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This article focuses on using topology optimization to design structural geometries in low-temperature type-II superconductors, a field central to quantum computing hardware and cryogenic infrastructure. By mathematically determining optimal defect placements for flux pinning, the research aims to enhance current density and reduce dissipation in future quantum devices. While it involves advanced computational physics, its primary subject is the material science and mathematical modeling essential for advancing quantum technology rather than consumer electronics or general software events.
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Topology optimization of low-temperature type-II superconductors with superconductor-dielectric/vacuum interfaces based on Ginzburg-Landau theory under Weyl gauge

arXiv1 min read

arXiv:2602.14261v5 Announce Type: replace-cross Abstract: Geometrical design is a crucial and challenging strategy for improving the performance of type-II superconductors, because the proper placement of intended defects in the current path contribute to flux pinning, a reduction in dissipation, and an increase in achievable current density. Topology optimization is currently one of the most powerful approaches used to determine consistent structural geometries. Therefore, a topology optimization approach is presented to inversely design structural geometries of low-temperature type-II superconductors with superconductor-dielectric/vacuum interfaces.

Abstract:Geometrical design is a crucial and challenging strategy for improving the performance of type-II superconductors, because the proper placement of intended defects in the current path contribute to flux pinning, a reduction in dissipation, and an increase in achievable current density. Topology optimization is currently one of the most powerful approaches used to determine consistent structural geometries. Therefore, a topology optimization approach is presented to inversely design structural geometries of low-temperature type-II superconductors with superconductor-dielectric/vacuum interfaces.

Superconductivity (cond-mat.supr-con); Mathematical Physics (math-ph); Optimization and Control (math.OC); Computational Physics (physics.comp-ph); Quantum Physics (quant-ph)

arXiv:2602.14261 [cond-mat.supr-con]

(or arXiv:2602.14261v5 [cond-mat.supr-con] for this version)

Full text under the publisher's open licence · 99 words

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