Automatic tuning and drift control for quantum information processing

Quantum information processors are terrifically complicated systems. A quantum processor's controllable behavior depends quite sensitively on a large number of externally controllable parameters, and the processor will only function as intended if these parameters are (1) carefully calibrated, and (2) stabilized to avoid drift over time. As these processors' precision and size (number of qubits) grow, calibration and drift control will need to be optimized and automated. In this talk, we introduce fast, parallelizable feedback protocols for tuning up quantum processors and controlling their drift. These protocols rely only on resources that are already present in all modern quantum processors: the ability to perform quantum circuits, make measurements. They are suitable for both offline tuning and online drift control.