158 citations · 472 across the 7 of their papers we have counts for
7 papers
Optimized ensemble Monte Carlo simulations of dense Lennard-Jones fluids
Simon Trebst, Emanuel Gull, Matthias Troyer
We apply the recently developed adaptive ensemble optimization technique to simulate dense Lennard-Jones fluids and a particle-solvent model by broad-histogram Monte Carlo techniqu…
d-wave resonating valence bond states of fermionic atoms in optical lattices
Simon Trebst, Ulrich Schollwoeck, Matthias Troyer +1
We study controlled generation and measurement of superfluid d-wave resonating valence bond (RVB) states of fermionic atoms in 2D optical lattices. Starting from loading spatial an…
Overcoming the critical slowing down of flat-histogram Monte Carlo simulations: Cluster updates and optimized broad-histogram ensembles
Yong Wu, Mathias Koerner, Louis Colonna-Romano +4
We study the performance of Monte Carlo simulations that sample a broad histogram in energy by determining the mean first-passage time to span the entire energy space of d-dimensio…
Dynamics of the Wang-Landau algorithm and complexity of rare events for the three-dimensional bimodal Ising spin glass
S. Alder, S. Trebst, A. K. Hartmann +1
We investigate the performance of flat-histogram methods based on a multicanonical ensemble and the Wang-Landau algorithm for the three-dimensional +/- J spin glass by measuring ro…
Optimizing the ensemble for equilibration in broad-histogram Monte Carlo simulations
Simon Trebst, David A. Huse, Matthias Troyer
We present an adaptive algorithm which optimizes the statistical-mechanical ensemble in a generalized broad-histogram Monte Carlo simulation to maximize the system's rate of round…
Non-local updates for quantum Monte Carlo simulations
M. Troyer, F. Alet, S. Trebst +1
We review the development of update schemes for quantum lattice models simulated using world line quantum Monte Carlo algorithms. Starting from the Suzuki-Trotter mapping we discus…