On approximately symmetric informationally complete positive operator-valued measures and related systems of quantum states
Author(s) -
Andreas Klappenecker,
Martin Rötteler,
Igor E. Shparlinski,
Arne Winterhof
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 - 10.1063/1.1998831
Subject(s) - mutually unbiased bases , mathematics , dimension (graph theory) , operator (biology) , rank (graph theory) , construct (python library) , product (mathematics) , matrix (chemical analysis) , pure mathematics , discrete mathematics , algebra over a field , combinatorics , hilbert space , computer science , geometry , biochemistry , chemistry , repressor , gene , materials science , composite material , programming language , transcription factor
We address the problem of constructing positive operator-valued measures(POVMs) in finite dimension $n$ consisting of $n^2$ operators of rank one whichhave an inner product close to uniform. This is motivated by the relatedquestion of constructing symmetric informationally complete POVMs (SIC-POVMs)for which the inner products are perfectly uniform. However, SIC-POVMs arenotoriously hard to construct and despite some success of constructing themnumerically, there is no analytic construction known. We present twoconstructions of approximate versions of SIC-POVMs, where a small deviationfrom uniformity of the inner products is allowed. The first construction isbased on selecting vectors from a maximal collection of mutually unbiased basesand works whenever the dimension of the system is a prime power. The secondconstruction is based on perturbing the matrix elements of a subset of mutuallyunbiased bases. Moreover, we construct vector systems in $\C^n$ which are almost orthogonaland which might turn out to be useful for quantum computation. Ourconstructions are based on results of analytic number theory.Comment: 29 pages, LaTe
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