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Outer product processor using polarization encoding

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Abstract

An architecture capable of performing the outer product operation followed by a weighting of the resultant is presented in this paper. By using a polarization encoding technique, the spatial capacity is elements increased by a factor of four over implementations using other techniques. The use of space-integrating photodiodes as detectors permits the evaluation of second-order polynomials. Spatial multiplexing allows the architecture greater versatility in performing a large number of operations in parallel. The primary application discussed here using this architecture is a quadratic neural network.

© 1990 Optical Society of America

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