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Quasi-Fine-Grained Uncertainty Relations

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arxiv 1807.07829 v3 pith:ECEFT5NV submitted 2018-07-20 quant-ph

classification quant-ph
keywords uncertaintyquantumrelationsfine-grainedmemoryprincipleapproachcomputable
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Nonlocality, which is the key feature of quantum theory, has been linked with the uncertainty principle by fine-grained uncertainty relations, by considering combinations of outcomes for different measurements. However, this approach assumes that information about the system to be fine-grained is local, and does not present an explicitly computable bound. Here, we generalize above approach to general quasi-fine-grained uncertainty relations (QFGURs) which applies in the presence of quantum memory and provides conspicuously computable bounds to quantitatively link the uncertainty to entanglement and Einstein-Podolsky-Rosen (EPR) steering, respectively. Moreover, our QFGURs provide a framework to unify three important forms of uncertainty relations, i.e., universal uncertainty relations, uncertainty principle in the presence of quantum memory, and fine-grained uncertainty relation. This result gives a direct significance to the uncertainty principle, and allows us to determine whether a quantum measurement exhibits typical quantum correlations, meanwhile, it reveals a fundamental connection between basic elements of quantum theory, specifically, uncertainty measures, combined outcomes for different measurements, quantum memory, entanglement and EPR steering.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The Complementary Information Principle of Quantum Mechanics

    quant-ph 2019-08 conditional novelty 7.0 of 10

    The paper derives tight, SDP-computable majorization bounds for the probability vector of a post-test measurement conditioned on a pre-test outcome, and uses them to outer-approximate arbitrary uncertainty regions.

  2. Strong unitary uncertainty relations

    quant-ph 2019-08 conditional novelty 5.0 of 10

    The authors provide a family of lower bounds on the product of variances of unitary operators, each at least as strong as the Gram-determinant bound of Bong et al., and tighter in many cases.

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