SuperVoxHenry Tucker-Enhanced and FFT-Accelerated Inductance Extraction for Voxelized Superconducting Structures

TL;DR

SuperVoxHenry is a novel inductance extraction simulator for voxelized superconducting structures that leverages Tucker decompositions and FFT acceleration to improve efficiency and accuracy.

Contribution

It extends VoxHenry by integrating a two-fluid model, Tucker decompositions, and algebraic multigrid techniques for enhanced superconducting structure analysis.

Findings

Reduced memory usage through Tucker decompositions

Faster setup times with FFT acceleration

Improved accuracy in inductance extraction

Abstract

This paper introduces SuperVoxHenry, an inductance extraction simulator for analyzing voxelized superconducting structures. SuperVoxHenry extends the capabilities of the inductance extractor VoxHenry for analyzing the superconducting structures by incorporating the following enhancements. 1. SuperVoxHenry utilizes a two-fluid model to account for normal currents and supercurrents. 2. SuperVoxHenry introduces the Tucker decompositions to reduce the memory requirement of circulant tensors as well as the setup time of the simulator. 3. SuperVoxHenry incorporates an aggregation-based algebraic multigrid technique to obtain the sparse preconditioner.