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Worldvolume approach to the tempered Lefschetz thimble method

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arxiv 2012.08468 v1 pith:B3QH6REV submitted 2020-12-15 hep-lat hep-thphysics.comp-ph

classification hep-lathep-thphysics.comp-ph
keywords algorithmmethodflowgradientintegrationlefschetzneedssign
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As a solution towards the numerical sign problem, we propose a novel Hybrid Monte Carlo algorithm, in which molecular dynamics is performed on a continuum set of integration surfaces foliated by the antiholomorphic gradient flow ("the worldvolume of an integration surface"). This is an extension of the tempered Lefschetz thimble method (TLTM), and solves the sign and multimodal problems simultaneously as the original TLTM does. Furthermore, in this new algorithm, one no longer needs to compute the Jacobian of the gradient flow in generating a configuration, and only needs to evaluate its phase upon measurement. To demonstrate that this algorithm works correctly, we apply the algorithm to a chiral random matrix model, for which the complex Langevin method is known not to work.

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  1. Path optimization method for the sign problem: Insights from random matrix models

    hep-lat 2026-07 conditional novelty 5.0 of 10

    Path optimization improves the average phase factor in the Stephanov model at high chemical potential but not at low chemical potential or in the chiral random matrix model, pointing to the global sign problem as the ...

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