Observation of the signatures of sub-resolution defects in two-dimensional superconductors with scanning SQUID
Hilary Noad, Christopher A. Watson, Hisashi Inoue, Minu Kim, Hiroki K., Sato, Christopher Bell, Harold Y. Hwang, John R. Kirtley, and Kathryn A., Moler

TL;DR
This paper demonstrates a scanning SQUID susceptometry technique with submicron resolution to detect and quantify localized defects in the superfluid density of two-dimensional superconductors, revealing sub-resolution features.
Contribution
It introduces a high-resolution imaging method to identify and analyze submicron defects in 2D superconductors, surpassing traditional mutual inductance limitations.
Findings
Localized susceptibility features correspond to suppressed superfluid density.
Features can be characterized by a single parameter indicating defect strength.
Method enables systematic defect detection in 2D superconducting systems.
Abstract
The diamagnetic susceptibility of a superconductor is directly related to its superfluid density. Mutual inductance is a highly sensitive method for characterizing thin films; however, in traditional mutual inductance measurements, the measured response is a non-trivial average over the area of the mutual inductance coils, which are typically of millimeter size. Here we image localized, isolated features in the diamagnetic susceptibility of {\delta}-doped SrTiO3, the 2-DES at the interface between LaAlO3 and SrTiO3, and Nb superconducting thin film systems using scanning superconducting quantum interference device susceptometry, with spatial resolution as fine as 0.7 {\mu}m. We show that these features can be modeled as locally suppressed superfluid density, with a single parameter that characterizes the strength of each feature. This method provides a systematic means of finding and…
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.
