Clean positive operator valued measures
Author(s) -
Francesco Buscemi,
Michael Keyl,
Giacomo Mauro D’Ariano,
Paolo Perinotti,
Reinhard F. Werner
Publication year - 2005
Publication title -
journal of mathematical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.708
H-Index - 119
eISSN - 1089-7658
pISSN - 0022-2488
DOI - 10.1063/1.2008996
Subject(s) - povm , mathematics , hilbert space , operator (biology) , measure (data warehouse) , dimension (graph theory) , pure mathematics , discrete mathematics , quantum , mathematical analysis , quantum mechanics , quantum operation , computer science , data mining , physics , open quantum system , biochemistry , chemistry , repressor , transcription factor , gene
In quantum mechanics the statistics of the outcomes of a measuring apparatusis described by a positive operator valued measure (POVM). A quantum channeltransforms POVM's into POVM's, generally irreversibly, thus loosing some of theinformation retrieved from the measurement. This poses the problem of whichPOVM's are "undisturbed", namely they are not irreversibly connected to anotherPOVM. We will call such POVM clean. In a sense, the clean POVM's would be"perfect", since they would not have any additional "extrinsical" noise. Quiteunexpectedly, it turns out that such cleanness property is largely unrelated tothe convex structure of POVM's, and there are clean POVM's that are notextremal and vice-versa. In this paper we solve the cleannes classificationproblem for number n of outcomes n<=d (d dimension of the Hilbert space), andwe provide a a set of either necessary or sufficient conditions for n>d, alongwith an iff condition for the case of informationally complete POVM's forn=d^2.Comment: Minor changes. amsart 21 pages. Accepted for publication on J. Math. Phy
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