Probing and Graph Coloring Techniques for Trace Estimation in Lattice QCD

ABSTRACT The computation of , where is the Wilson–Dirac matrix of Lattice QCD, is a fundamental and computationally demanding task with applications to disconnected hadronic correlation functions. Since is a dense matrix of prohibitive size, its trace cannot be computed exactly, and one must resort to stochastic estimation via the Hutchinson estimator. The variance of the resulting estimation, however, can be large, as it is dominated by the off‐diagonal entries of . We review the stochastic probing technique, which reduces the variance by constructing structured sampling vectors from distance‐ colorings of the graph associated with , exploiting the exponential off‐diagonal decay of to eliminate dominant short‐range contributions to the variance. We then present a novel multiplier‐based coloring scheme, which achieves valid distance‐ colorings at arbitrary distances with significantly fewer colors than the established hierarchical probing construction. We prove that at any intermediate coloring falling between two consecutive hierarchical levels, the multiplier‐based estimator achieves strictly lower variance than the partial hierarchical estimator, for large enough . This is confirmed by numerical experiments showing that the multiplier‐based variance decreases smoothly and monotonically with the number of colors, avoiding the irregular behavior affecting hierarchical probing at intermediate colorings, and achieving a substantial improvement in relative accuracy.

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Publication Details

Journal
PAMM
Published
2026-09-30
DOI
https://doi.org/10.1002/pamm.70246
Primary Topic
Quantum Chromodynamics and Particle Interactions
Type
article
Field-Weighted Citation Impact
0.00

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article

Probing and Graph Coloring Techniques for Trace Estimation in Lattice QCD

Bruno Lang, Andreas Frommer, Gustavo Ramirez‐Hidalgo, Mario Papace et al.
PAMM
Quantum Chromodynamics and Particle Interactions
article

Probing and Graph Coloring Techniques for Trace Estimation in Lattice QCD

Bruno Lang, Andreas Frommer, Gustavo Ramirez‐Hidalgo, Mario Papace, Jose Jimenez-Merchan, Christian Schneider
article en

Abstract

ABSTRACT The computation of , where is the Wilson–Dirac matrix of Lattice QCD, is a fundamental and computationally demanding task with applications to disconnected hadronic correlation functions. Since is a dense matrix of prohibitive size, its trace cannot be computed exactly, and one must resort to stochastic estimation via the Hutchinson estimator. The variance of the resulting estimation, however, can be large, as it is dominated by the off‐diagonal entries of . We review the stochastic probing technique, which reduces the variance by constructing structured sampling vectors from distance‐ colorings of the graph associated with , exploiting the exponential off‐diagonal decay of to eliminate dominant short‐range contributions to the variance. We then present a novel multiplier‐based coloring scheme, which achieves valid distance‐ colorings at arbitrary distances with significantly fewer colors than the established hierarchical probing construction. We prove that at any intermediate coloring falling between two consecutive hierarchical levels, the multiplier‐based estimator achieves strictly lower variance than the partial hierarchical estimator, for large enough . This is confirmed by numerical experiments showing that the multiplier‐based variance decreases smoothly and monotonically with the number of colors, avoiding the irregular behavior affecting hierarchical probing at intermediate colorings, and achieving a substantial improvement in relative accuracy.

PAMMVol. 26(4)
University of Wuppertal (DE), Forschungszentrum Jülich (DE), Ernst Ruska Centre (DE), University of Cyprus (CY)
European Commission, Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 53%
Quantum Chromodynamics and Particle Interactions
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Probing and Graph Coloring Techniques for Trace Estimation in Lattice QCD — Bruno Lang, Andreas Frommer, et al. · PAMM (2026) | TGRS Research Map | TGRS