Laser networks for reservoir computing: How can we optimize the performance?

Andre Röhm; Kathy Lüdge

doi:10.1364/NLO.2019.NTh1A.4

Nonlinear Optics (NLO)
OSA Technical Digest (Optica Publishing Group, 2019),
paper NTh1A.4
•https://doi.org/10.1364/NLO.2019.NTh1A.4

Laser networks for reservoir computing: How can we optimize the performance?

Andre Röhm and Kathy Lüdge

Nonlinear Optics 2019

Waikoloa Beach, Hawaii United States
15–19 July 2019
ISBN: 978-1-943580-62-0

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Machine Learning and Nonlinear Optics (NTh1A)

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A. Röhm and K. Lüdge, "Laser networks for reservoir computing: How can we optimize the performance?," in Nonlinear Optics (NLO), OSA Technical Digest (Optica Publishing Group, 2019), paper NTh1A.4.

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Abstract

We explore fundamental aspects of reservoir computing with laser networks from the perspective of nonlinear dynamics. The role of the effective phase-space dimension as well as the information injection routine are investigated with numerical methods.

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