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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Redefines quantum states as equivalence classes of density operators to show the contradiction between unitary Schrödinger dynamics and outcome reduction becomes negligible in a suitable limit, unifying with decoherence and von Neumann entropy ideas.
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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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Emergence of outcomes in quantum mechanics
Redefines quantum states as equivalence classes of density operators to show the contradiction between unitary Schrödinger dynamics and outcome reduction becomes negligible in a suitable limit, unifying with decoherence and von Neumann entropy ideas.