Tootfinder

High Impedance Granular Aluminum Ring Resonators
Mahya Khorramshahi, Martin Spiecker, Patrick Paluch, Simon Geisert, Nicolas Gosling, Nicolas Zapata, Lucas Brauch, Christian Kuebel, Simone Dehm, Ralph Krupke, Wolfgang Wernsdorfer, Ioan M. Pop, Thomas Reisinger
https://arxiv.org/abs/2506.07761

High Impedance Granular Aluminum Ring Resonators
Superconducting inductors with impedance surpassing the resistance quantum, i.e., superinductors, are important for quantum technologies because they enable the development of protected qubits, enhance coupling to systems with small electric dipole moments, and facilitate the study of phase-slip physics. We demonstrate superinductors with densely packed meandered traces of granular aluminum (grAl) with inductances up to $4\,μ\mathrm{H}$, achieving impedances exceeding $100\,\mathrm{k}Ω$ in th…

Distribution System State and Impedance Estimation Augmented with Carson's Equations
Marta Vanin, Frederik Geth, Rahmat Heidari, Dirk Van Hertem
https://arxiv.org/abs/2506.04949

Distribution System State and Impedance Estimation Augmented with Carson's Equations
The impedances of cables and lines used in (multi-conductor) distribution networks are usually unknown or approximated, and may lead to problematic results for any physics-based power system calculation, e.g., (optimal) power flow. Learning parameters from time series data is one of the few available options to obtain improved impedance models. This paper presents an approach that combines statistical learning concepts with the exploitation of domain knowledge, in the form of Carson's equations…