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Biased Monte Carlo algorithms on unitary groups
Phys. Rev. D 39, 689 – Published 15 January, 1989
DOI: https://doi.org/10.1103/PhysRevD.39.689
Abstract
We introduce a general updating scheme for the simulation of physical systems defined on unitary groups, which eliminates the systematic errors due to inexact exponentiation of algebra elements. The essence is to work directly with group elements for the stochastic noise. Particular cases of the scheme include the algorithm of Metropolis et al., overrelaxation algorithms, and globally corrected Langevin and hybrid algorithms. The latter are studied numerically for the case of SU(3) theory.
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