Flux trapping in superconducting integrated circuits cause circuits to operate with reduced margins, or to fail completely. Moats are used in superconducting ground planes to create low energy locations for flux trapping. Moat design and placement strategies have been presented before, and several experiments published to evaluate moat efficiency. Although fluxons can be steered to moats to prevent trapping in or near Josephson junctions or inductive interconnects, the flux in a moat couples to nearby structures and induces dc currents in superconducting loops. In this paper, we discuss a set of numerical simulation tools for flux trapping analysis, developed under the IARPA SuperTools project. These tools are used to extract compact models for magnetic flux trapped in moats, including the magnetic coupling to superconducting structures. An open-source superconducting transient simulation engine, called JoSIM, is used to simulate these compact models. To evaluate the magnetic coupling of different moat configurations, we developed a set of a flux linkage experiments. Test structures were designed for the multi-layer MIT Lincoln Laboratory SFQ5ee process that allow for flux insertion into moats of different configurations. From experimental results we measure the effects of trapped flux, in different moat structures, on SQUID parameters and use the results to validate the compact models used by our tools.
FastHenry is a powerful numerical engine with which to calculate inductance in superconducting structures, but modern high-end multilayer fabrication processes result in dense calculation problems for which it was not optimized. We identify these shortcomings for typical calculation problems and present algorithmic improvements and multicore parallelization to increase computational efficiency. We attain performance increases of one to two orders of magnitude for models of real circuit layouts. We also show that these multicore methods deliver similar performance increases when applied to an engine that uses tetrahedral elements.
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