Efficient adiabatic preparation of tensor network states

We propose and study a specific adiabatic path to prepare those tensor network states that are unique ground states of few-body parent Hamiltonians in finite lattices, which include normal tensor network states, as well as other relevant nonnormal states. This path guarantees a gap for finite system...

Full description

Bibliographic Details
Main Authors: Zhi-Yuan Wei, Daniel Malz, J. Ignacio Cirac
Format: Article
Language:English
Published: American Physical Society 2023-05-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.5.L022037
Description
Summary:We propose and study a specific adiabatic path to prepare those tensor network states that are unique ground states of few-body parent Hamiltonians in finite lattices, which include normal tensor network states, as well as other relevant nonnormal states. This path guarantees a gap for finite systems and allows for efficient numerical simulation. In one dimension, we numerically investigate the preparation of a family of states with varying correlation lengths and the one-dimensional Affleck-Kennedy-Lieb-Tasaki (AKLT) state and show that adiabatic preparation can be much faster than standard methods based on sequential preparation. We also apply the method to the two-dimensonal AKLT state on the hexagonal lattice, for which no method based on sequential preparation is known, and show that it can be prepared very efficiently for relatively large lattices.
ISSN:2643-1564