How to calculate quantum quench distributions with a weighted Wang-Landau Monte Carlo
arXiv:1505.01675 · doi:10.1088/1742-5468/2015/06/P06009
Abstract
We present here an extension of the Wang-Landau Monte Carlo method which allows us to get very accurate estimates of the full probability distributions of several observables after a quantum quench for large systems, whenever the relevant matrix elements are calculable, but the full exponential complexity of the Hilbert space would make an exhaustive enumeration impossible beyond very limited sizes. We apply this method to quenches of free-fermion models with disorder, further corroborating the fact that a generalized Gibbs ensemble fails to capture the long-time average of many-body operators when disorder is present.
18 pages, 6 figures, accepted for publication in JSTAT
References in corpus (9)
- Many-Body Physics with Ultracold Gases
- Thermalization and its mechanism for generic isolated quantum systems
- Ultracold atomic gases in optical lattices: mimicking condensed matter physics and beyond
- Quantum Quench in the Transverse Field Ising Chain
- Breakdown of thermalization in finite one-dimensional systems
- Dephasing and the steady state in quantum many-particle systems
- Analysis of the convergence of the 1/t and Wang-Landau algorithms in the calculation of multidimensional integrals
- Relaxation and Thermalization after a Quantum Quench: Why Localization is Important
- Relaxation Dynamics of Disordered Spin Chains: Localization and the Existence of a Stationary State