Calibration in quantum computing is the process of determining and setting the optimal control parameters for each qubit and gate operation, including drive frequencies, pulse amplitudes, pulse shapes, readout settings, and timing offsets. Why it matters. A quantum processor can only perform as well as its calibration allows. Qubit parameters drift due to thermal fluctuations, material defects, and environmental changes, meaning calibration is not a one-time task but an ongoing process. A typical calibration workflow moves through a hierarchy of experiments: first finding the qubit frequency (spectroscopy), then calibrating the pulse amplitude (Rabi oscillations), then measuring coherence (T1, T2/Ramsey), then optimizing gate fidelity (DRAG tuning, randomized benchmarking), and finally tuning multi-qubit interactions. For large processors, this entire hierarchy must be parallelized and automated to maintain performance across all qubits simultaneously. How it connects. The Qblox Scheduler provides a library of calibration experiments with step-by-step tutorials for both beginners and advanced users. Parameterized real-time sweeps on the Q1 Sequence Processor allow fast, high-resolution calibration data collection. The Qblox control stack's excellent analog stability (low drift, low 1/f noise) also reduces how often recalibration is needed in the first place. Learn more about Qblox Scheduler.
