This article 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. First, SuperVoxHenry utilizes a two-fluid model to account for normal currents and supercurrents. Second, SuperVoxHenry introduces the Tucker decompositions to reduce the memory requirement of circulant tensors as well as the setup time of the simulator. Finally, SuperVoxHenry incorporates an aggregation-based algebraic multigrid technique to obtain the sparse preconditioner. With these enhancements, SuperVoxHenry allows extracting the inductance of large-scale superconducting structures on a desktop computer. The accuracy, efficiency, and applicability of the proposed SuperVoxHenry have been demonstrated through the inductance extraction of various superconducting structures, including superconducting thin film inductors, a sharp bend, as well as a subsystem of an energy-efficient single flux quantum circuit.

中文翻译：

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SuperVoxHenry：体素化超导结构的 Tucker 增强和 FFT 加速电感提取

本文介绍了 SuperVoxHenry，这是一种用于分析体素化超导结构的电感提取模拟器。SuperVoxHenry 通过合并以下增强功能扩展了电感提取器 VoxHenry 用于分析超导结构的功能。首先，SuperVoxHenry 利用双流体模型来解释正常电流和超电流。其次，SuperVoxHenry 引入了 Tucker 分解以减少循环张量的内存需求以及模拟器的设置时间。最后，SuperVoxHenry 结合了基于聚合的代数多重网格技术来获得稀疏预处理器。通过这些增强功能，SuperVoxHenry 允许在台式计算机上提取大型超导结构的电感。准确性、效率、