2001
DOI: 10.1103/physreva.64.064303
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Optimal conclusive discrimination of two nonorthogonal pure product multipartite states through local operations

Abstract: We consider one copy of a quantum system prepared in one of two non-orthogonal pure product states of multipartite distributed among separated parties. We show that there exist protocols which achieve optimal conclusive discrimination by means of local operations and classical communications(LOCC) as good as by global measurements. Also, we show a protocol which minimizes the average number of local operations. Our result implies that two pure product multipartite states might not have the non-local property a… Show more

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Cited by 52 publications
(17 citation statements)
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“…Ref. [7][8][9][10][11]) or to the more general class of stochastic LOCC measurements (or separable measurements [17]), cf. e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Ref. [7][8][9][10][11]) or to the more general class of stochastic LOCC measurements (or separable measurements [17]), cf. e.g.…”
Section: Introductionmentioning
confidence: 99%
“…In the case of 32 , 46 48 , the globally optimal UD is always possible only with finite-round LOCC no matter what two pure states with arbitrary prior probabilities are given, i.e., . However, in the case of , can be less than .…”
Section: Resultsmentioning
confidence: 99%
“…Our result means that sets of linearly independent product states can be classified into three types in terms of optimal UD: Type I where NLWE does not occur regardless of nonzero prior probabilities (e.g., two multipartite pure states 6 , 32 , 46 48 ), Type II where NLWE occurs regardless of nonzero prior probabilities (e.g., domino states 5 , indistinguishable product basis 44 , and Example 2 ), and Type III where NLWE occurs depending on nonzero prior probabilities (e.g. Example 1 ).…”
Section: Discussionmentioning
confidence: 95%
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“…Thus, so-called unambiguous discrimination strategy is introduced for quantum states which are not necessarily mutually orthogonal [2], [3], [4], [5], [6], [7], [? ], [10], [11], [12], [13], [14]. In contrast to perfect discrimination where one can always identify the state, unambiguous discrimination guarantees that except for an inconclusive probability, one can always get the correct state with zero error probability.…”
Section: Introductionmentioning
confidence: 99%