Asynchronous photonic time-delay reservoir computing

Time-delay reservoir computing uses a nonlinear node associated with a feedback loop to construct a large number of virtual neurons in the neural network. The clock cycle of the computing network is usually synchronous with the delay time of the feedback loop, which substantially constrains the flex...

Full description

Saved in:
Bibliographic Details
Published in:Optics express 2023-01, Vol.31 (2), p.2456-2466
Main Authors: Tang, Jia-Yan, Lin, Bao-De, Shen, Yi-Wei, Li, Rui-Qian, Yu, Jingyi, He, Xuming, Wang, Cheng
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Time-delay reservoir computing uses a nonlinear node associated with a feedback loop to construct a large number of virtual neurons in the neural network. The clock cycle of the computing network is usually synchronous with the delay time of the feedback loop, which substantially constrains the flexibility of hardware implementations. This work shows an asynchronous reservoir computing network based on a semiconductor laser with an optical feedback loop, where the clock cycle (20 ns) is considerably different to the delay time (77 ns). The performance of this asynchronous network is experimentally investigated under various operation conditions. It is proved that the asynchronous reservoir computing shows highly competitive performance on the prediction task of Santa Fe chaotic time series, in comparison with the synchronous counterparts.
ISSN:1094-4087
1094-4087
DOI:10.1364/OE.478728