104 citations · 558 across the 25 of their papers we have counts for
10 papers · 1 filter
A quantum Monte Carlo algorithm for arbitrary spin-1/2 Hamiltonians
Lev Barash, Arman Babakhani, Itay Hen
We present a universal parameter-free quantum Monte Carlo (QMC) algorithm designed to simulate arbitrary spin- Hamiltonians. To ensure the convergence of the Markov chain to e…
Calculating elements of matrix functions using divided differences
Lev Barash, Stefan Güttel, Itay Hen
We introduce a method for calculating individual elements of matrix functions. Our technique makes use of a novel series expansion for the action of matrix functions on basis vecto…
Calculating the divided differences of the exponential function by addition and removal of inputs
Lalit Gupta, Lev Barash, Itay Hen
We introduce a method for calculating the divided differences of the exponential function by means of addition and removal of items from the input list to the function. Our techniq…
Exploring first-order phase transitions with population annealing
Lev Yu. Barash, Martin Weigel, Lev N. Shchur +1
Population annealing is a hybrid of sequential and Markov chain Monte Carlo methods geared towards the efficient parallel simulation of systems with complex free-energy landscapes.…
GPU accelerated population annealing algorithm
Lev Yu. Barash, Martin Weigel, Michal Borovský +2
Population annealing is a promising recent approach for Monte Carlo simulations in statistical physics, in particular for the simulation of systems with complex free-energy landsca…
RNGSSELIB: Program library for random number generation. More generators, parallel streams of random numbers and Fortran compatibility
L. Yu. Barash, L. N. Shchur
In this update, we present the new version of the random number generator (RNG) library RNGSSELIB, which, in particular, contains fast SSE realizations of a number of modern and mo…