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...
Main Authors: | Nagai, Yuki, Shen, Huitao, Qi, Yang, Liu, Junwei, Fu, Liang |
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Other Authors: | Massachusetts Institute of Technology. Department of Physics |
Format: | Article |
Language: | English |
Published: |
American Physical Society
2018
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Online Access: | http://hdl.handle.net/1721.1/114482 https://orcid.org/0000-0001-8051-7349 https://orcid.org/0000-0002-8803-1017 |
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