Time Averaged Density Matrix as an Optimization Problem
Quantum Physics
2015-03-06 v1 Statistical Mechanics
Abstract
A new method is presented which allows time averaged density matrices of closed quantum systems to be computed via a constraint overlap maximization. Due to its simplicity, this method can be combined with algorithms based on tensor networks, as, e.g., matrix product operators (MPO). An algorithm is explained and several results for non-integrable Ising chains are given. Among them are scaling examples, time averaged expectation values, their variances and operator space entanglement entropies.
Cite
@article{arxiv.1503.01658,
title = {Time Averaged Density Matrix as an Optimization Problem},
author = {Volckmar Nebendahl},
journal= {arXiv preprint arXiv:1503.01658},
year = {2015}
}
Comments
14 pages plus 21 pages appendix; 16 figures