Distance between configurations in Markov chain Monte Carlo simulations

DOI10.1007/JHEP12(2017)001zbMath1383.81211arXiv1705.06097MaRDI QIDQ1707677

Naoya Umeda, Masafumi Fukuma, Nobuyuki Matsumoto

Publication date: 3 April 2018

Published in: Journal of High Energy Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1705.06097

zbMATH Keywords

stochastic processesAdS-CFT correspondencelattice QCDrandom systems

Mathematics Subject Classification ID

Two-dimensional field theories, conformal field theories, etc. in quantum mechanics (81T40) Applications of statistics to physics (62P35) Strong interaction, including quantum chromodynamics (81V05) Quantum field theory on lattices (81T25)

Related Items (1)

Emergence of AdS geometry in the simulated tempering algorithm

Cites Work

• Complex saddle points and the sign problem in complex Langevin simulation
• Combining the complex Langevin method and the generalized Lefschetz-thimble method
• Parallel tempering algorithm for integration over Lefschetz thimbles
• Application of a neural network to the sign problem via the path optimization method

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