Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing

Many information processing challenges are difficult to solve with traditional Turing or von Neumann approaches. Implementing unconventional computational methods is therefore essential and optics provides promising opportunities. Here we experimentally demonstrate optical information processing usi...

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Bibliographic Details
Published inOptics express Vol. 20; no. 3; pp. 3241 - 3249
Main Authors Larger, L., Soriano, M. C., Brunner, D., Appeltant, L., Gutierrez, J. M., Pesquera, L., Mirasso, C. R., Fischer, I.
Format Journal Article
LanguageEnglish
Published United States Optical Society of America - OSA Publishing 30.01.2012
Subjects
Biomimetic Materials
Computer-Aided Design
Computers
Electronics - instrumentation
Engineering Sciences
Equipment Design
Equipment Failure Analysis
Optical Devices
Optics
Oscillometry - instrumentation
Photonic
Photons
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Summary:Many information processing challenges are difficult to solve with traditional Turing or von Neumann approaches. Implementing unconventional computational methods is therefore essential and optics provides promising opportunities. Here we experimentally demonstrate optical information processing using a nonlinear optoelectronic oscillator subject to delayed feedback. We implement a neuro-inspired concept, called Reservoir Computing, proven to possess universal computational capabilities. We particularly exploit the transient response of a complex dynamical system to an input data stream. We employ spoken digit recognition and time series prediction tasks as benchmarks, achieving competitive processing figures of merit.
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ISSN:1094-4087
1094-4087
DOI:10.1364/OE.20.003241