Tuning the entanglement growth in matrix-product-state evolution of quantum systems by nonunitary similarity transformations
Hanggai Nuomin, Feng-feng Song, Peng Zhang, David N. Beratan
TL;DR
This paper investigates how nonunitary similarity transformations can be used to control entanglement growth in matrix-product-state simulations, enhancing computational efficiency for quantum many-body systems.
Contribution
It introduces a method to suppress entanglement growth via similarity transformations, improving the efficiency of quantum system simulations.
Findings
Entanglement growth can be effectively suppressed.
Simulation efficiency is improved for various quantum systems.
The method is applicable to general quantum-many-body systems.
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.
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Taxonomy
TopicsQuantum many-body systems · Advanced Thermodynamics and Statistical Mechanics · Spectroscopy and Quantum Chemical Studies