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arxiv: 1610.08272 · v1 · pith:HZXXDKKJnew · submitted 2016-10-26 · 🪐 quant-ph

Probabilistic metrology or how some measurement outcomes render ultra-precise estimates

classification 🪐 quant-ph
keywords precisionmeasurementoutcomesestimatesfailurenoiseprobabilisticprobability
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We show on theoretical grounds that, even in the presence of noise, probabilistic measurement strategies (which have a certain probability of failure or abstention) can provide, upon a heralded successful outcome, estimates with a precision that exceeds the deterministic bounds for the average precision. This establishes a new ultimate bound on the phase estimation precision of particular measurement outcomes (or sequence of outcomes). For probe systems subject to local dephasing, we quantify such precision limit as a function of the probability of failure that can be tolerated. Our results show that the possibility of abstaining can set back the detrimental effects of noise.

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