NEURAL NETWORKS AS A BASIS FOR QUANTUM ASSOCIATIVE NETWORKS MITJA PERUŠ Institute BION , Stegne 21 , SLO-1000 Ljubljana , Slovenia mitja

We have got a lot of experience with computer simulations of Hopfield’s and holographic neural net models. Starting with these models, an analogous quantum information processing system, called quantum associative network, is presented in this article. It was obtained by translating an associative neural net model into the mathematical formalism of quantum theory in order to enable microphysical implementation of associative memory and pattern recognition. In a case of successful quantum implementation of the model, expected benefits would be significant increase in speed, in miniaturization, in efficiency of performance, and in memory capacity, mainly because of additionally exploiting quantum-phase encoding.

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