An introduction to quantum Monte Carlo methods

被引:0
|
作者
Sandvik, AW [1 ]
机构
[1] Florida State Univ, Natl High Magnet Field Lab, Tallahassee, FL 32306 USA
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中图分类号
O469 [凝聚态物理学];
学科分类号
070205 ;
摘要
This is an overview of some numerical many-body methods in the quantum Monte Carlo (QMC) simulation family. First, the classical Monte Carlo technique (the Metropolis algorithm) is briefly reviewed. Then, the problem of rewriting a quantum mechanical expectation value as a form accessible to similar stochastic methods is considered. The transformations leading to three different finite-temperature lattice QMC algorithms - the worldline method, the fermion determinant method and a power series expansion method ("stochastic series expansion") - are discussed in some detail.
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页码:109 / 135
页数:27
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