Incipient quantum spin Hall insulator under strong correlations
Peizhi Mai, Jinchao Zhao, and Philip W. Phillips

TL;DR
This study uses non-perturbative quantum Monte Carlo simulations to show that the Kane-Mele-Hubbard model under strong correlations favors a quantum spin Hall insulator state over a proposed antiferromagnetic Chern insulator, clarifying the nature of topological phases.
Contribution
It provides non-perturbative evidence that the low-temperature phase is a quantum spin Hall insulator, challenging prior mean-field predictions of a $z$-antiferromagnetic Chern insulator in the Kane-Mele-Hubbard model.
Findings
Quantum spin Hall insulator is stabilized at intermediate sub-lattice potential and high on-site repulsion.
$xy$-antiferromagnetic fluctuations dominate at low temperature, suppressing $z$-AFM Chern insulator.
Results align with experimental observations of quantum spin Hall effects in twisted bilayer TMDs.
Abstract
To assess prior mean-field claims that the interacting Kane-Mele model hosts a novel antiferromagnetic (AFM) Chern insulating phase for a wide range of sub-lattice potentials, we analyze the Kane-Mele-Hubbard model in the presence of a sub-lattice potential using non-perturbative determinant quantum Monte Carlo simulations. We find instead that the true low-temperature state is a quantum spin Hall insulator for intermediate values of the sub-lattice potential and large on-site repulsion. Two kinds of magnetic fluctuations are found to compete: - and -AFM. The latter dominates at low temperature leading to a stabilization of the quantum spin Hall state as opposed to AFM Chern insulator. Our work is consistent with the robust quantum spin Hall effects which are consistently observed at even-integer fillings over a wide range of parameters in twisted bilayer…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
