The path-integral formulation of nonrelativistic quantum mechanics was introduced by Feynman in 1948. The use of Path Integral Monte Carlo can be put on a rigorous footing using conditional Wiener integrals. This thesis addresses the topics both of numerical error and of Monte Carlo error. A piecewise constant numerical method which is of second order of accuracy for computing conditional Wiener integrals for a rather general class of sufficiently smooth functional is proposed. The method is based on simulation of Brownian bridges via the corresponding stochastic differential equations (SDEs) and on ideas of the weak-sense numerical integration of SDEs. A convergence theorem is proved. Special attention is paid to integral-type functionals....
In this lecture we present the theory and some results of applications of the stochastic diagonaliza...
Some methods for constructing uniform non-perturbative approximations of path integrals over a condi...
We review recent attempts at dealing with the sign problem in Monte Carlo calculations by deforming ...
The path-integral formulation of nonrelativistic quantum mechanics was introduced by Feynman in 1948...
A numerical method of second order of accuracy for computing conditional Wiener integrals of smooth ...
Numerical integration of stochastic differential equations together with the Monte Carlo technique i...
The fermion sign problem, the biggest obstacle in quantum Monte Carlo calculations, is completely so...
In the functional-integral technique an auxiliary field, coupled to appropriate operators such as sp...
The partition function of interacting electrons is often represented as that of noninteracting elect...
AbstractNew approximate formulae for functional integrals with Gaussian measure in separable Frechét...
We review the path integral method wherein quantum systems are mapped with Feynman's path integrals ...
A novel class of quantum Monte Carlo methods, which were based on a Gaussian quantum operator repres...
The Monte Carlo evaluation of path integrals is one of a few general purpose methods to approach str...
The auxiliary-field quantum Monte Carlo method is reviewed. The Hubbard-Stratonovich transformation ...
Our approach to the solution of the Schroedinger Equation for many-fermion systems has been extensiv...
In this lecture we present the theory and some results of applications of the stochastic diagonaliza...
Some methods for constructing uniform non-perturbative approximations of path integrals over a condi...
We review recent attempts at dealing with the sign problem in Monte Carlo calculations by deforming ...
The path-integral formulation of nonrelativistic quantum mechanics was introduced by Feynman in 1948...
A numerical method of second order of accuracy for computing conditional Wiener integrals of smooth ...
Numerical integration of stochastic differential equations together with the Monte Carlo technique i...
The fermion sign problem, the biggest obstacle in quantum Monte Carlo calculations, is completely so...
In the functional-integral technique an auxiliary field, coupled to appropriate operators such as sp...
The partition function of interacting electrons is often represented as that of noninteracting elect...
AbstractNew approximate formulae for functional integrals with Gaussian measure in separable Frechét...
We review the path integral method wherein quantum systems are mapped with Feynman's path integrals ...
A novel class of quantum Monte Carlo methods, which were based on a Gaussian quantum operator repres...
The Monte Carlo evaluation of path integrals is one of a few general purpose methods to approach str...
The auxiliary-field quantum Monte Carlo method is reviewed. The Hubbard-Stratonovich transformation ...
Our approach to the solution of the Schroedinger Equation for many-fermion systems has been extensiv...
In this lecture we present the theory and some results of applications of the stochastic diagonaliza...
Some methods for constructing uniform non-perturbative approximations of path integrals over a condi...
We review recent attempts at dealing with the sign problem in Monte Carlo calculations by deforming ...