Solving frustrated quantum many-particle models with convolutional neural networks
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DOI: 10.1103/physrevb.98.104426
Abstract: Recently, there has been significant progress in solving quantum many-particle problem via machine learning based on the restricted Boltzmann machine. However, it is still highly challenging to solve frustrated models via machine learning, which has… read more here.
Keywords: machine; frustrated quantum; quantum many; convolutional neural ... See more keywords