Learning Thermodynamics with Boltzmann Machines

@article{Torlai2016LearningTW,
  title={Learning Thermodynamics with Boltzmann Machines},
  author={G. Torlai and R. Melko},
  journal={ArXiv},
  year={2016},
  volume={abs/1606.02718}
}
A Boltzmann machine is a stochastic neural network that has been extensively used in the layers of deep architectures for modern machine learning applications. In this paper, we develop a Boltzmann machine that is capable of modeling thermodynamic observables for physical systems in thermal equilibrium. Through unsupervised learning, we train the Boltzmann machine on data sets constructed with spin configurations importance sampled from the partition function of an Ising Hamiltonian at… Expand
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