Optical Signatures of Band Flatness and Anisotropic Quantum Geometry in Magic-Angle Twisted Bilayer Graphene
Pok Man Chiu

TL;DR
This paper investigates how optical conductivity measurements can reveal band flatness and quantum geometry in magic-angle twisted bilayer graphene, linking optical features to electronic phases and Berry curvature properties.
Contribution
It introduces optical signatures as probes for band flatness, quantum geometry, and topological phases in twisted bilayer graphene, highlighting their dependence on lattice relaxation and symmetry.
Findings
Optical absorption peaks indicate bandwidth and gap sizes relevant for superconductivity and fractional Chern insulators.
Lattice relaxation reduces the optical bound near zero energy, affecting flat band properties.
The imaginary part of optical Hall conductivity reflects Berry curvature distribution and symmetry conditions.
Abstract
We study the degree of band flatness and anisotropic quantum geometry in magic-angle twisted bilayer graphene by varying the twist angle and the lattice relaxation through optical conductivity. We show that the degree of band flatness and its quantum geometry can be revealed through optical absorption and its resulting optical bounds, which are based on the trace condition in quantum geometry. More specifically, the narrow and isolated peak of optical absorption in the low-energy region provides information about the bandwidth between two flat bands. When this value is smaller than the electron interaction, it serves as a critical condition for the emergence of flat band superconductivity. Furthermore, optical absorption also provides the gap value between the flat band and the dispersive band, and when this gap is larger than the electron interaction, it facilitates the realization of…
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.
