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Operational Resource Theory of Coherence.

TLDR
An operational theory of coherence (or of superposition) in quantum systems is established, by focusing on the optimal rate of performance of certain tasks, by demonstrating that the coherence theory is generically an irreversible theory by a simple criterion that completely characterizes all reversible states.
Abstract
We establish an operational theory of coherence (or of superposition) in quantum systems, by focusing on the optimal rate of performance of certain tasks. Namely, we introduce the two basic concepts-"coherence distillation" and "coherence cost"-in the processing quantum states under so-called incoherent operations [Baumgratz, Cramer, and Plenio, Phys. Rev. Lett. 113, 140401 (2014)]. We, then, show that, in the asymptotic limit of many copies of a state, both are given by simple single-letter formulas: the distillable coherence is given by the relative entropy of coherence (in other words, we give the relative entropy of coherence its operational interpretation), and the coherence cost by the coherence of formation, which is an optimization over convex decompositions of the state. An immediate corollary is that there exists no bound coherent state in the sense that one would need to consume coherence to create the state, but no coherence could be distilled from it. Further, we demonstrate that the coherence theory is generically an irreversible theory by a simple criterion that completely characterizes all reversible states.

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Finite Block Length Analysis on Quantum Coherence Distillation and Incoherent Randomness Extraction

TL;DR: A new assisted incoherent randomness extraction task is introduced and an exact relation between this task and the assisted coherence distillation is established, which strengthens the one-shot relation in the unassisted setting and confirms that this cryptographic framework offers a new perspective to the study of quantum coherencedistillation.
Journal ArticleDOI

Quantum coherence and its distribution in a two-dimensional Heisenberg XY model

TL;DR: In this article , a basis independent measure that is square root of quantum Jensen-Shannon divergence is used to identify quantum phase transitions in the two-dimensional Heisenberg XY system.
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Markovian and non-Markovian dynamics of quantum coherence in the extended XX chain

TL;DR: In this article , the authors investigated the quantum coherence in the $XX$ spin chain with three-spin interaction and found that the single-spin and localized coherence do not decrease but increase with time, which makes the dynamic evolution of two-spin coherence more robust than entanglement and quantum discord.
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One-shot yield-cost relations in general quantum resource theories

TL;DR: In this paper, the authors established a quantitative relation between the one-shot distillable resource yield and dilution cost in terms of transformation errors involved in these processes, which is applicable to quantum state and channel manipulation with respect to any type of quantum resource and any class of free transformations thereof.
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Universal compiling and (No-)Free-Lunch theorems for continuous variable quantum learning

TL;DR: In this article, the authors showed that the number of input-output state pairs needed to learn an unknown unitary can be exponentially smaller when entanglement is used as a resource.
References
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Elements of information theory

TL;DR: The author examines the role of entropy, inequality, and randomness in the design of codes and the construction of codes in the rapidly changing environment.
Journal ArticleDOI

Entanglement of Formation of an Arbitrary State of Two Qubits

TL;DR: In this article, an explicit formula for the entanglement of formation of a pair of binary quantum objects (qubits) as a function of their density matrix was conjectured.
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TL;DR: In this article, the basic aspects of entanglement including its characterization, detection, distillation, and quantification are discussed, and a basic role of entonglement in quantum communication within distant labs paradigm is discussed.
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Inequalities: Theory of Majorization and Its Applications

TL;DR: In this paper, Doubly Stochastic Matrices and Schur-Convex Functions are used to represent matrix functions in the context of matrix factorizations, compounds, direct products and M-matrices.
Journal ArticleDOI

Quantifying Coherence

TL;DR: In this article, a rigorous framework for quantification of coherence and identification of intuitive and easily computable measures for coherence has been proposed by adopting coherence as a physical resource.
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