Optimization of Single Flux Quantum (SFQ) Logic Cells

Sponsor: Intelligence Advanced Research Projects Activity (IARPA)

Due to fabrication uncertainties, it is important to have cells that can tolerate variations. For this project, we introduce a hybrid optimization algorithm for improving critical parameter margins of the cells. With Monte Carlo simulations, we show that increased critical margins improve the parametric yield.

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