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.
Quantum metrology in the finite-s ample regime
2 Pith papers cite this work. Polarity classification is still indexing.
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Extends Fano bounds to sufficiency of low conditional entropy and defines a quantum entanglement task for infinite-dimensional systems with bounds via maximal singlet fraction of finite-dimensional approximations.
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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.
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On the coherent extension of some Fano-type learning bounds
Extends Fano bounds to sufficiency of low conditional entropy and defines a quantum entanglement task for infinite-dimensional systems with bounds via maximal singlet fraction of finite-dimensional approximations.