Results 31 to 40 of about 857,070 (293)

Self-Learning Determinantal Quantum Monte Carlo Method [PDF]

, 2016
Self-learning Monte Carlo method [arXiv:1610.03137, 1611.09364] is a powerful general-purpose numerical method recently introduced to simulate many-body systems. In this work, we implement this method in the framework of determinantal quantum Monte Carlo
Fu, Liang, Liu, Junwei, Meng, Zi Yang, Qi, Yang, Xu, Xiao Yan   +4 more
core   +3 more sources

Auxiliary Field Diffusion Monte Carlo calculation of nuclei with A<40 with tensor interactions [PDF]

, 2007
We calculate the ground-state energy of 4He, 8He, 16O, and 40Ca using the auxiliary field diffusion Monte Carlo method in the fixed phase approximation and the Argonne v6' interaction which includes a tensor force.
Fantoni, S., Gandolfi, S., Pederiva, F., Schmidt, K. E.   +3 more
core   +1 more source

Semistochastic Projector Monte Carlo Method

Physical Review Letters, 2012
We introduce a semistochastic implementation of the power method to compute, for very large matrices, the dominant eigenvalue and expectation values involving the corresponding eigenvector. The method is semistochastic in that the matrix multiplication is partially implemented numerically exactly and partially with respect to expectation values only ...
Petruzielo, F. R., Holmes, A. A., Changlani, Hitesh J., Nightingale, M. P., Umrigar, C. J.   +4 more
openaire   +5 more sources

Monte Carlo simulation method for Laughlin-like states in a disk geometry [PDF]

, 2003
We discuss an alternative accurate Monte Carlo method to calculate the ground-state energy and related quantities for Laughlin states of the fractional quantum Hall effect in a disk geometry.
C. Wexler, Carlos Wexler, D. C. Tsui, D. Levesque, E. Mendez, J. K. Jain, J. M. Caillol, N. Metropolis, O. Ciftja, O. Ciftja, Orion Ciftja, Pui K. Lam, R. B. Laughlin, R. Morf, R. Morf   +14 more
core   +2 more sources

Uma abordagem simplificada do método Monte Carlo Quântico: da solução de integrais ao problema da distribuição eletrônica A simplified approach to the Quantum Monte Carlo method: from the solution of integrals to the electronic distribution problem

Química Nova, 2008
The paper presents an introductory and general discussion on the quantum Monte Carlo methods, some fundamental algorithms, concepts and applicability. In order to introduce the quantum Monte Carlo method, preliminary concepts associated with Monte Carlo ...
Wagner Fernando Delfino Angelotti, André Luiz da Fonseca, Guilherme Barreto Torres, Rogério Custodio   +3 more
doaj   +1 more source

Divergence of the multilevel Monte Carlo Euler method for nonlinear stochastic differential equations

, 2013
The Euler-Maruyama scheme is known to diverge strongly and numerically weakly when applied to nonlinear stochastic differential equations (SDEs) with superlinearly growing and globally one-sided Lipschitz continuous drift coefficients.
Hutzenthaler, Martin, Jentzen, Arnulf, Kloeden, Peter E.   +2 more
core   +1 more source

Transition matrix Monte Carlo method for quantum systems

, 2003
We propose an efficient method for Monte Carlo simulation of quantum lattice models. Unlike most other quantum Monte Carlo methods, a single run of the proposed method yields the free energy and the entropy with high precision for the whole range of ...
Berg B. A., de Oliveira P. M. C., Evertz H. G., Janke W., Kandel D., Kawashima N., Kawashima N., Lee J., Metropolis N., Sandvik A. W., Sandvik A. W., Swendsen R., Syljuåsen O. F., Troyer M., Wang F., Wang J.-S., Yamaguchi C., Yamaguchi C.   +17 more
core   +1 more source

Coupled Electron Ion Monte Carlo Calculations of Atomic Hydrogen [PDF]

, 2004
We present a new Monte Carlo method which couples Path Integral for finite temperature protons with Quantum Monte Carlo for ground state electrons, and we apply it to metallic hydrogen for pressures beyond molecular dissociation.
Ceperley, David M., Holzmann, Markus, Pierleoni, Carlo   +2 more
core   +1 more source

Comparation of nonuniform and uniform Monte - Carlo Searching

MATEC Web of Conferences, 2018
Nonuniform Monte-Carlo method is often used for optimization and solution of function mapping. This method has some disadvantages. New genetic algorithm, based on uniform Monte-Carlo is proposed by authors reduce disadvantage of nonuniform Monte- Carlo ...
Handrik Marián, Handriková Jana, Vaško Milan, Dorčiak Filip   +3 more
doaj   +1 more source

Transition Matrix Monte Carlo Method

, 1998
We analyze a new Monte Carlo method which uses transition matrix in the space of energy. This method gives an efficient reweighting technique. The associated artificial dynamics is a constrained random walk in energy, producing the result that ...
Wang, Jian-Sheng
core   +1 more source