Toward optical signal processing using photonic reservoir computing.
We propose photonic reservoir computing as a new approach to optical signal processing in the context of large scale pattern recognition problems. Photonic reservoir computing is a photonic implementation of the recently proposed reservoir computing concept, where the dynamics of a network of nonlinear elements are exploited to perform general signal processing tasks. In our proposed photonic implementation, we employ a network of coupled Semiconductor Optical Amplifiers (SOA) as the basic building blocks for the reservoir. Although they differ in many key respects from traditional software-based hyperbolic tangent reservoirs, we show using simulations that such a photonic reservoir can outperform traditional reservoirs on a benchmark classification task. Moreover, a photonic implementation offers the promise of massively parallel information processing with low power and high speed.
Vandoorne
Kristof
K
Dept. of Information Technology, Photonics Research Group, Ghent University-IMEC, Gent, Belgium. Kristof.Vandoorne@UGent.be
Dierckx
Wouter
W
Schrauwen
Benjamin
B
Verstraeten
David
D
Baets
Roel
R
Bienstman
Peter
P
Van Campenhout
Jan
J
D003198:Computer Simulation; D017076:Computer-Aided Design; D004867:Equipment Design; D019544:Equipment Failure Analysis; D008027:Light; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D055095:Optics and Photonics / Q000295:instrumentation*; D017785:Photons; D012542:Scattering, Radiation; D012666:Semiconductors; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*