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Recent Developments of World-Line Monte Carlo Methods

2003/12/31 by Naoki Kawashima, Kenji Harada · 7 citations
Mathematics · Physics and Astronomy · #Advanced Chemical Physics Studies #Algorithm #Artificial intelligence #Computer science #Hybrid Monte Carlo #Line (geometry) #Loop (graph theory) #Markov chain Monte Carlo #Mathematics #Monte Carlo algorithm #Monte Carlo method #Monte Carlo method in statistical physics #Perspective (graphical) #Physics #Quantum Monte Carlo #Spectroscopy and Quantum Chemical Studies #Statistical physics #Statistics #Theoretical and Computational Physics #Theoretical physics #World line #cond-mat.dis-nn

paper · pdf · doi:10.1143/jpsj.73.1379

published as J. Phys. Soc. Jpn. 73, 1379 (2004) · To appear in Journal of Physical Society of Japan

arxiv created 2004/04/29 · openalex publication_date 2004/06/15 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

World-line quantum Monte Carlo methods are reviewed with an emphasis on breakthroughs made in recent years. In particular, three algorithms -- the loop algorithm, the worm algorithm, and the directed-loop algorithm -- for updating world-line configurations are presented in a unified perspective. Detailed descriptions of the algorithms in specific cases are also given.

Citations

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