Introduction to stochastic error correction methods
High Energy Physics - Lattice
2009-10-31 v1 Condensed Matter
High Energy Physics - Theory
Nuclear Theory
Abstract
We propose a method for eliminating the truncation error associated with any subspace diagonalization calculation. The new method, called stochastic error correction, uses Monte Carlo sampling to compute the contribution of the remaining basis vectors not included in the initial diagonalization. The method is part of a new approach to computational quantum physics which combines both diagonalization and Monte Carlo techniques.
Cite
@article{arxiv.hep-lat/0010039,
title = {Introduction to stochastic error correction methods},
author = {Dean Lee and Nathan Salwen and Mark Windoloski},
journal= {arXiv preprint arXiv:hep-lat/0010039},
year = {2009}
}
Comments
11 pages, 1 figure