Aharonov-Bohm oscillations in bilayer graphene edge state Fabry-P\'erot interferometers
Hailong Fu, Ke Huang, Kenji Watanabe, Takashi Taniguchi, Morteza, Kayyalha, Jun Zhu

TL;DR
This paper reports the design and experimental observation of Aharonov-Bohm oscillations in a bilayer graphene Fabry-Pérot interferometer, advancing the study of quantum Hall edge states and potential non-Abelian anyons.
Contribution
It introduces a novel split-gated bilayer graphene interferometer and demonstrates quantum interference at multiple integer quantum Hall states.
Findings
Observation of Aharonov-Bohm oscillations in bilayer graphene
Ability to study edge state velocities and dephasing mechanisms
Potential platform for exploring non-Abelian anyons
Abstract
The charge and exchange statistics of an elementary excitation manifest in quantum coherent oscillations that can be explored in interferometry measurements. Quantum Hall interferometers are primary tools to uncover unconventional quantum statistics associated with fractional and non-Abelian anyons of a two-dimensional system, the latter being the foundation of topological quantum computing. Graphene interferometers offer new avenues to explore the physics of exotic excitations due to their relatively small charging energies and sharp confinement potentials. Bilayer graphene possesses a true band gap to facilitate the formation of quantum confinement and exhibits the most robust even-denominator fractional quantum Hall states that may host non-Abelian anyons. Here we present the design and fabrication of a split-gated bilayer graphene Fabry-P\'erot interferometer and experimental…
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
TopicsQuantum and electron transport phenomena · Graphene research and applications · Quantum Computing Algorithms and Architecture
