We study the ground-state properties of ferromagnetic quasi-one-dimensional quantum wires using Monte Carlo (QMC) method for various wire widths $b$ and density parameters $r_\text{s}$. The correlation energy, pair-correlation function, static structure factor, momentum are calculated at high density, $r_\text{s}=0.5$. It is observed that peak in factor $k=2k_\text{F}$ grows as width decreases....

We show that the neutron and proton transition densities predicted by recent quantum Monte Carlo calculations for light nuclei are consistent with pion inelastic scattering. This provides a microscopic understanding of the enhancement factors for quadrople excitations, which were needed to describe pion inelastic scattering within the nuclear shell model of Cohen and Kurath. PACS numbers: 21.60...

Using path-integral Quantum Monte Carlo we study the low-temperature phase diagram of a two-dimensional superconductor within a phenomeno-logical model, where vortices have a finite mass and move in a dissipative environment modeled by a Caldeira-Leggett term. The quantum vortex liquid at high magnetic fields exhibits superfluidity and thus corresponds to a superinsulating phase which is charac...

To improve the seismic connectivity reliability (SCR) analysis efficiency of water distribution systems (WDS) based on Monte Carlo (MC) simulation, quasi-Monte (QMC) method sampled by a low-discrepancy sequence is applied. Furthermore, parallel algorithm combined with breadth-first search for SCR WDS QMC and Compute Unified Device Architecture (CUDA) platform was proposed. A city taken as compu...

This paper presents a comparative analysis of six sampling techniques to identify an efficient and accurate technique be applied probabilistic voltage stability assessment in large-scale power systems. In this study, different are investigated compared each other terms their accuracy efficiency, including Monte Carlo (MC), three versions Quasi-Monte (QMC), i.e., Sobol, Halton, Latin Hypercube, ...

We develop a hierarchical equations of motion (HEOM) approach to compute real-time single-particle correlation functions and thermodynamic properties the Holstein model at finite temperature. exploit conservation total momentum system formulate momentum-space HEOM whose dynamical variables explicitly keep track exchanges between electron phonons. Our symmetry-adapted enable us overcome numerica...

We ®rst review quasi Monte Carlo (QMC) integration for approximating integrals, which we believe is a useful tool often overlooked by statistics researchers. We then present a manuallyadaptive extension of QMC for approximating marginal densities when the joint density is known up to a normalization constant. Randomization and a batch-wise approach involving …0; s†-sequences are the cornerstone...