2019
DOI: 10.1007/s11128-019-2333-3
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Characterizing nonclassical correlation using affinity

Abstract: Geometric discord (GD), a measure of quantumness of bipartite system, captures minimal nonlocal effects of a quantum state due to locally invariant von Neumann projective measurements. The original version of GD is suffered by local ancilla problem. In this article, we propose a new version of geometric discord using affinity. This quantity satisfies all the necessary criteria of a good measure of quantum correlation for bipartite system and resolves local ancilla problem. We evaluate analytically the proposed… Show more

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Cited by 9 publications
(6 citation statements)
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References 46 publications
(51 reference statements)
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“…where A(ρ, σ) = Tr √ ρ √ σ is the affinity between the states ρ and σ [47,51] and d A (ρ, σ) = 1 − A(ρ, σ) is a affinityinduced metric. In recent times, the usefulness of affinity in characterization of quantum correlation of bipartite state [52], bilocal state [53] and quantum coherence [54,55] is also demonstrated. A similar quantum correlation measure is characterized using Hellinger distance [50].…”
Section: Affinity-based Discordmentioning
confidence: 99%
“…where A(ρ, σ) = Tr √ ρ √ σ is the affinity between the states ρ and σ [47,51] and d A (ρ, σ) = 1 − A(ρ, σ) is a affinityinduced metric. In recent times, the usefulness of affinity in characterization of quantum correlation of bipartite state [52], bilocal state [53] and quantum coherence [54,55] is also demonstrated. A similar quantum correlation measure is characterized using Hellinger distance [50].…”
Section: Affinity-based Discordmentioning
confidence: 99%
“…Different approaches are used for affinity computation, ranging from mathematical computation (such as in [22]), or feedback through medical social network (e.g., in [17,23]), to using data mining techniques such as the Random forest and Gaussian process regression algorithms [24].…”
Section: Computation Of the Affinity Matrix (Correlation Of The Features)mentioning
confidence: 99%
“…Further, it is easy to show that the above-defined metric satisfies all the axioms of a valid distance measure in state space. This metric is also useful in quantifications in quantum resources, such as entanglement [30], nonclassical correlation [32] and quantum coherence. To define affinity-based MIN, we set α=1/2.…”
Section: α-Affinity and Minmentioning
confidence: 99%