Evacuating entropy in full-stack quantum computers

As quantum computers advance toward real world applications, schemes to maintain accurate calibration become essential for trustworthy results. In this talk, we present scalable techniques to detect and quantify low frequency instability in full-stack quantum computers based on superconducting qubits. We find that drifts in the system can have a measurable contribution to overall operational fidelities. We discuss lightweight automated re-calibration routines to correct for these errors based on correlations between the sources of instability and on chip properties. This method of stabilization allows full-stack quantum computers to maintain high fidelity gates.