Dimensionality reduction for closed-loop quantum gate calibration
The work introduces a systematic method using Singular Value Decomposition (SVD) stacking to reduce the high dimensionality of pulse parameters needed for quantum gate calibration. This technique identifies a low-dimensional subspace, related to the output space SU(d), allowing experimental tuning with far fewer parameters while preserving local search capabilities.