Variational tensor network operator

We propose a simple and generic construction of the variational tensor network operators to study the quantum spin systems by the synergy of ideas from the imaginary-time evolution and the variational optimization of trial wave functions. By applying these operators to simple initial states, accurat...

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Bibliographic Details
Main Authors: Yu-Hsueh Chen, Ke Hsu, Wei-Lin Tu, Hyun-Yong Lee, Ying-Jer Kao
Format: Article
Language:English
Published: American Physical Society 2022-11-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.4.043153
Description
Summary:We propose a simple and generic construction of the variational tensor network operators to study the quantum spin systems by the synergy of ideas from the imaginary-time evolution and the variational optimization of trial wave functions. By applying these operators to simple initial states, accurate variational ground-state wave functions with extremely few parameters can be obtained. Furthermore, the framework can be applied to spontaneously study symmetry-breaking, symmetry-protected topological, and intrinsic topologically ordered phases, and we show that symmetries of the local tensors associated with these phases can emerge directly after the optimization without any gauge fixing. This provides a universal way to identify quantum phase transitions without prior knowledge of the system.
ISSN:2643-1564