Reweighting Estimators for Density Response in Path Integral Monte Carlo: Applications to linear, nonlinear and cross-species density response

Fuente: arXiv
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Main Authors: Svensson, Pontus, Chuna, Thomas, Vorberger, Jan, Moldabekov, Zhandos A., Hamann, Paul, Schwalbe, Sebastian, Tolias, Panagiotis, Dornheim, Tobias
Format: Preprint
Published: 2026
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author Svensson, Pontus
Chuna, Thomas
Vorberger, Jan
Moldabekov, Zhandos A.
Hamann, Paul
Schwalbe, Sebastian
Tolias, Panagiotis
Dornheim, Tobias
author_facet Svensson, Pontus
Chuna, Thomas
Vorberger, Jan
Moldabekov, Zhandos A.
Hamann, Paul
Schwalbe, Sebastian
Tolias, Panagiotis
Dornheim, Tobias
contents We present density response estimators for Monte Carlo simulations that are based on a reweighting procedure, where the samples of an unperturbed system are used to estimate the properties of a system perturbed by an external harmonic potential. This allows the linear and nonlinear static density response to be estimated purely from simulations of the unperturbed system. The method is demonstrated for the uniform electron gas under warm dense matter and strongly coupled conditions using ab initio path integral Monte Carlo simulations. The performance of the method with respect to the number of particles and the number of imaginary time slices is investigated. The scheme is generalised to consider multiple external perturbations, acting on different species and with different wavenumbers, giving one access to additional cross-species density response functions and the complete quadratic response function resolved for both wave number arguments through mode coupling. The flexibility of the methodology opens the possibility to investigate numerous new density response properties to further advance our understanding of interacting quantum many-body systems across a broad range of applications.
format Preprint
id arxiv_https___arxiv_org_abs_2604_15934
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Reweighting Estimators for Density Response in Path Integral Monte Carlo: Applications to linear, nonlinear and cross-species density response
Svensson, Pontus
Chuna, Thomas
Vorberger, Jan
Moldabekov, Zhandos A.
Hamann, Paul
Schwalbe, Sebastian
Tolias, Panagiotis
Dornheim, Tobias
Chemical Physics
Computational Physics
Plasma Physics
We present density response estimators for Monte Carlo simulations that are based on a reweighting procedure, where the samples of an unperturbed system are used to estimate the properties of a system perturbed by an external harmonic potential. This allows the linear and nonlinear static density response to be estimated purely from simulations of the unperturbed system. The method is demonstrated for the uniform electron gas under warm dense matter and strongly coupled conditions using ab initio path integral Monte Carlo simulations. The performance of the method with respect to the number of particles and the number of imaginary time slices is investigated. The scheme is generalised to consider multiple external perturbations, acting on different species and with different wavenumbers, giving one access to additional cross-species density response functions and the complete quadratic response function resolved for both wave number arguments through mode coupling. The flexibility of the methodology opens the possibility to investigate numerous new density response properties to further advance our understanding of interacting quantum many-body systems across a broad range of applications.
title Reweighting Estimators for Density Response in Path Integral Monte Carlo: Applications to linear, nonlinear and cross-species density response
topic Chemical Physics
Computational Physics
Plasma Physics
url https://arxiv.org/abs/2604.15934