems without interconnection between the neurons. Moreover, the input signals with different noise levels are launched into the systems. The results show that the small optical RC system can classify the noisy input optical waveforms even when the signal-to-noise ratio is as low as − 2.55 dB.

Original languageEnglish
Article number14086
JournalScientific Reports
Volume10
Issue number1
DOIs
StatePublished - 1 Dec 2020

Fingerprint

Dive into the research topics of 'Impact of coupling topology upon noise robustness of small optical reservoirs'. Together they form a unique fingerprint.

Cite this