2021
DOI: 10.1038/s42005-021-00572-w
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Optimal probes for global quantum thermometry

Abstract: Quantum thermodynamics has emerged as a separate sub-discipline, revising the concepts and laws of thermodynamics, at the quantum scale. In particular, there has been a disruptive shift in the way thermometry, and thermometers are perceived and designed. Currently, we face two major challenges in quantum thermometry. First, all of the existing optimally precise temperature probes are local, meaning their operation is optimal only for a narrow range of temperatures. Second, aforesaid optimal local probes mandat… Show more

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Cited by 38 publications
(25 citation statements)
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“…Hence, we have derived a local form of thermometry as a limit of the global framework. Note that the quantifier ε ¼ R dθpðθÞFðθÞ −1 has been proposed as an attempt to supersede the local paradigm [41,42]. Notwithstanding its merits-Ref.…”
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confidence: 99%
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“…Hence, we have derived a local form of thermometry as a limit of the global framework. Note that the quantifier ε ¼ R dθpðθÞFðθÞ −1 has been proposed as an attempt to supersede the local paradigm [41,42]. Notwithstanding its merits-Ref.…”
mentioning
confidence: 99%
“…Notwithstanding its merits-Ref. [42] reports results beyond standard local thermometry-such ε is not scale invariant. This might be ignored if the prior probability is narrowly concentrated around some fixed θ 0 , since then εCR…”
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confidence: 99%
“…Such a situation is clearly not ideal given that the temperature is the very quantity that we wish to estimate [ 33 , 34 ]. Approaches to address this issue include introducing global estimation schemes [ 13 , 46 , 47 , 48 , 49 ] and biased estimators [ 35 ]. Here, we demonstrate that, if the interactions are random and governed by a particular WTD, this randomicity has an important effect on the value of the parameter that determines the possible advantage over the thermal Fisher information.…”
Section: Stochastic Approachmentioning
confidence: 99%
“…The sine error D[ θ(x), θ] = 4 sin 2 {[ θ(x) − θ]/2}, in particular, is often employed for this purpose [1,[42][43][44][45], and while there are other functions D that are appropriate for phase estimation [22,42], it is instructive to appreciate that the square error D[ θ(x), θ] = [ θ(x) − θ] 2 is generally not one of them. 1 In the context of thermometry [33,[47][48][49][50][51][52][53][54][55][56], the unknown parameter, temperature, establishes an energy scale [47,57]. In turn, this motivates the search for an estimation technique that preserves scale invariance [24,58,59], an idea that has recently be shown to lead to a logarithmic deviation function D[ θ(x), θ] = log 2 [ θ(x)/θ] [33].…”
Section: Introductionmentioning
confidence: 99%