2021
DOI: 10.48550/arxiv.2112.10519
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Backpropagating Hybrid Monte Carlo algorithm for fast Lefschetz thimble calculations

Genki Fujisawa,
Jun Nishimura,
Katsuta Sakai
et al.

Abstract: The Picard-Lefschetz theory has been attracting much attention as a tool to evaluate a multi-variable integral with a complex weight, which appears in various important problems in theoretical physics. The idea is to deform the integration contour based on Cauchy's theorem using the so-called gradient flow equation. In this paper, we propose a fast Hybrid Monte Carlo algorithm for evaluating the integral, where we use "backpropagation" in calculating the force in the fictitious Hamilton dynamics, thus reducing… Show more

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Cited by 3 publications
(3 citation statements)
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“…10The latter picture was further studied in Ref. [27]. In this picture, however, the Jacobian determinant det 𝐽 (𝑥) is treated as part of observable, which is exponentially large and has no guarantee to have a significant overlap with the weight 𝑒 −Re 𝑆 (𝑧 𝑡 ( 𝑥 ) ) .…”
Section: Algorithmmentioning
confidence: 99%
“…10The latter picture was further studied in Ref. [27]. In this picture, however, the Jacobian determinant det 𝐽 (𝑥) is treated as part of observable, which is exponentially large and has no guarantee to have a significant overlap with the weight 𝑒 −Re 𝑆 (𝑧 𝑡 ( 𝑥 ) ) .…”
Section: Algorithmmentioning
confidence: 99%
“…The latter picture was further studied in Ref. [27]. In this picture, however, the Jacobian determinant det ( ) is treated as part of observable, which is exponentially large and has no guarantee to have a significant overlap with the weight −Re ( ( )) .…”
Section: Algorithmmentioning
confidence: 99%
“…Real-time path integral [1] has recently been revisited both analytically [2][3][4] and numerically [5][6][7][8][9][10][11][12] for the interest of real-time dynamics in quantum theories. Especially in the numerical side, many developments have been made to tame the infamous sign problem (e.g., complex Langevin [13,14,5,6,15,16], contour deformation techniques including Lefschetz thimble methods [2,[17][18][19]3,20,7,21,22,8,9,[23][24][25][26][27][28][29][30]11], and tensor renormalization group [31][32][33][34][35][36][37][38][39]10]), which can enables us to investigate real-time qua...…”
Section: Introductionmentioning
confidence: 99%