Tuning the entanglement growth in matrix-product-state evolution of quantum systems by nonunitary similarity transformations

Autor: Nuomin, Hanggai, Song, Feng-feng, Zhang, Peng, Beratan, David N.
Rok vydání: 2022
Předmět:
Druh dokumentu: Working Paper
DOI: 10.1103/PhysRevB.106.104306
Popis: 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.
Databáze: arXiv