Topics
Monte Carlo algorithmMusic genre
Monte CarloMusic genre
hydrogenChemical substance
algorithmMusic genre
The Monte Carlo Hamiltonian method developed recently allows to investigate ground state and low-lying excited states of a quantum system, using Monte Carlo algorithm with importance sampling. However, conventional MC algorithm has some difficulties when applying to inverse potentials. We propose to use effective potential and extrapolation method to solve the problem. We present examples from the hydrogen system
We report on the first successful attempt to apply the auxiliary-field quantum Monte Carlo technique...
Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.Cata...
Quantum Monte Carlo methods are among the most accurate algorithms for predicting properties of gene...
Monte Carlo techniques with importance sampling have been extensively applied to lattice gauge theor...
Starting from an exact lower bound on the imaginary-time propagator, we present a path-integral quan...
Quantum Monte Carlo (QMC) methods are among the most accurate for computing ground state properties ...
We further study the validity of the Monte Carlo Hamiltonian method. The advantage of the method, in...
We will explore applications of computational methods in solving selected quantum mechanical problem...
Quantum systems are in general not e_ciently simulatable by classical means. If one wishes to determ...
We describe the use of a quantum diffusion Monte Carlo algorithm coupled directly to an ab initio pr...
In this paper, we propose an improved excitation generation algorithm for the full configuration int...
This paper considers the inversion problem related to the manipulation of quantum systems using lase...
In this paper we explore ways to study the zero temperature limit of quantum statistical mechanics u...
We report on the first successful attempt to apply the auxiliary-field quantum Monte Carlo technique...
In Chap. 1 some of the most popular QMC methods, Variational Monte Carlo (VMC), Green's Function Mon...
We report on the first successful attempt to apply the auxiliary-field quantum Monte Carlo technique...
Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.Cata...
Quantum Monte Carlo methods are among the most accurate algorithms for predicting properties of gene...
Monte Carlo techniques with importance sampling have been extensively applied to lattice gauge theor...
Starting from an exact lower bound on the imaginary-time propagator, we present a path-integral quan...
Quantum Monte Carlo (QMC) methods are among the most accurate for computing ground state properties ...
We further study the validity of the Monte Carlo Hamiltonian method. The advantage of the method, in...
We will explore applications of computational methods in solving selected quantum mechanical problem...
Quantum systems are in general not e_ciently simulatable by classical means. If one wishes to determ...
We describe the use of a quantum diffusion Monte Carlo algorithm coupled directly to an ab initio pr...
In this paper, we propose an improved excitation generation algorithm for the full configuration int...
This paper considers the inversion problem related to the manipulation of quantum systems using lase...
In this paper we explore ways to study the zero temperature limit of quantum statistical mechanics u...
We report on the first successful attempt to apply the auxiliary-field quantum Monte Carlo technique...
In Chap. 1 some of the most popular QMC methods, Variational Monte Carlo (VMC), Green's Function Mon...
We report on the first successful attempt to apply the auxiliary-field quantum Monte Carlo technique...
Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.Cata...
Quantum Monte Carlo methods are among the most accurate algorithms for predicting properties of gene...
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