2017
DOI: 10.1103/physrevd.96.054504
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Fighting topological freezing in the two-dimensional CPN1 model

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Cited by 32 publications
(24 citation statements)
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“…A different strategy, that keeps the advantages of the open boundary conditions without breaking translation invariance, has been proposed by M. Hasenbusch in ref. [52], where it was tested for two dimensional CP N −1 models. The basic idea of this method is to combine periodic and open boundary conditions in a parallel tempering framework, using the copies with open or partially open boundary conditions as sources of topological fluctuations for the copy with periodic boundary conditions, which is the one on which measures are performed.…”
Section: Jhep03(2021)111mentioning
confidence: 99%
See 1 more Smart Citation
“…A different strategy, that keeps the advantages of the open boundary conditions without breaking translation invariance, has been proposed by M. Hasenbusch in ref. [52], where it was tested for two dimensional CP N −1 models. The basic idea of this method is to combine periodic and open boundary conditions in a parallel tempering framework, using the copies with open or partially open boundary conditions as sources of topological fluctuations for the copy with periodic boundary conditions, which is the one on which measures are performed.…”
Section: Jhep03(2021)111mentioning
confidence: 99%
“…To mitigate this problem, we adopt, in this work, the parallel tempering algorithm proposed for the CP N −1 models in ref. [52], where this algorithm has been shown to perform as well as simulations with open boundaries while bypassing their complications related to finite-size effects. Moreover, as shown for CP N −1 models in ref.…”
Section: Jhep03(2021)111mentioning
confidence: 99%
“…Given these premises it is natural to think that the critical slowing down of the topological susceptibility could be alleviated by using different boundary conditions, that do not constraint the winding number to be integer (or almost integer). This idea was put forward in [73], where the use of open boundary condition was suggested, and some interesting variations on the same theme can be found in [74,75].…”
Section: Variation 4: Open Boundary Conditionsmentioning
confidence: 99%
“…It is however well known that Monte Carlo algorithms typically used in numerical simulations suffer from a severe critical slowing down as the continuum limit is approached, with autocorrelation times of topological observables that grow about exponentially in the inverse of the lattice spacing [10][11][12][13]. This led to the development of new algorithms, specifically devised to improve the sampling of topologically nontrivial configuration [7,8,[14][15][16][17][18][19][20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%