A symmetry-informed adaptive Bayesian method for low-data quantum parameter estimation yields a five-fold reduction in fractional variance and requires only one-third the data points of standard procedures in an ultracold caesium atom experiment.
D’Agostini, Bayesian inference in processing experi- mental data: principles and basic applications, Rep
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Adaptive, symmetry-informed Bayesian metrology for precise quantum technology measurements
A symmetry-informed adaptive Bayesian method for low-data quantum parameter estimation yields a five-fold reduction in fractional variance and requires only one-third the data points of standard procedures in an ultracold caesium atom experiment.