Tuning the entanglement growth in matrix-product-state evolution of quantum systems by nonunitary similarity transformations
Quantum Physics
2023-07-14 v1 Statistical Mechanics
Chemical Physics
Computational Physics
Abstract
The possibility of using similarity transformations to alter dynamical entanglement growth in matrix-product-state simulations of quantum systems is explored. By appropriately choosing the similarity transformation, the entanglement growth rate is suppressed, improving the efficiency of numerical simulations of quantum systems. The transformation can be applied to general quantum-many-body systems.
Keywords
Cite
@article{arxiv.2202.09925,
title = {Tuning the entanglement growth in matrix-product-state evolution of quantum systems by nonunitary similarity transformations},
author = {Hanggai Nuomin and Feng-feng Song and Peng Zhang and David N. Beratan},
journal= {arXiv preprint arXiv:2202.09925},
year = {2023}
}