Photonic reservoir computer based on frequency multiplexing

被引：22

作者：

Butschek, Lorenz ^{[1
]}

Akrout, Akram ^{[1
]}

Dimitriadou, Evangelia ^{[1
]}

Lupo, Alessandro ^{[1
]}

Haelterman, Marc ^{[2
]}

Massar, Serge ^{[1
]}

机构：

[1] Univ Libre Bruxelles, Lab Informat Quant, CP 224,Av FD Roosevelt 50, B-1050 Brussels, Belgium

[2] Univ Libre Bruxelles, OPERA Photon, CP 194-5,Av FD Roosevelt 50, B-1050 Brussels, Belgium

来源：

OPTICS LETTERS | 2022年 / 47卷 / 04期

关键词：

LARGE-SCALE;

D O I：

10.1364/OL.451087

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Reservoir computing is a brain-inspired approach for information processing, well suited to analog implementations. We report a photonic implementation of a reservoir computer that exploits frequency domain multiplexing to encode neuron states. The system processes 25 comb lines simultaneously (i.e., 25 neurons), at a rate of 20 MHz. We illustrate performances on two standard benchmark tasks: channel equalization and time series forecasting. We also demonstrate that frequency multiplexing allows output weights to be implemented in the optical domain, through optical attenuation. We discuss the perspectives for high-speed, high-performance, low-footprint implementations. (C) 2022 Optica Publishing Group

引用

页码：782 / 785

页数：4

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