Stochastic estimation with Z2 noise

Shao Jing Dong, Keh Fei Liu

Research output: Contribution to journalArticlepeer-review

158 Scopus citations

Abstract

We introduce a Z2 noise for the stochastic estimation of matrix inversion and discuss its superiority over other noises including the Gaussian noise. This algorithm is applied to the calculation of quark loops in lattice quantum chromodynamics that involves diagonal and off-diagonal traces of the inverse matrix. We will point out its usefulness in its applications to estimating determinants, eigenvalues, and eigenvectors, as well as its limitations based on the structure of the inverse matrix.

Original languageEnglish
Pages (from-to)130-136
Number of pages7
JournalPhysics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics
Volume328
Issue number1-2
DOIs
StatePublished - May 26 1994

Bibliographical note

Funding Information:
This work was supported in part by the U.S. Department of Energy under grant number DE-FG05-84-ER40154. We would like to thank C. Thron for sharing his results with us prior to publication and for stimulating discussions.

Funding

This work was supported in part by the U.S. Department of Energy under grant number DE-FG05-84-ER40154. We would like to thank C. Thron for sharing his results with us prior to publication and for stimulating discussions.

FundersFunder number
Michigan State University-U.S. Department of Energy (MSU-DOE) Plant Research LaboratoryDE-FG05-84-ER40154

    ASJC Scopus subject areas

    • Nuclear and High Energy Physics

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