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 language | English |
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Pages (from-to) | 130-136 |
Number of pages | 7 |
Journal | Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics |
Volume | 328 |
Issue number | 1-2 |
DOIs | |
State | Published - 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.
Funders | Funder number |
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Michigan State University-U.S. Department of Energy (MSU-DOE) Plant Research Laboratory | DE-FG05-84-ER40154 |
ASJC Scopus subject areas
- Nuclear and High Energy Physics