Asymmetrical performance of a laser-based reservoir computer with optoelectronic feedback

被引：12

作者：

Dmitriev, P. S. ^{[1
]}

Kovalev, A., V ^{[1
]}

Locquet, A. ^{[2
,3
]}

Rontani, D. ^{[4
,5
]}

Viktorov, E. A. ^{[1
]}

机构：

[1] ITMO Univ, St Petersburg 199034, Russia

[2] Georgia Tech Lorraine, Georgia Tech CNRS UMI 2958, F-57070 Metz, France

[3] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA

[4] CentraleSupelec, LMOPS EA Lab 4423, F-57070 Metz, France

[5] Univ Lorraine, F-57070 Metz, France

来源：

OPTICS LETTERS | 2020年 / 45卷 / 22期

关键词：

D O I：

10.1364/OL.405177

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

We numerically quantify the performance of a photonic reservoir computer based on a semiconductor laser subject to high-pass filtered optoelectronic feedback. We assess its memory capacity, computational ability, and performance in solving a multi-step prediction task. By analyzing the complex bifurcation landscape of the corresponding delay-differential equation model, we observe that optimal performance occurs at the edge of instability, at the onset of periodic regimes, and unveil a parity asymmetry in the performance with a slight advantage for positive over negative feedback. (C) 2020 Optical Society of America

引用

页码：6150 / 6153

页数：4

共 23 条

[1] Human action recognition with a large-scale brain-inspired photonic computer [J].

Antonik, Piotr ;

Marsal, Nicolas ;

Brunner, Daniel ;

Rontani, Damien .

NATURE MACHINE INTELLIGENCE, 2019, 1 (11) :530-537

[2] Information processing using a single dynamical node as complex system [J].

Appeltant, L. ;

Soriano, M. C. ;

Van der Sande, G. ;

Danckaert, J. ;

Massar, S. ;

Dambre, J. ;

Schrauwen, B. ;

Mirasso, C. R. ;

Fischer, I. .

NATURE COMMUNICATIONS, 2011, 2

[3]

Appeltant L., 2012, THESIS DR VRIJE U BR

[4] Photonic machine learning implementation for signal recovery in optical communications [J].

Argyris, Apostolos ;

Bueno, Julian ;

Fischer, Ingo .

SCIENTIFIC REPORTS, 2018, 8

[5] Information processing in echo state networks at the edge of chaos [J].

Boedecker, Joschka ;

Obst, Oliver ;

Lizier, Joseph T. ;

Mayer, N. Michael ;

Asada, Minoru .

THEORY IN BIOSCIENCES, 2012, 131 (03) :205-213

[6] Parallel photonic information processing at gigabyte per second data rates using transient states [J].

Brunner, Daniel ;

Soriano, Miguel C. ;

Mirasso, Claudio R. ;

Fischer, Ingo .

NATURE COMMUNICATIONS, 2013, 4

[7] Reinforcement learning in a large-scale photonic recurrent neural network [J].

Bueno, J. ;

Maktoobi, S. ;

Froehly, L. ;

Fischer, I. ;

Jacquot, M. ;

Larger, L. ;

Brunner, D. .

OPTICA, 2018, 5 (06) :756-760

[8] All-optical reservoir computing [J].

Duport, Francois ;

Schneider, Bendix ;

Smerieri, Anteo ;

Haelterman, Marc ;

Massar, Serge .

OPTICS EXPRESS, 2012, 20 (20) :22783-22795

[9] Numerical bifurcation analysis of delay differential equations using DDE-BIFTOOL [J].

Engelborghs, K ;

Luzyanina, T ;

Roose, D .

ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE, 2002, 28 (01) :1-21

[10]

Erneux T., 2010, Laser dynamics

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