Information Processing Using Transient Dynamics of Semiconductor Lasers Subject to Delayed Feedback

The increasing amount of data being generated in different areas of science and technology require novel and efficient techniques of processing, going beyond traditional concepts. In this paper, we numerically study the information processing capabilities of semiconductor lasers subject to delayed o...

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Bibliographic Details
Published inIEEE journal of selected topics in quantum electronics Vol. 19; no. 4; p. 1501610
Main Authors Hicke, K., Escalona-Moran, M. A., Brunner, D., Soriano, M. C., Fischer, I., Mirasso, C. R.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.07.2013
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptive optics
Delay systems
information processing
Laser feedback
Laser modes
machine learning
Optical feedback
Optical polarization
Reservoirs
Semiconductor lasers
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Summary:The increasing amount of data being generated in different areas of science and technology require novel and efficient techniques of processing, going beyond traditional concepts. In this paper, we numerically study the information processing capabilities of semiconductor lasers subject to delayed optical feedback. Based on the recent concept of reservoir computing, we show that certain tasks, which are inherently hard for traditional computers, can be efficiently tackled by such systems. Major advantages of this approach comprise the possibility of simple and low-cost hardware implementation of the reservoir and ultrafast processing speed. Experimental results corroborate the numerical predictions.
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ISSN:1077-260X
1558-4542
DOI:10.1109/JSTQE.2013.2241738