Back to Search Start Over

Quantitative nanoscale vortex-imaging using a cryogenic quantum magnetometer

Authors :
Thiel, Lucas
Rohner, Dominik
Ganzhorn, Marc
Appel, Patrick
Neu, Elke
Müller, Benedikt
Kleiner, Reinhold
Koelle, Dieter
Maletinsky, Patrick
Publication Year :
2015

Abstract

Microscopic studies of superconductors and their vortices play a pivotal role in our understanding of the mechanisms underlying superconductivity. Local measurements of penetration depths or magnetic stray-fields enable access to fundamental aspects of superconductors such as nanoscale variations of superfluid densities or the symmetry of their order parameter. However, experimental tools, which offer quantitative, nanoscale magnetometry and operate over the large range of temperature and magnetic fields relevant to address many outstanding questions in superconductivity, are still missing. Here, we demonstrate quantitative, nanoscale magnetic imaging of Pearl vortices in the cuprate superconductor YBCO, using a scanning quantum sensor in form of a single Nitrogen-Vacancy (NV) electronic spin in diamond. The sensor-to-sample distance of ~10nm we achieve allows us to observe striking deviations from the prevalent monopole approximation in our vortex stray-field images, while we find excellent quantitative agreement with Pearl's analytic model. Our experiments yield a non-invasive and unambiguous determination of the system's local London penetration depth, and are readily extended to higher temperatures and magnetic fields. These results demonstrate the potential of quantitative quantum sensors in benchmarking microscopic models of complex electronic systems and open the door for further exploration of strongly correlated electron physics using scanning NV magnetometry.<br />Comment: Main text (5 pages, 4 figures) plus supplementary material (5 pages, 6 figures). Comments welcome. Further information under http://www.quantum-sensing.ch

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1511.02873
Document Type :
Working Paper
Full Text :
https://doi.org/10.1038/nnano.2016.63