E
Eneet Kaur
Researcher at Louisiana State University
Publications - 24
Citations - 529
Eneet Kaur is an academic researcher from Louisiana State University. The author has contributed to research in topics: Quantum entanglement & Quantum channel. The author has an hindex of 12, co-authored 22 publications receiving 398 citations. Previous affiliations of Eneet Kaur include University of Waterloo & National Institute of Information and Communications Technology.
Papers
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Approaches for approximate additivity of the Holevo information of quantum channels
TL;DR: The notion of a generalized channel divergence is defined (which includes the diamond distance as an example), and it is proved that for jointly covariant channels these quantities are maximized by purifications of a state invariant under the covariance group.
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Amortized entanglement of a quantum channel and approximately teleportation-simulable channels
Eneet Kaur,Mark M. Wilde +1 more
TL;DR: It is proved that the amortized entanglement of a channel obeys several desirable properties, and it is shown that the secret-key-agreement and PPT-assisted quantum capacities of channels that are approximately teleportation- or P PT-simulable, respectively are shown.
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Upper bounds on secret-key agreement over lossy thermal bosonic channels
Eneet Kaur,Mark M. Wilde +1 more
TL;DR: A recent advance in the theory of the teleportation simulation of single-mode phase-insensitive Gaussian channels is extended such that it now applies to the relative entropy of entanglement measure, and tighter upper bounds are found on the non-asymptotic secret-key-agreement capacity of the lossy thermal bosonic channel than were previously known.
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Amortized channel divergence for asymptotic quantum channel discrimination
TL;DR: In this paper, it was shown that in the non-asymptotic regime, adaptive strategies do not lead to an asymptotic advantage over non-adaptive strategies.
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Fundamental limits on key rates in device-independent quantum key distribution
TL;DR: It is proved that intrinsic non-locality satisfies certain desirable properties such as faithfulness, convexity, and monotonicity under local operations and shared randomness, and is bounded from above by intrinsic steerability.