Concurrence as a measure of Markovianity: concurrence versus distinguishability and divisibility

Concurrence as a measure of Markovianity: concurrence versus distinguishability and divisibility We examine the measure of Markovianity based on entanglement through two typical dynamical models in qubit systems and compare it with the measures of Markovianity based on state distinguishability and dynamical divisibility. We find that divisible dynamics always leads to the monotonic decrease in concurrence, but distinguishability does not constrain its behavior in the same way. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quantum Information Processing Springer Journals

Concurrence as a measure of Markovianity: concurrence versus distinguishability and divisibility

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Publisher
Springer US
Copyright
Copyright © 2016 by Springer Science+Business Media New York
Subject
Physics; Quantum Information Technology, Spintronics; Quantum Computing; Data Structures, Cryptology and Information Theory; Quantum Physics; Mathematical Physics
ISSN
1570-0755
eISSN
1573-1332
D.O.I.
10.1007/s11128-016-1306-z
Publisher site
See Article on Publisher Site

Abstract

We examine the measure of Markovianity based on entanglement through two typical dynamical models in qubit systems and compare it with the measures of Markovianity based on state distinguishability and dynamical divisibility. We find that divisible dynamics always leads to the monotonic decrease in concurrence, but distinguishability does not constrain its behavior in the same way.

Journal

Quantum Information ProcessingSpringer Journals

Published: Mar 30, 2016

References

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