Abstract

The goal of this work is to develop a fast, Bayesian Probabilistic Computing model [1],[2] that exploits the induced causality of clocking to arrive at a model with the minimum possible complexity. The probabilities directly model the quantum-mechanical steady-state probabilities (density matrix) or equivalently, the cell polarizations. The attractive feature of this model is that not only does it model the strong dependencies among the cells, but it can be used to compute the steady state cell polarizations, without ...