SUPR
Unconventional and topological mesoscopic superconductors
Dnr:

NAISS 2024/23-355

Type:

NAISS Small Storage

Principal Investigator:

Patric Holmvall

Affiliation:

Uppsala universitet

Start Date:

2024-06-01

End Date:

2025-06-01

Primary Classification:

10304: Condensed Matter Physics

Allocation

Abstract

Superconducting quantum devices are at the heart of modern quantum technology, where they are used both as fundamental building blocks in larger quantum devices and circuits, but also as sensors in quantum metrology. These superconducting devices are often realized on a mesoscopic scale, bridging the microscopic and macroscopic regimes. However, our fundamental understanding of how superconductivity behaves on the mesoscopic scale is far from complete, partly because of the technical challenges with simulating such systems with full microscopic theory. To resolve these issues, we have developed the open-source framework SuperConga, based on the quasiclassical theory of superconductivity (Applied Physics Reviews 10, 011317 (2023); https://doi.org/10.1063/5.0100324), which can efficiently model mesoscopic superconductivity. SuperConga is the state-of-the art, combining a highly efficient implementation that runs on GPUs, with a user-friendly and well-documented interface. SuperConga is in continuous development (https://gitlab.com/superconga/superconga) and has previously been used to research a number of different topics published in high-impact journals, and in numerous student theses (https://superconga.gitlab.io/superconga-doc/about.html#research-using-superconga). There are currently several projects on mesoscopic superconductivity with a focus on unconventional and topological superconductors. We also carry out some fully microscopic studies. Many of these projects cover similar systems, where results and solutions from one project sometimes form a starting point for new simulations in another project. The purpose of this C3SE/NAISS project is to provide common storage for these projects, and to facilitate the connectivity between projects using common data.