[PDF] Top 20 Monte Carlo algorithm for strongly interacting non-equilibrium quantum systems in nanoelectronics

... developed in the equilibrium Matsubara formalism [ 109 , 142 , 160 ...robust algorithm can be used for many-body impurity ...series in some parameter U (in this work the ... Voir le document complet

... start in Sec. 2 with the main motivations for the ...loop in one page of Python, and, in another example, how equations can be coded efficiently in ...C++. In Sec. 8 we review ... Voir le document complet

... interesting strongly correlated physics in all dimen- sions, for equilibrium and especially non-equilibrium situ- ...ations. For continuum models, the integrands are ... Voir le document complet

... mostly for QMC experts and can be skipped for people new to the ...II in- troduces our models and notations as well as the ba- sic many-body perturbation expression that forms our starting ...the ... Voir le document complet

... as in the hard-sphere case [ 1 ]: the time unit is a displacement of a particle, and we compare the autocorrelation functions of the bond- orientational order parameter  obtained for the event-driven ... Voir le document complet

... the Monte Carlo algorithm becomes recursive, just as for simulation of multiply scattered ...The algorithm stops when the required temperature is known, either because this corresponds ... Voir le document complet

... Conclusions In this paper we have pinpointed the need for con- sidering probabilistic safety analyses in which the fault occurrence and propagation behavior can de- pend on the physical and control ... Voir le document complet

... our algorithm through explicit comparisons with a standard Metropolis algorithm and with molecular- dynamics simulations, each performed with Ewald sum- ...particle. In the sim- plest version of ... Voir le document complet

... The only impurity solvers up to date which allow an infinite number of bath levels and give statically exact solutions are the continuous-time quantum Monte Carlo CT-QMC impurity solvers [r] ... Voir le document complet

... dynamics for sampling according to log-concave probability distributions with non-smooth energy ...Hamiltonian Monte Carlo meth- ...the non-differentiability problem of the energy func- ... Voir le document complet

... found in the supplementary ...the algorithm parameters (e.g. step-size) for a fixed number of iterations, rather than explaining the asymptotic behavior when k goes to ...infinity. In the next ... Voir le document complet

... priors. For this reason, many Bayesian estimators are computed using sam- ples generated according to the posterior using Markov chain Monte Carlo (MCMC) sampling techniques ...decades. In ... Voir le document complet

... involved in interacting systems far from equilibrium is one of the major problems in condensed matter ...study in this paper quantum dots under nonequilibrium ... Voir le document complet

... components for low cost microwave or terahertz beating generation ...of in- jection currents in the different gain regions to achieve a balanced dual-mode ...other in the same optical path, ... Voir le document complet

... Bearing in mind our earlier theoretical works about MC integral formulations 2 , we have found a way to bypass this obstacle for a large class of nonlinear problems, based on the very statistical nature of ... Voir le document complet

... PMC algorithm produ es orre t answers. The PMC framework thus allows for a mu h easier onstru tion of adaptive s hemes, ...than in MCMC ...onsidered in the pre-MCMC area, as in, ... Voir le document complet

... problems for different percentage of holes and different algorithms with a timeout of 10 seconds per problem, 10x10 grids, values ranging from 1 to 11 different values on each row and each column, but there is no ... Voir le document complet

... our algorithm: Due to its func- tioning, this algorithm requires as an input the use of discrete finite scales on the ...criteria. In many decision problems some criteria may be expressed on ... Voir le document complet

... bounds for Trees) algorithm [19] consists in creating a tree whose root is the position to ...position. For each node then number s of simulations that went through this node is registered ... Voir le document complet

... details In the toroidal domain (T d ), we use the implementation by Gamito and Maddock [2009] for Poisson Disk sampling, for capacity constraint methods we choose the method of de Goes and colleagues ... Voir le document complet