Machine learning of quantum phase transitions

@article{Dong2019MachineLO,
  title={Machine learning of quantum phase transitions},
  author={Xiao-yu Dong and F. Pollmann and Xue-Feng Zhang},
  journal={Physical Review B},
  year={2019}
}
Machine learning algorithms provide a new perspective on the study of physical phenomena. In this paper, we explore the nature of quantum phase transitions using multi-color convolutional neural-network (CNN) in combination with quantum Monte Carlo simulations. We propose a method that compresses $d+1$ dimensional space-time configurations to a manageable size and then use them as the input for a CNN. We test our approach on two models and show that both continuous and discontinuous quantum… 
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