Nanoscale Resonance Energy Transfer-Based Devices for Probabilistic Computing


Despite the theoretical advances in probabilistic computing, a fundamental mismatch persists between the deterministic hardware that ancient computers use and also the stochastic nature of probabilistic algorithms. In this text, the authors propose Resonance Energy Transfer (RET) between chromophores as an enabling technology for probabilistic computing useful units. As a natural continuous-time Markov chain, RET networks can physically implement efficient samplers with arbitrary probability distributions and have great potential for accelerating probabilistic algorithms.

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