Mutual information and correlations across topological phase transitions in topologically ordered graphene zigzag nanoribbons
In-Hwan Lee, Hoang-Anh Le, and S.-R. Eric Yang

TL;DR
This study investigates how mutual information and correlations evolve during topological phase transitions in graphene zigzag nanoribbons, revealing persistent entanglement patterns and their weakening in crossover phases.
Contribution
It provides the first detailed analysis of mutual information across topological phase transitions in graphene nanoribbons, highlighting entanglement behavior changes.
Findings
Strong entanglement between A- and B-chirality carbon lines in topological phase
Entanglement persists but weakens in crossover phases
No long-range entanglement in symmetry-protected phase without disorder
Abstract
Graphene zigzag nanoribbons, initially in a topologically ordered state, undergo a topological phase transition into crossover phases distinguished by quasi-topological order. We computed mutual information for both the topologically ordered phase and its crossover phases, revealing the following results: (i) In the topologically ordered phase, A-chirality carbon lines strongly entangle with B-chirality carbon lines on the opposite side of the zigzag ribbon. This entanglement persists but weakens in crossover phases. (ii) The upper zigzag edge entangles with non-edge lines of different chirality on the opposite side of the ribbon. (iii) Entanglement increases as more carbon lines are grouped together, regardless of the lines' chirality. No long-range entanglement was found in the symmetry-protected phase in the absence of disorder.
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.
Taxonomy
TopicsGraphene research and applications · Topological Materials and Phenomena · Quantum many-body systems
