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相关论文: Unification of the complex Langevin method and the…

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The complex Langevin approach is a promising method for the numerical treatment of systems with a sign problem, for which conventional lattice field theory techniques based on importance sampling cannot be applied. However, complex Langevin…

高能物理 - 格点 · 物理学 2026-04-15 Michael Mandl

We consider a hybrid Monte Carlo algorithm which is applicable to lattice theories defined on Lefschetz thimbles. In the algorithm, any point (field configuration) on a thimble is parametrized uniquely by the flow-direction and the…

高能物理 - 格点 · 物理学 2015-06-17 H. Fujii , D. Honda , M. Kato , Y. Kikukawa , S. Komatsu , T. Sano

The tempered Lefschetz thimble method is a parallel-tempering algorithm towards solving the numerical sign problem. It uses the flow time of the gradient flow as a tempering parameter and is expected to tame both the sign and multimodal…

强关联电子 · 物理学 2019-12-25 Masafumi Fukuma , Nobuyuki Matsumoto , Naoya Umeda

Normalizing flows have recently been applied to the problem of accelerating Markov chains in lattice field theory. We propose a generalization of normalizing flows that allows them to applied to theories with a sign problem. These complex…

高能物理 - 格点 · 物理学 2022-05-26 Scott Lawrence , Yukari Yamauchi

We analyze to what extent the complex Langevin method, which is in principle capable of solving the so-called sign problems, can be considered as reliable. We give a formal derivation of the correctness and then point out various…

高能物理 - 格点 · 物理学 2010-04-14 Gert Aarts , Erhard Seiler , Ion-Olimpiu Stamatescu

The concept of Lefschetz thimble decomposition is one of the most promising possible modifications of Quantum Monte Carlo (QMC) algorithms aimed at alleviating the sign problem which appears in many interesting physical situations, e.g. in…

强关联电子 · 物理学 2017-12-07 M. V. Ulybyshev , S. N. Valgushev

We study the sign problem in the Hubbard model on the hexagonal lattice away from half-filling using the Lefschetz thimbles method. We identify the saddle points, reduce their amount, and perform quantum Monte Carlo (QMC) simulations using…

强关联电子 · 物理学 2019-06-13 Maksim Ulybyshev , Christopher Winterowd , Savvas Zafeiropoulos

Quantum field theories with complex actions cannot be investigated using importance sampling due to the sign problem. One possible solution is to use the holomorphic gradient flow, a method we introduced related to the Lefschetz thimbles…

高能物理 - 格点 · 物理学 2017-08-23 Andrei Alexandru , Gokce Basar , Paulo F. Bedaque , Neill C. Warrington

We review the theory and applications of complex stochastic quantization to the quantum many-body problem. Along the way, we present a brief overview of a number of ideas that either ameliorate or in some cases altogether solve the sign…

A method is developed which speeds up averaging in quantum simulations where minus signs cause difficulties. A Langevin equation method in conjunction with a replication algorithm is used enabling one to average over a continuously varying…

comp-gas · 物理学 2009-10-22 J. M. Deutsch

One of the main challenges in simulations on Lefschetz thimbles is the computation of the relative weights of contributing thimbles. In this paper we propose a solution to that problem by means of computing those weights using a reweighting…

Although the complex Langevin method can solve the sign problem in simulations of theories with complex actions, the method will yield the wrong results if known validity conditions are not satisfied. We present a novel method to compute…

高能物理 - 格点 · 物理学 2017-04-05 Jacques Bloch

The complex Langevin method is a leading candidate for solving the so-called sign problem occurring in various physical situations. Its most vexing problem is that in some cases it produces `convergence to the wrong limit'. In the first…

高能物理 - 格点 · 物理学 2015-05-27 Gert Aarts , Frank A. James , Erhard Seiler , Ion-Olimpiu Stamatescu

Many methods that build powerful variational distributions based on unadjusted Langevin transitions exist. Most of these were developed using a wide range of different approaches and techniques. Unfortunately, the lack of a unified analysis…

机器学习 · 计算机科学 2023-03-24 Tomas Geffner , Justin Domke

A solution to the sign problem is the so-called "Lefschetz thimble approach" where the domain of integration for field variables in the path integral is deformed from the real axis to a sub-manifold in the complex space. For properly chosen…

高能物理 - 格点 · 物理学 2016-06-01 Andrei Alexandru , Gokce Basar , Paulo F. Bedaque , Gregory W. Ridgway , Neill C. Warrington

We study three possible ways to circumvent the sign problem in the O(3) nonlinear sigma model in 1+1 dimensions. We compare the results of the worm algorithm to complex Langevin and multiparameter reweighting. Using the worm algorithm, the…

高能物理 - 格点 · 物理学 2017-03-22 Sandor D. Katz , Ferenc Niedermayer , Daniel Nogradi , Csaba Torok

It is sometimes speculated that the sign problem that afflicts many quantum field theories might be reduced or even eliminated by choosing an alternative domain of integration within a complexified extension of the path integral (in the…

高能物理 - 格点 · 物理学 2015-07-14 AuroraScience Collaboration , Marco Cristoforetti , Francesco Di Renzo , Luigi Scorzato

Nowadays the term 'sign problem' is used to identify two different problems. The ideas to overcome the first type of the 'sign problem' of strongly oscillating complex valued imtegrand in the Feynman path integrals comes from…

统计力学 · 物理学 2020-03-04 Vladimir Filinov , Alexander Larkin

We introduce a robust numerical method for determining intersection numbers of Lefschetz thimbles in multivariable settings. Our approach employs the multiple shooting method to solve the upward flow equations from the saddle points to the…

高能物理 - 理论 · 物理学 2026-02-02 Yutaro Shoji , Katarina Trailović

Theories with a sign problem due to a complex action or Boltzmann weight can sometimes be numerically solved using a stochastic process in the complexified configuration space. However, the probability distribution effectively sampled by…

高能物理 - 格点 · 物理学 2025-10-06 Gert Aarts , Diaa E. Habibi , Lingxiao Wang , Kai Zhou