2020
DOI: 10.1090/conm/747/15047
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A short history of frames and quantum designs

Abstract: In this survey, we relate frame theory and quantum information theory, focusing on quantum 2-designs. These are arrangements of weighted subspaces which are in a specific sense optimal for quantum state tomography. After a brief introduction, we discuss the role of POVMs in quantum theory, developing the importance of quantum 2-designs. In the final section, we collect many if not most known examples of quantum-2 designs to date.

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Cited by 11 publications
(18 citation statements)
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“…1 In the complex projective space CP d−1 -made of all unit vectors in C d up to phase -a SIC POVM corresponds to a regular d 2 -simplex of maximal size, a so called tight simplex. As one would expect, such highly symmetrical objects are distinguished by various optimality properties [21,27,14,4,10]. Our goal is to put on record the following general characterization.…”
Section: Resultsmentioning
confidence: 99%
“…1 In the complex projective space CP d−1 -made of all unit vectors in C d up to phase -a SIC POVM corresponds to a regular d 2 -simplex of maximal size, a so called tight simplex. As one would expect, such highly symmetrical objects are distinguished by various optimality properties [21,27,14,4,10]. Our goal is to put on record the following general characterization.…”
Section: Resultsmentioning
confidence: 99%
“…Proof. We will show that (1) implies (2). Let T, S be Hilbert Schmidt selfadjoint operators such that T x k , x k = Sx k , x k , for all k.…”
Section: The Solution For the Infinite Dimensional Casementioning
confidence: 98%
“…In this section we will solve the finite dimensional injectivity problem and the state estimation problem for both the real and complex cases. These problems were originally solved by Scott [17] (See also [2]) where the solutions are called informationally complete quantum measurements. We will have to redo this here since we need much more information about the solutions and need proofs in a format that will easily generalize to infinite dimensions.…”
Section: The Solution For the Finite Dimensional Casementioning
confidence: 99%
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