A polymer memristor probabilistic computer: four p-bits sample Bayesian posteriors in hardware, with statistics inside the finite-sample range of ideal samplers
Four probabilistic bits (p-bits, stochastic units that take 0 or 1 with a sigmoidal probability of their input) built from solution-processed conjugated-polymer memristors run a closed-loop Gibbs sampler with online drift tracking; on competing, degenerate and cooperative posteriors, both the sampled distribution and its autocorrelation fall inside the finite-sample range of ideal p-bits, with no parameter fitted to the target. Reprogrammed in software, the same circuit also reproduces the invertible AND gate, with temperature fixed in advance rather than fitted.