Predicting the Temporal Variability of Error Rates in Superconducting Quantum Processors: Mitigating Error Accuracy Loss in Queue-Based Quantum Computing Platforms [Focus: Quantum Software and its Engineering]

Multiple layers of the quantum system full-stack require data on temporal variations in error rates of physical elements. This article proposes using five machine learning and time-series models to predict error rate variability for two-qubit gates based on calibration data.