354 research outputs found

    A simple probabilistic construction yielding generalized entropies and divergences, escort distributions and q-Gaussians

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    We give a simple probabilistic description of a transition between two states which leads to a generalized escort distribution. When the parameter of the distribution varies, it defines a parametric curve that we call an escort-path. The R\'enyi divergence appears as a natural by-product of the setting. We study the dynamics of the Fisher information on this path, and show in particular that the thermodynamic divergence is proportional to Jeffreys' divergence. Next, we consider the problem of inferring a distribution on the escort-path, subject to generalized moments constraints. We show that our setting naturally induces a rationale for the minimization of the R\'enyi information divergence. Then, we derive the optimum distribution as a generalized q-Gaussian distribution

    Divergence Measures

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    Data science, information theory, probability theory, statistical learning and other related disciplines greatly benefit from non-negative measures of dissimilarity between pairs of probability measures. These are known as divergence measures, and exploring their mathematical foundations and diverse applications is of significant interest. The present Special Issue, entitled “Divergence Measures: Mathematical Foundations and Applications in Information-Theoretic and Statistical Problems”, includes eight original contributions, and it is focused on the study of the mathematical properties and applications of classical and generalized divergence measures from an information-theoretic perspective. It mainly deals with two key generalizations of the relative entropy: namely, the R_ényi divergence and the important class of f -divergences. It is our hope that the readers will find interest in this Special Issue, which will stimulate further research in the study of the mathematical foundations and applications of divergence measures

    R\'{e}nyi and Tsallis entropies of the Aharonov-Bohm ring in uniform magnetic fields

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    One-parameter functionals of the R\'{e}nyi Rρ,γ(α)R_{\rho,\gamma}(\alpha) and Tsallis Tρ,γ(α)T_{\rho,\gamma}(\alpha) types are calculated both in the position (subscript ρ\rho) and momentum (γ\gamma) spaces for the azimuthally symmetric 2D nanoring that is placed into the combination of the transverse uniform magnetic field B\bf B and the Aharonov-Bohm (AB) flux ϕAB\phi_{AB} and whose potential profile is modelled by the superposition of the quadratic and inverse quadratic dependencies on the radius rr. Position (momentum) R\'{e}nyi entropy depends on the field BB as a negative (positive) logarithm of ωeff(ω02+ωc2/4)1/2\omega_{eff}\equiv\left(\omega_0^2+\omega_c^2/4\right)^{1/2}, where ω0\omega_0 determines the quadratic steepness of the confining potential and ωc\omega_c is a cyclotron frequency. This makes the sum Rρnm(α)+Rγnm(α2α1){R_\rho}_{nm}(\alpha)+{R_\gamma}_{nm}(\frac{\alpha}{2\alpha-1}) a field-independent quantity that increases with the principal nn and azimuthal mm quantum numbers and does satisfy corresponding uncertainty relation. Analytic expression for the lower boundary of the semi-infinite range of the dimensionless coefficient α\alpha where the momentum entropies exist reveals that it depends on the ring geometry, AB intensity and quantum number mm. It is proved that there is the only orbital for which both R\'{e}nyi and Tsallis uncertainty relations turn into the identity at α=1/2\alpha=1/2 and which is not necessarily the lowest-energy level. At any coefficient α\alpha, the dependence of the position R\'{e}nyi entropy on the AB flux mimics the energy variation with ϕAB\phi_{AB} what, under appropriate scaling, can be used for the unique determination of the associated persistent current. Similarities and differences between the two entropies and their uncertainty relations are discussed too

    Holographic duality from random tensor networks

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    Tensor networks provide a natural framework for exploring holographic duality because they obey entanglement area laws. They have been used to construct explicit toy models realizing many interesting structural features of the AdS/CFT correspondence, including the non-uniqueness of bulk operator reconstruction in the boundary theory. In this article, we explore the holographic properties of networks of random tensors. We find that our models naturally incorporate many features that are analogous to those of the AdS/CFT correspondence. When the bond dimension of the tensors is large, we show that the entanglement entropy of boundary regions, whether connected or not, obey the Ryu-Takayanagi entropy formula, a fact closely related to known properties of the multipartite entanglement of assistance. Moreover, we find that each boundary region faithfully encodes the physics of the entire bulk entanglement wedge. Our method is to interpret the average over random tensors as the partition function of a classical ferromagnetic Ising model, so that the minimal surfaces of Ryu-Takayanagi appear as domain walls. Upon including the analog of a bulk field, we find that our model reproduces the expected corrections to the Ryu-Takayanagi formula: the minimal surface is displaced and the entropy is augmented by the entanglement of the bulk field. Increasing the entanglement of the bulk field ultimately changes the minimal surface topologically in a way similar to creation of a black hole. Extrapolating bulk correlation functions to the boundary permits the calculation of the scaling dimensions of boundary operators, which exhibit a large gap between a small number of low-dimension operators and the rest. While we are primarily motivated by AdS/CFT duality, our main results define a more general form of bulk-boundary correspondence which could be useful for extending holography to other spacetimes.Comment: 57 pages, 13 figure

    Two Measures of Dependence

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    Two families of dependence measures between random variables are introduced. They are based on the R\'enyi divergence of order α\alpha and the relative α\alpha-entropy, respectively, and both dependence measures reduce to Shannon's mutual information when their order α\alpha is one. The first measure shares many properties with the mutual information, including the data-processing inequality, and can be related to the optimal error exponents in composite hypothesis testing. The second measure does not satisfy the data-processing inequality, but appears naturally in the context of distributed task encoding.Comment: 40 pages; 1 figure; published in Entrop

    Group transference techniques for the estimation of the decoherence times and capacities of quantum Markov semigroups

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    Capacities of quantum channels and decoherence times both quantify the extent to which quantum information can withstand degradation by interactions with its environment. However, calculating capacities directly is known to be intractable in general. Much recent work has focused on upper bounding certain capacities in terms of more tractable quantities such as specific norms from operator theory. In the meantime, there has also been substantial recent progress on estimating decoherence times with techniques from analysis and geometry, even though many hard questions remain open. In this article, we introduce a class of continuous-time quantum channels that we called transferred channels, which are built through representation theory from a classical Markov kernel defined on a compact group. We study two subclasses of such kernels: H\"ormander systems on compact Lie-groups and Markov chains on finite groups. Examples of transferred channels include the depolarizing channel, the dephasing channel, and collective decoherence channels acting on dd qubits. Some of the estimates presented are new, such as those for channels that randomly swap subsystems. We then extend tools developed in earlier work by Gao, Junge and LaRacuente to transfer estimates of the classical Markov kernel to the transferred channels and study in this way different non-commutative functional inequalities. The main contribution of this article is the application of this transference principle to the estimation of various capacities as well as estimation of entanglement breaking times, defined as the first time for which the channel becomes entanglement breaking. Moreover, our estimates hold for non-ergodic channels such as the collective decoherence channels, an important scenario that has been overlooked so far because of a lack of techniques.Comment: 35 pages, 2 figures. Close to published versio
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