KBD algorithm
id:
kbd-algorithm-255-14089365
title:
KBD algorithm
text:
The KBD algorithm is a cluster update algorithm designed for the fully frustrated Ising model in two dimensions, or more generally any two dimensional spin glass with frustrated plaquettes arranged in a checkered pattern. It is discovered in 1990 by Daniel Kandel, Radel Ben-Av, and Eytan Domany, and generalized by P. D. Coddington and L. Han in 1994. It is the inspiration for cluster algorithms used in quantum monte carlo simulations.
brand slug:
wiki
category slug:
encyclopedia
description:
Cluster update algorithm
original url:
https://en.wikipedia.org/wiki/KBD_algorithm
date created:
date modified:
2022-01-11T17:40:36Z
main entity:
{"identifier":"Q108695984","url":"https://www.wikidata.org/entity/Q108695984"}
image:
fields total:
13
integrity:
14