Physical qubit calibration on a directed acyclic graph

High-fidelity control of qubits requires precisely tuned control parameters. Typically, these param-
eters are found through a series of bootstrapped calibration experiments which successively acquire
more accurate information about a physical qubit. However, optimal parameters are typically dif-
ferent between devices and can also drift in time, which begets the need for an efficient calibration
strategy. Here, we introduce a framework to understand the relationship between calibrations as
a directed graph. With this approach, calibration is reduced to a graph traversal problem that is
automatable and extensible.

• Quantum Computing