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Autonomous Probabilistic Coprocessing with Petaflips per Second
2020
IEEE Access
In this paper we present a concrete design for a probabilistic (p-) computer based on a network of p-bits, robust classical entities fluctuating between -1 and +1, with probabilities that are controlled through an input constructed from the outputs of other p-bits. The architecture of this probabilistic computer is similar to a stochastic neural network with the p-bit playing the role of a binary stochastic neuron, but with one key difference: there is no sequencer used to enforce an ordering
doi:10.1109/access.2020.3018682
fatcat:cjdt6ebo65fexlgiigv2bsrhza