2019
DOI: 10.1088/1367-2630/ab3734
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Optimal common resource in majorization-based resource theories

Abstract: We address the problem of finding the optimal common resource for an arbitrary family of target states in quantum resource theories based on majorization, that is, theories whose conversion law between resources is determined by a majorization relationship, such as it happens with entanglement, coherence or purity. We provide a conclusive answer to this problem by appealing to the completeness property of the majorization lattice. We give a proof of this property that relies heavily on the more geometric const… Show more

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Cited by 13 publications
(30 citation statements)
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“…Clearly, the majorization lattice is a bounded lattice, with top and bottom elements e 1 and e d , respectively. Moreover, it turns out that the majorization lattice is indeed complete [20][21][22]. In other words, the infimum and supremum exist for every family of probability vectors in ∆ ↓ d .…”
Section: Preliminaries: Majorization Latticementioning
confidence: 99%
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“…Clearly, the majorization lattice is a bounded lattice, with top and bottom elements e 1 and e d , respectively. Moreover, it turns out that the majorization lattice is indeed complete [20][21][22]. In other words, the infimum and supremum exist for every family of probability vectors in ∆ ↓ d .…”
Section: Preliminaries: Majorization Latticementioning
confidence: 99%
“…For completeness, in Appendix B we recall the explicit algorithm to compute the upper envelope given in Ref. [22]. When the set P ⊆ ∆ ↓ d is a convex polytope, the corresponding infimum and supremum can be computed as the infimum and supremum of the set of vertices, vert(P), as explained in the following Lemma.…”
Section: Preliminaries: Majorization Latticementioning
confidence: 99%
“…The majorization relation is preorder relation on the set ∆ d and a partial order on the set ∆ ↓ d . Moreover, the set ∆ ↓ d together with the majorization relation is a complete lattice 1 [12,13], and the algorithms to obtain the supremum and infimum can be found in [13][14][15]. In particular, the supremum of a set U ⊆ ∆ ↓ d , denoted as U, can be computed as follows.…”
Section: B Necessary and Sufficient Conditions For Coherent Transform...mentioning
confidence: 99%
“…Let L U be the upper envelope 2 of the polygonal curve given by the linear interpolation of the set of points {(j, S j )} 0≤j≤d , where S j is the supremum of s j (u) for all u ∈ U and s j (u) = j−1 i=0 u i , with the convention S 0 = 0. As it is shown in [13], L U is the Lorenz curve 3 associated to the probability vector U.…”
Section: B Necessary and Sufficient Conditions For Coherent Transform...mentioning
confidence: 99%
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