Self-learning Monte Carlo method: Continuous-time algorithm

Self-learning Monte Carlo method: Continuous-time algorithm

The recently introduced self-learning Monte Carlo method is a general-purpose numerical method that speeds up Monte Carlo simulations by training an effective model to propose uncorrelated configurations in the Markov chain. We implement this method in the framework of a continuous-time Monte Carlo...

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Bibliographic Details
Main Authors: Nagai, Yuki (Contributor), Shen, Huitao (Contributor), Qi, Yang (Contributor), Liu, Junwei (Contributor), Fu, Liang (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Physics (Contributor)
Format: Article
Language:English
Published: American Physical Society, 2018-03-30T17:49:38Z.
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