When Does Fuzzy Adaptation Earn Its Complexity? A Calibration-Aware Computational Study of Finite-Shot Entanglement Detection
This computational study evaluates three measurement-allocation strategies for finite-shot entanglement detection across varying detector conditions, finding that while a fuzzy-adaptive approach maximizes detection power under uncertain calibration and drift, it does not consistently minimize estimation error or strictly control false-positive rates, thereby highlighting the need to balance detection gains with robustness and accuracy.