Topological Insulator nano-SQUID: Flux-tunable platform for topological superconductivity
Ella Nikodem, Jakob Schluck, Henry F. Legg, Max Geier, Michal Papaj, Mahasweta Bagchi, Liang Fu, Yoichi Ando

TL;DR
This paper proposes a novel topological insulator nano-SQUID platform that is flux-tunable and robust against disorder, enabling the realization of topological superconductivity with potential applications in quantum computing.
Contribution
The authors introduce a new TI-based nano-SQUID structure with asymmetric junctions that supports a robust topological phase, confirmed by experimental behavior matching theoretical predictions.
Findings
Device behaves as a columnar nano-SQUID with supercurrent on top and bottom surfaces
Top/bottom asymmetry can be tuned via back gate
Topological phase occurs periodically over a wide flux range
Abstract
Many efforts have been made in the past decade to realize topological superconductivity using superconducting proximity effect, but an ideal platform is still lacking. A 3D topological insulator (TI) is promising for this purpose due to the spin-momentum-locked surface state. Here we propose a novel yet simple TI platform which gives rise to a topological phase that is robust against disorder. It consists of a bulk-insulating rectangular TI nanowire laterally sandwiched by two superconductors. In this structure, the top and bottom surfaces individually work as SNS line junctions, forming a nanometer-scale columnar SQUID in which the nanowire cross-section defines the threading magnetic flux in axial magnetic fields. We theoretically show that, when the two junctions are asymmetric, a robust topological phase occurs periodically for a wide range of , independently of the…
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
TopicsPhotonic Crystals and Applications · Advanced Optical Imaging Technologies · Topological and Geometric Data Analysis
