1979
DOI: 10.1137/1123048
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On Asymptotically Optimal Hypothesis Testing in Quantum Statistics

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Cited by 90 publications
(89 citation statements)
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“…The null hypothesis is then accepted or rejected according to the outcome of the measurement and the specified decision rule. The task of finding this optimal measurement is so fundamental that it was one of the first problems considered in the field of quantum information theory; it was solved in the one-copy case more than 30 years ago by Helstrom and Holevo [14,17]. We refer to the generalised ML-tests as Holevo-Helstrom tests.…”
Section: Introductionmentioning
confidence: 99%
“…The null hypothesis is then accepted or rejected according to the outcome of the measurement and the specified decision rule. The task of finding this optimal measurement is so fundamental that it was one of the first problems considered in the field of quantum information theory; it was solved in the one-copy case more than 30 years ago by Helstrom and Holevo [14,17]. We refer to the generalised ML-tests as Holevo-Helstrom tests.…”
Section: Introductionmentioning
confidence: 99%
“…The problem is to discriminate two sources that output many identical copies of one out of two different quantum states and , and the question is to identify the exponent arising asymptotically when performing the optimal test to discriminate them. This task is so fundamental that it was probably the first problem ever considered in the field of quantum information theory; it was solved in the one-copy case more than 30 years ago [3,4]. In this Letter, we finally identify the asymptotic error exponent when the optimal strategy for discriminating the states is used.…”
mentioning
confidence: 99%
“…We will not further consider the critical point (π, π) because it does not yield a maximum of Eq. (15). In particular, for r 1 ≤ 0, r 2 ≥ 0, and x 1 ,…”
Section: Calculation Of Pminmentioning
confidence: 97%
“…Because the energy constraint is independent of θ 1 , θ 2 , it does not have to be taken into account to find the critical angles of the function in Eq. (15). We will not further consider the critical point (π, π) because it does not yield a maximum of Eq.…”
Section: Calculation Of Pminmentioning
confidence: 99%