Electro-Optical Hybrid Fourier Neural Network with Amplitude-Only Modulation
Zibo Hu, Mario Miscuglio, Shurui Li, Jonathan George, Puneet Gupta, Volker J. Sorger
Abstract
We demonstrate an electro-optical hybrid massively-parallel Fourier Neural Network exploiting Digital Micromirror Devices performing amplitude-only filtering, achieving ~10,000 2-Megapixel convolutions per second, preserving the inference accuracy level similar to phase-based approaches.
Topics & Concepts
Fourier transformComputer scienceAmplitudeArtificial neural networkModulation (music)OpticsMassively parallelAmplitude modulationPhase modulationDigital micromirror deviceFourier opticsPhase (matter)Frequency modulationArtificial intelligencePhysicsTelecommunicationsPhase noiseAcousticsBandwidth (computing)Quantum mechanicsParallel computingNeural Networks and Reservoir ComputingOptical Network TechnologiesPhotonic and Optical Devices