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arxiv: 1310.2155 · v3 · pith:F7RN4235new · submitted 2013-10-08 · 🪐 quant-ph · cs.IT· math-ph· math.IT· math.MP

Lower Bounds for Quantum Parameter Estimation

classification 🪐 quant-ph cs.ITmath-phmath.ITmath.MP
keywords estimationboundsquantumconfidenceheisenberglimitlowerprobe
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The laws of quantum mechanics place fundamental limits on the accuracy of measurements and therefore on the estimation of unknown parameters of a quantum system. In this work, we prove lower bounds on the size of confidence regions reported by any region estimator for a given ensemble of probe states and probability of success. Our bounds are derived from a previously unnoticed connection between the size of confidence regions and the error probabilities of a corresponding binary hypothesis test. In group-covariant scenarios, we find that there is an ultimate bound for any estimation scheme which depends only on the representation-theoretic data of the probe system, and we evaluate its asymptotics in the limit of many systems, establishing a general "Heisenberg limit" for region estimation. We apply our results to several examples, in particular to phase estimation, where our bounds allow us to recover the well-known Heisenberg and shot-noise scaling.

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