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Photonic Reservoir Computing based on Optical Filters in a Loop as a High Performance and Low-Power Consumption Equalizer for 100 Gbaud Direct Detection Systems

Kostas Sozos, Adonis Bogris, Peter Bienstman, Charis Mesaritakis

202113 citationsDOI

Abstract

We propose and numerically simulate a passive neuromorphic processor performing equalization in C-band IM-DD links, that employs a spatial reservoir computing scheme based on recurrent optical filters. Followed by a feed forward equalizer, the system achieves sub HD-FEC performance up to 60km in 224 Gbps/λ.

Topics & Concepts

Equalization (audio)Computer scienceEqualizerPower consumptionPhotonicsOptical filterElectronic engineeringReservoir computingAdaptive equalizerLoop (graph theory)Neuromorphic engineeringFeedback loopAdaptive opticsScheme (mathematics)Power (physics)Decoding methodsOptoelectronicsEngineeringTelecommunicationsPhysicsOpticsChannel (broadcasting)Recurrent neural networkArtificial neural networkArtificial intelligenceMathematicsComputer securityQuantum mechanicsMathematical analysisCombinatoricsNeural Networks and Reservoir ComputingOptical Network TechnologiesAdvanced Memory and Neural Computing
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