2015
DOI: 10.1007/s40509-015-0050-x
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Generic properties for random repeated quantum iterations

Abstract: We denote by M n the set of n by n complex matrices. Given a fixed density matrix β : C n → C n and a fixed unitary operator U : C n ⊗ C n → C n ⊗ C n , the transformation :describes the interaction of Q with the external source β. The result of this operation is (Q). If Q is a density operator then (Q) is also a density operator. The main interest is to know what happens when we repeat several times the action of in an initial fixed density operator Q 0 . This procedure is known as random repeated quantum ite… Show more

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Cited by 2 publications
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“…We are now fully prepared to study different families of covariant maps in T d (C). The DUC and CDUC maps were introduced in [47,49], where they were dubbed mean unitary conjugation channels; we use here a different name to mirror the case of invariant bipartite matrices. We will denote the sets of DUC, CDUC and DOC maps in 7.…”
Section: Entanglement Breaking If and Only If J(φ) Is Separablementioning
confidence: 99%
See 1 more Smart Citation
“…We are now fully prepared to study different families of covariant maps in T d (C). The DUC and CDUC maps were introduced in [47,49], where they were dubbed mean unitary conjugation channels; we use here a different name to mirror the case of invariant bipartite matrices. We will denote the sets of DUC, CDUC and DOC maps in 7.…”
Section: Entanglement Breaking If and Only If J(φ) Is Separablementioning
confidence: 99%
“…In the latter half of this paper, we switch perspectives and discuss everything from the point of view of linear maps between matrix algebras, using the Choi-Jamiołkowski isomorphism. Quantum channels which are covariant with respect to the action of diagonal unitary matrices have appeared in the literature under the name of "mean unitary conjugation channels" (MUCC) [47,49], we dub them here DUC, CDUC, DOC, in parallel with the case of bipartite states. The action of these maps on the space of d × d complex matrices is parameterized by three d × d complex matrices: A, B and C (with diag B = diag C = 0), and has the following form:…”
Section: Introductionmentioning
confidence: 99%