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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 16, Iss. 15 — Jul. 21, 2008
  • pp: 11182–11192

Toward optical signal processing using Photonic Reservoir Computing

Kristof Vandoorne, Wouter Dierckx, Benjamin Schrauwen, David Verstraeten, Roel Baets, Peter Bienstman, and Jan Van Campenhout  »View Author Affiliations

Optics Express, Vol. 16, Issue 15, pp. 11182-11192 (2008)

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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.

© 2008 Optical Society of America

OCIS Codes
(190.4390) Nonlinear optics : Nonlinear optics, integrated optics
(200.4700) Optics in computing : Optical neural systems
(250.5980) Optoelectronics : Semiconductor optical amplifiers

ToC Category:
Optics in computing

Original Manuscript: May 8, 2008
Revised Manuscript: June 27, 2008
Manuscript Accepted: July 9, 2008
Published: July 10, 2008

Kristof Vandoorne, Wouter Dierckx, Benjamin Schrauwen, David Verstraeten, Roel Baets, Peter Bienstman, and Jan Van Campenhout, "Toward optical signal processing using Photonic Reservoir Computing," Opt. Express 16, 11182-11192 (2008)

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