Ground-state fidelity and tensor network states for quantum spin tubes
Ai-Min Chen, Qian-Qian Shi, Jin-Hua Liu, Huan-Qiang Zhou

TL;DR
This paper introduces an efficient tensor network algorithm to compute ground-state fidelity in quantum spin tubes, enabling the identification of quantum critical points and phase transitions.
Contribution
The paper develops a novel tensor network method for quantum spin tubes that efficiently detects quantum phase transitions via ground-state fidelity analysis.
Findings
Identification of two Kosterlitz-Thouless transitions in the spin tube model
Resolution of conflicting results on phase transitions using the new method
Efficient computation of ground-state fidelity per lattice site
Abstract
An efficient algorithm is developed for quantum spin tubes in the context of the tensor network representations. It allows to efficiently compute the ground-state fidelity per lattice site, which in turn enables us to identify quantum critical points, at which quantum spin tubes undergo quantum phase transitions. As an illustration, we investigate the isosceles spin 1/2 antiferromagnetic three-leg Heisenberg tube. Our simulation results suggest that two Kosterlitz-Thouless transitions occur as the degree of asymmetry of the rung interaction is tuned, thus offering an alternative route towards a resolution to the conflicting results on this issue arising from the density matrix renormalization group.
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Taxonomy
TopicsQuantum many-body systems · Neural Networks and Reservoir Computing · Physics of Superconductivity and Magnetism
