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Optical Computing. Joseph Clarkson. Advantages of Optical Computing. Massive parallelism Spectral domain representations Ultra fast Volume holographic storage. Areas of Research. Optical learning architectures Optical processing of advanced radar Acousto-optic switch
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Optical Computing Joseph Clarkson
Advantages of Optical Computing • Massive parallelism • Spectral domain representations • Ultra fast • Volume holographic storage
Areas of Research • Optical learning architectures • Optical processing of advanced radar • Acousto-optic switch • Optical logic circuits • Dynamic organic hologram • Synthetic aperture radar processing
Optical Learning Architectures • Emulation of neural networks • Circuits with photodetectors and light modulators • Synapses are dynamic holographic interconnection gratings
Optical Learning Architectures - Results • Back propagation and competitive learning successfully implemented • First self-aligning holographic multi-layer neural networks • First winner-take-all VLSI/liquid crystal modulator array
Optical Processing of Advanced Radar • Processing wide-bandwidth data from large phased array radars • Nearly intractable for conventional digital signal processors • Use dynamic volume holograms • Implemented an adaptive phased-array radar optical processor with photorefractive crystals
Acousto-optic Switch • Mechanical switches are too slow for routing signals in optical fibers • Light is diffracted from each fiber to desired destination fiber • Low loss
Optical Logic Circuits • Optical computers must have a fundamental logic gate • Based on interaction between optical solitons • Energy-efficient and ultra-fast NOR gate
Dynamic Organic Hologram • Photorefractive crystals are expensive and limited in size • Reversible photochemical effects in dye molecules suspended in polymer hosts
Synthetic Aperture Radar Processing • Microwave hologram of the illuminated area • Real-time processing of imaging • Capable of automatic target recognition
Conclusions • High performance information processing systems • Fast parallel computation • Massive data storage • Energy efficient