optical computing

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Optical Computing Optical Computing Joseph Clarkson

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  • Optical ComputingJoseph Clarkson

  • Advantages of Optical ComputingMassive parallelismSpectral domain representationsUltra fastVolume holographic storage

  • Areas of ResearchOptical learning architecturesOptical processing of advanced radarAcousto-optic switchOptical logic circuitsDynamic organic hologramSynthetic aperture radar processing

  • Optical Learning ArchitecturesEmulation of neural networksCircuits with photodetectors and light modulatorsSynapses are dynamic holographic interconnection gratings

  • Optical Learning Architectures - ResultsBack propagation and competitive learning successfully implementedFirst self-aligning holographic multi-layer neural networksFirst winner-take-all VLSI/liquid crystal modulator array

  • Optical Processing of Advanced RadarProcessing wide-bandwidth data from large phased array radarsNearly intractable for conventional digital signal processorsUse dynamic volume hologramsImplemented an adaptive phased-array radar optical processor with photorefractive crystals

  • Acousto-optic SwitchMechanical switches are too slow for routing signals in optical fibersLight is diffracted from each fiber to desired destination fiberLow loss

  • Optical Logic CircuitsOptical computers must have a fundamental logic gateBased on interaction between optical solitonsEnergy-efficient and ultra-fast NOR gate

  • Light Bullet Dragging

  • Dynamic Organic HologramPhotorefractive crystals are expensive and limited in sizeReversible photochemical effects in dye molecules suspended in polymer hosts

  • Synthetic Aperture Radar ProcessingMicrowave hologram of the illuminated areaReal-time processing of imagingCapable of automatic target recognition

  • ConclusionsHigh performance information processing systemsFast parallel computationMassive data storageEnergy efficient