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Main Authors: Lashomb, Paul, Morgan, Ronald B., Whyte, Travis, Wilcox, Walter
Format: Preprint
Published: 2023
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Online Access:https://arxiv.org/abs/2402.00016
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author Lashomb, Paul
Morgan, Ronald B.
Whyte, Travis
Wilcox, Walter
author_facet Lashomb, Paul
Morgan, Ronald B.
Whyte, Travis
Wilcox, Walter
contents In lattice QCD the calculation of disconnected quark loops from the trace of the inverse quark matrix has large noise variance. A multilevel Monte Carlo method is proposed for this problem that uses different degree polynomials on a multilevel system. The polynomials are developed from the GMRES algorithm for solving linear equations. To reduce orthogonalization expense, the highest degree polynomial is a composite or double polynomial found with a polynomial preconditioned GMRES iteration. Matrix deflation is used in three different ways: in the Monte Carlo levels, in the main solves, and in the deflation of the highest level double polynomial. A numerical comparison with optimized Hutchinson is performed on a quenched \(24^4\) lattice. The results demonstrate that the new Multipolynomial Monte Carlo method can significantly improve the trace computation for matrices that have a difficult spectrum due to small eigenvalues.}
format Preprint
id arxiv_https___arxiv_org_abs_2402_00016
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Multipolynomial Monte Carlo Trace Estimation
Lashomb, Paul
Morgan, Ronald B.
Whyte, Travis
Wilcox, Walter
High Energy Physics - Lattice
Mathematical Physics
In lattice QCD the calculation of disconnected quark loops from the trace of the inverse quark matrix has large noise variance. A multilevel Monte Carlo method is proposed for this problem that uses different degree polynomials on a multilevel system. The polynomials are developed from the GMRES algorithm for solving linear equations. To reduce orthogonalization expense, the highest degree polynomial is a composite or double polynomial found with a polynomial preconditioned GMRES iteration. Matrix deflation is used in three different ways: in the Monte Carlo levels, in the main solves, and in the deflation of the highest level double polynomial. A numerical comparison with optimized Hutchinson is performed on a quenched \(24^4\) lattice. The results demonstrate that the new Multipolynomial Monte Carlo method can significantly improve the trace computation for matrices that have a difficult spectrum due to small eigenvalues.}
title Multipolynomial Monte Carlo Trace Estimation
topic High Energy Physics - Lattice
Mathematical Physics
url https://arxiv.org/abs/2402.00016