2022/02/15 by Noeloikeau Charlot, Charlot, Noeloikeau, Daniel J. Gauthier +1
Computer Science · Physics and Astronomy · #Chaotic Dynamics (nlin.CD) #FOS: Computer and information sciences #FOS: Physical sciences #Hardware Architecture (cs.AR) #Logic in Computer Science (cs.LO) #cs.AR #cs.LO #nlin.CD
paper · pdf · doi:10.48550/arxiv.2202.07617
arxiv created 2022/02/15 · arxiv updated 2022/02/16
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 within 4-10 iterations of the chaotic map. As such, we discuss the fundamental limitations of chaotic computing, and suggest potential improvements. Our Python simulation methods are open-source and available at https://github.com/Noeloikeau/chaogate.