2008
DOI: 10.1103/physreva.77.012328
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Minimum-error discrimination between mixed quantum states

Abstract: We derive a general lower bound on the minimum-error probability for ambiguous discrimination between arbitrary m mixed quantum states with given prior probabilities. When m = 2, this bound is precisely the well-known Helstrom limit. Also, we give a general lower bound on the minimum-error probability for discriminating quantum operations. Then we further analyze how this lower bound is attainable for ambiguous discrimination of mixed quantum states by presenting necessary and sufficient conditions related to … Show more

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Cited by 61 publications
(55 citation statements)
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“…, A r . In this section we review a lower bound on the optimal error probability for discriminating between r given states in terms of the optimal pairwise error probabilities, originally given in [45]. Let us thereto define the following quantities:…”
Section: Pairwise Discrimination and Lower Decoupling Boundsmentioning
confidence: 99%
See 1 more Smart Citation
“…, A r . In this section we review a lower bound on the optimal error probability for discriminating between r given states in terms of the optimal pairwise error probabilities, originally given in [45]. Let us thereto define the following quantities:…”
Section: Pairwise Discrimination and Lower Decoupling Boundsmentioning
confidence: 99%
“…In Appendix B we show how our approaches work in the classical case (when all operators commute), thus providing various alternative proofs for (5) in the classical case. In Appendix C we review the pure state case; we show an elementary way to derive the Chernoff bound theorem (4) for two pure states, and show how the combination of the singleshot bounds of [19] and [45] yield (5) for an arbitrary number of pure states. In Appendix D we review the dual formulation of the optimal error probability due to [53].…”
Section: Introductionmentioning
confidence: 99%
“…Because of the equal overlap between our input states, the minimum error rate for MESD in d dimensions [43,49] reduces to…”
mentioning
confidence: 99%
“…Optimal measurements for group-covariant state sets have been well investigated, and it has been derived that a G-covariant optimal measurement exists for a G-covariant state set under several optimality criteria [5-8,17,23,36,38,39]. These results not only help us to obtain analytical optimal solutions (e.g., [40][41][42]), but also are useful for developing computationally efficient algorithms for obtaining optimal solutions [43,44]. In this section, we generalize these results to our generalized optimization problems.…”
Section: Group Covariant Optimization Problemmentioning
confidence: 96%