Schematic of chaotic computing model. Inputs are mapped to an initial condition of the chaotic system working as a computing engine, and the final state of the chaotic system is decoded to output.
(Color online) Chua circuit-based logic block (Ref. 19).
(Color online) Statistical measures, mean and variance, of the error in estimating robustness of different instructions against noise. The error is the difference between the estimated SNR and the experimental SNR for each instruction. The mean of these errors at each iteration is reported in the left panel, and the variance of the error at each iteration is presented in right panel. The solid lines denote cases where, for (p − 1) iterations of the map, period p UPOs are used for modeling. Dashed lines denote the means and variances when period-7 UPOs are used for predicting the SNR. Dotted lines show the means and variances of the difference r, where linearization is performed along each orbit.
Instruction set of the logistic map for different iteration numbers obtained from a time series.
Truth table of a typical two input, one output function.
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