354 research outputs found
A simple probabilistic construction yielding generalized entropies and divergences, escort distributions and q-Gaussians
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
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
One-parameter functionals of the R\'{e}nyi and
Tsallis types are calculated both in the position
(subscript ) and momentum () spaces for the azimuthally symmetric
2D nanoring that is placed into the combination of the transverse uniform
magnetic field and the Aharonov-Bohm (AB) flux and whose
potential profile is modelled by the superposition of the quadratic and inverse
quadratic dependencies on the radius . Position (momentum) R\'{e}nyi entropy
depends on the field as a negative (positive) logarithm of
, where
determines the quadratic steepness of the confining potential and
is a cyclotron frequency. This makes the sum
a
field-independent quantity that increases with the principal and azimuthal
quantum numbers and does satisfy corresponding uncertainty relation.
Analytic expression for the lower boundary of the semi-infinite range of the
dimensionless coefficient where the momentum entropies exist reveals
that it depends on the ring geometry, AB intensity and quantum number . It
is proved that there is the only orbital for which both R\'{e}nyi and Tsallis
uncertainty relations turn into the identity at and which is not
necessarily the lowest-energy level. At any coefficient , the
dependence of the position R\'{e}nyi entropy on the AB flux mimics the energy
variation with 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
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
Two families of dependence measures between random variables are introduced.
They are based on the R\'enyi divergence of order and the relative
-entropy, respectively, and both dependence measures reduce to
Shannon's mutual information when their order 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
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
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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