output
20022011
most citedQuantum ESPRESSO: a modular and open-source software project for quantum simulations of materials

29.3k citations

Showing 2004 · cond-mat.stat-mechShow all

6 papers · 2 filters

cond-mat.stat-mech200421 cited

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…

cond-mat.stat-mech20041.3k cited

Computational complexity and fundamental limitations to fermionic quantum Monte Carlo simulations

Matthias Troyer, Uwe-Jens Wiese

Quantum Monte Carlo simulations, while being efficient for bosons, suffer from the "negative sign problem'' when applied to fermions - causing an exponential increase of the comput…

cond-mat.stat-mech200423 cited

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…

cond-mat.stat-mech2004206 cited

Quantum Monte Carlo simulations of confined bosonic atoms in optical lattices

Stefan Wessel, Fabien Alet, Matthias Troyer +1

We study properties of ultra-cold bosonic atoms in one, two and three dimensional optical lattices by large scale quantum Monte Carlo simulations of the Bose Hubbard model in parab…

cond-mat.stat-mech2004114 cited

Phase diagram and critical exponents of a dissipative Ising spin chain in a transverse magnetic field

Philipp Werner, Klaus Voelker, Matthias Troyer +1

We consider a one-dimensional Ising model in a transverse magnetic field coupled to a dissipative heat bath. The phase diagram and the critical exponents are determined from extens…

cond-mat.stat-mech2004158 cited

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…