Original paper
Sampling scheme for neuromorphic simulation of entangled quantum systems
Abstract
Due to the complexity of the space of quantum many-body states the computation of expectation values by statistical sampling is, in general, a hard task. Neural network representations of such quantum states which can be physically implemented by neuromorphic hardware could enable efficient sampling. A scheme is proposed which leverages this capability to speed up sampling from so-called neural quantum states encoded by a restricted Boltzmann...
Paper Details
Title
Sampling scheme for neuromorphic simulation of entangled quantum systems
Published Date
Nov 13, 2019
Volume
100
Issue
19
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