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
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