2013
DOI: 10.1103/physreve.87.021301
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Path-integral Monte Carlo method for the localZ2Berry phase

Abstract: We present a loop cluster algorithm Monte Carlo method for calculating the local Z(2) Berry phase of the quantum spin models. The Berry connection, which is given as the inner product of two ground states with different local twist angles, is expressed as a Monte Carlo average on the worldlines with fixed spin configurations at the imaginary-time boundaries. The "complex weight problem" caused by the local twist is solved by adopting the meron cluster algorithm. We present the results of simulation on the anti… Show more

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Cited by 16 publications
(24 citation statements)
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“…where (Σ) ij ≡ k C (i, j) and the composite kernel k C (i, j) is defined by Eq. (14). The inferred parameter is q = (T c , c 1 , c 2 , c 3 , θ 2 , θ 0,0 , θ 0,1 , · · · , θ M,0 , θ M,1 ) t .…”
Section: Practical Procedures Of the Kernel Methodsmentioning
confidence: 99%
“…where (Σ) ij ≡ k C (i, j) and the composite kernel k C (i, j) is defined by Eq. (14). The inferred parameter is q = (T c , c 1 , c 2 , c 3 , θ 2 , θ 0,0 , θ 0,1 , · · · , θ M,0 , θ M,1 ) t .…”
Section: Practical Procedures Of the Kernel Methodsmentioning
confidence: 99%
“…I demonstrate a QMC method to solve for the Berry curvature with respect to global (as opposed to local [53]) coupling parameters. Having seen that this idea works for a simple case, it is readily extensible to other models.…”
Section: Discussionmentioning
confidence: 99%
“…For updating the worldline configuration, we employ the loop cluster algorithm [28][29][30]. In the loop cluster algorithm, one can represent the Berry connection as a function of loop configuration (improved estimator) instead of the worldline configuration [23]. It should be noted that in the present projector Monte Carlo, the states at τ = 0 and β are fixed to some reference state, |φ , which break edge loops and prevent these from flipping.…”
mentioning
confidence: 99%
“…where the loop indices and run over all closed loops. For N = 2, this estimator is reduced to the one derived in the past work [23]. A typical loop configuration for the SU(N ) AFH model is shown in the right panel of Fig.…”
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confidence: 99%