The splitting of Quasi-Monte Carlo (QMC) point sequences into interleaved substreams has been suggested to raise the speed of distributed numerical integration and to lower the traffic on the network. The usefulness of this approach in GRID environments is discussed. After specifying requirements for using QMC techniques in GRID environments in general we review and evaluate the proposals made ...

We propose and analyze a quasi-Monte Carlo (QMC) algorithm for efficient simulation of wave propagation modeled by the Helmholtz equation in bounded region which refractive index is random spatially heterogenous. Our focus on case can contain multiple wavelengths. bypass usual sign-indefiniteness problem switching to an alternative sign-definite formulation recently developed Ganesh Morgenstern...

Europhysics Letters PREPRINT The effective mass and the g-factor of the strongly-correlated 2-D electron fluid. Evidence for a coupled-valley state in the Si system. Abstract. – The effective mass m * , and the Landé g-factor of the uniform 2-D electron system (2DES) are calculated as a function of the spin polarization ζ, and the density parameter rs, using a non-perturbative analytic approach...

Abstract The degrees of freedom that confer to strongly correlated systems their many intriguing properties also render them fairly intractable through typical perturbative treatments. For this reason, the mechanisms responsible for technologically promising remain mostly elusive. Computational approaches have played a major role in efforts fill void. In particular, dynamical mean field theory ...

Since its first description fifty years ago, the Metropolis Monte Carlo method has been used in a variety of different ways for the simulation of continuum quantum many-body systems. This paper will consider some of the generalizations of the Metropolis algorithm employed in quantum Monte Carlo: Variational Monte Carlo, dynamical methods for projector monte carlo (i.e. diffusion Monte Carlo wit...

We investigate critical slowing down in the local updating continuous-time Quantum Monte Carlo method by relating the finite size scaling of Fisher Zeroes to the dynamically generated gap, through the scaling of their respective critical exponents. As we comment, the nonlinear sigma model representation derived through the hamiltonian of our lattice spin model can also be used to give a effecti...

We use nonequilibrium dynamical mean-field theory in combination with a recently developed Quantum Monte Carlo impurity solver to study the real-time dynamics of a Hubbard model which is driven out of equilibrium by a sudden increase in the on-site repulsion U. We discuss the implementation of the selfconsistency procedure and some important technical improvements of the QMC method. The exact n...

We use unbiased computational methods to elucidate the onset and properties of pair superfluidity in two-species fermionic bosonic systems with onsite interspecies attraction loaded one-dimensional optical lattice. compare results from quantum Monte Carlo (QMC) density matrix renormalization group (DMRG), emphasizing one-to-one correspondence between Drude weight tensor, calculated DMRG, variou...

Two magnetic impurities on the edge of a zigzag graphene nanoribbon strongly interact with each other via indirect coupling, which can be mediated by conducting carriers. By means of Quantum Monte Carlo (QMC) simulations, we find that the spin-orbit coupling λ and the chemical potential μ in system can be used to drive the transition of local-spin exchange from ferromagnetism to anti-ferromagne...