Bayesian Gates for Reliable Logical Operations under Noisy Condition

03/01/2017

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by   Tetsuya J. Kobayashi, et al.

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The reliability of logical operations is indispensable for the reliable operation of computational systems. Since the down-sizing of micro-fabrication generates non-negligible noise in these systems, a new approach for designing noise-immune gates is required. In this paper, we demonstrate that noise-immune gates can be designed by combining Bayesian inference theory with the idea of computation over a noisy signal. To reveal their practical advantages, the performance of these gates is evaluated in comparison with a stochastic resonance-based gate proposed previously. This approach for computation is also demonstrated to be better than a conventional one that conducts information transmission and computation separately.