Sensitivity of a Chaotic Logic Gate

Chaotic logic gates or ‘chaogates’ are a promising mixed-signal approach to designing universal computers. However, chaotic systems are exponentially sensitive to small perturbations, and the effects of noise can cause chaotic computers to fail. Here, we examine the sensitivity of a simulated chaogate to noise and other parameter variations (such as differences in supply voltage). We find that the regions in parameter space corresponding to chaotic dynamics coincide with the regions of maximum error in the computation. Further, this error grows exponentially with a maximum likelihood rate constant of 3.5 iterations of the chaotic map. As such, we discuss the fundamental challenges of chaotic computing, and suggest potential improvements. Our Python simulation methods are open-source and available at
https://github.com/Noeloikeau/chaogate
.