Sample-efficient learning of quantum many-body systems

15 Apr 2020Anurag AnshuSrinivasan ArunachalamTomotaka KuwaharaMehdi Soleimanifar

We study the problem of learning the Hamiltonian of a quantum many-body system given samples from its Gibbs (thermal) state. The classical analog of this problem, known as learning graphical models or Boltzmann machines, is a well-studied question in machine learning and statistics... (read more)

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