Predictive analytics for cryogenic CMOS in future quantum computing systems

This paper presents predictive analysis techniques to analyze and optimize ultra-low power analog/mixed signal designs at cryogenic temperatures for future quantum computing applications. Analysis with 6σ variation using Mixture Important Sampling (MixIS) techniques leads to the determination of compliance of spurious tones at the quantum controller output and optimization of power consumption with high levels of modeling and matching uncertainties.