Constructing exact representations of quantum many-body systems with deep neural networks

26 Feb 2018 Giuseppe Carleo Yusuke Nomura Masatoshi Imada

We develop a constructive approach to generate artificial neural networks representing the exact ground states of a large class of many-body lattice Hamiltonians. It is based on the deep Boltzmann machine architecture, in which two layers of hidden neurons mediate quantum correlations among physical degrees of freedom in the visible layer... (read more)

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Categories


  • DISORDERED SYSTEMS AND NEURAL NETWORKS
  • STATISTICAL MECHANICS
  • STRONGLY CORRELATED ELECTRONS
  • COMPUTATIONAL PHYSICS
  • QUANTUM PHYSICS