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Wavelength dimension in waveguide-based photonic reservoir computing

Emmanuel Gooskens, Floris Laporte, Chonghuai Ma, Stijn Sackesyn, Joni Dambre, Peter Bienstman

2022Optics Express22 citationsDOIOpen Access PDF

Abstract

Existing work on coherent photonic reservoir computing (PRC) mostly concentrates on single-wavelength solutions. In this paper, we discuss the opportunities and challenges related to exploiting the wavelength dimension in integrated photonic reservoir computing systems. Different strategies are presented to be able to process several wavelengths in parallel using the same readout. Additionally, we present multiwavelength training techniques that allow to increase the stable operating wavelength range by at least a factor of two. It is shown that a single-readout photonic reservoir system can perform with ≈0% BER on several WDM channels in parallel for bit-level tasks and nonlinear signal equalization. This even when taking manufacturing deviations and laser wavelength drift into account.

Topics & Concepts

PhotonicsReservoir computingWavelengthComputer scienceOpticsWavelength-division multiplexingDimension (graph theory)WaveguideOptoelectronicsPhysicsMathematicsRecurrent neural networkPure mathematicsMachine learningArtificial neural networkNeural Networks and Reservoir ComputingOptical Network TechnologiesAdvanced Memory and Neural Computing
Wavelength dimension in waveguide-based photonic reservoir computing | Litcius