Photonic information processing at 20GS/s rates based on semiconductor lasers with delayed optical feedback

Julián Bueno; Daniel Brunner; Miguel C. Soriano; Ingo Fischer

doi:10.1109/CLEOE-EQEC.2017.8086565

Photonic information processing at 20GS/s rates based on semiconductor lasers with delayed optical feedback

Julián Bueno, Daniel Brunner, Miguel C. Soriano, Ingo Fischer

Institute Of Photonics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Abstract

Photonic implementations of novel information processing schemes based on machine learning approaches like reservoir computing (RC) [1] have raised strong interest in the last years due to their speed and performance. A reservoir computer, conceptionally as simple as a semiconductor laser with delayed optical feedback already proved excellent performance at 5 GSamples/s rates thanks to its nonlinear responses in the GHz regime [2]. Reported bandwidths of 80GHz of semiconductor laser with optical injection [3] open the possibility of realizing photonic reservoir computers based on semiconductor lasers at high speeds. The study of the properties of the system and their impact on the RC performance is crucial to better understand the underlying physics, improve designs and tailor systems for specific tasks.

Original language	English
Title of host publication	2017 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Number of pages	1
ISBN (Electronic)	9781509067367
DOIs	https://doi.org/10.1109/CLEOE-EQEC.2017.8086565
Publication status	Published - 30 Oct 2017
Event	The European Conference on Lasers and Electro-Optics, CLEO_Europe 2017 - Munich, Germany Duration: 25 Jun 2017 → 29 Jun 2017

Conference

Conference	The European Conference on Lasers and Electro-Optics, CLEO_Europe 2017
Country/Territory	Germany
City	Munich
Period	25/06/17 → 29/06/17

Keywords

laser feedback
learning (artificial intelligence)
optical computing
semiconductor lasers

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10.1109/CLEOE-EQEC.2017.8086565

Cite this

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title = "Photonic information processing at 20GS/s rates based on semiconductor lasers with delayed optical feedback",

abstract = "Photonic implementations of novel information processing schemes based on machine learning approaches like reservoir computing (RC) [1] have raised strong interest in the last years due to their speed and performance. A reservoir computer, conceptionally as simple as a semiconductor laser with delayed optical feedback already proved excellent performance at 5 GSamples/s rates thanks to its nonlinear responses in the GHz regime [2]. Reported bandwidths of 80GHz of semiconductor laser with optical injection [3] open the possibility of realizing photonic reservoir computers based on semiconductor lasers at high speeds. The study of the properties of the system and their impact on the RC performance is crucial to better understand the underlying physics, improve designs and tailor systems for specific tasks.",

keywords = "laser feedback, learning (artificial intelligence), optical computing, semiconductor lasers",

author = "Juli{\'a}n Bueno and Daniel Brunner and Soriano, {Miguel C.} and Ingo Fischer",

year = "2017",

month = oct,

day = "30",

doi = "10.1109/CLEOE-EQEC.2017.8086565",

language = "English",

booktitle = "2017 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)",

publisher = "IEEE",

note = "The European Conference on Lasers and Electro-Optics, CLEO_Europe 2017 ; Conference date: 25-06-2017 Through 29-06-2017",

}

Bueno, J, Brunner, D, Soriano, MC & Fischer, I 2017, Photonic information processing at 20GS/s rates based on semiconductor lasers with delayed optical feedback. in 2017 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC). IEEE, Piscataway, NJ, The European Conference on Lasers and Electro-Optics, CLEO_Europe 2017, Munich, Germany, 25/06/17. https://doi.org/10.1109/CLEOE-EQEC.2017.8086565

Photonic information processing at 20GS/s rates based on semiconductor lasers with delayed optical feedback. / Bueno, Julián; Brunner, Daniel; Soriano, Miguel C. et al.
2017 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC). Piscataway, NJ: IEEE, 2017.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Photonic information processing at 20GS/s rates based on semiconductor lasers with delayed optical feedback

AU - Bueno, Julián

AU - Brunner, Daniel

AU - Soriano, Miguel C.

AU - Fischer, Ingo

PY - 2017/10/30

Y1 - 2017/10/30

N2 - Photonic implementations of novel information processing schemes based on machine learning approaches like reservoir computing (RC) [1] have raised strong interest in the last years due to their speed and performance. A reservoir computer, conceptionally as simple as a semiconductor laser with delayed optical feedback already proved excellent performance at 5 GSamples/s rates thanks to its nonlinear responses in the GHz regime [2]. Reported bandwidths of 80GHz of semiconductor laser with optical injection [3] open the possibility of realizing photonic reservoir computers based on semiconductor lasers at high speeds. The study of the properties of the system and their impact on the RC performance is crucial to better understand the underlying physics, improve designs and tailor systems for specific tasks.

AB - Photonic implementations of novel information processing schemes based on machine learning approaches like reservoir computing (RC) [1] have raised strong interest in the last years due to their speed and performance. A reservoir computer, conceptionally as simple as a semiconductor laser with delayed optical feedback already proved excellent performance at 5 GSamples/s rates thanks to its nonlinear responses in the GHz regime [2]. Reported bandwidths of 80GHz of semiconductor laser with optical injection [3] open the possibility of realizing photonic reservoir computers based on semiconductor lasers at high speeds. The study of the properties of the system and their impact on the RC performance is crucial to better understand the underlying physics, improve designs and tailor systems for specific tasks.

KW - laser feedback

KW - learning (artificial intelligence)

KW - optical computing

KW - semiconductor lasers

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M3 - Conference contribution book

AN - SCOPUS:85039898196

BT - 2017 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)

PB - IEEE

CY - Piscataway, NJ

T2 - The European Conference on Lasers and Electro-Optics, CLEO_Europe 2017

Y2 - 25 June 2017 through 29 June 2017

ER -

Photonic information processing at 20GS/s rates based on semiconductor lasers with delayed optical feedback

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Keywords

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