2014
DOI: 10.1103/physreva.89.022338
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Entropy rate of message sources driven by quantum walks

Abstract: The amount of information generated by a discrete time stochastic processes in a single step can be quantified by the entropy rate. We investigate the differences between two discrete time walk models, the discrete time quantum walk and the classical random walk in terms of entropy rate. We develop analytical methods to calculate and approximate it. This allows us to draw conclusions about the differences between classical stochastic and quantum processes in terms of the classical information theory.

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Cited by 11 publications
(14 citation statements)
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References 34 publications
(52 reference statements)
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“…[1,Sec. 4.2] and [31]. The idea has been recently rediscovered and analysed by Crutchfield and Wiesner under the name of quantum entropy rate [18], [54].…”
Section: Introductionmentioning
confidence: 99%
“…[1,Sec. 4.2] and [31]. The idea has been recently rediscovered and analysed by Crutchfield and Wiesner under the name of quantum entropy rate [18], [54].…”
Section: Introductionmentioning
confidence: 99%
“…PACS numbers: 03.67.Ac, 05.40.FbQuantum walks are analogs of classical random walks, gaining considerable attention since their introduction in the nineties [1,2]. They did prove themselves as interesting constructs which find their applications gradually [3][4][5][6][7][8][9][10][11][12][13] (for review see [14]). Recent experiments demonstrated their basic properties [15], and stimulated further theoretical studies.…”
mentioning
confidence: 99%
“…Suppose {W p } p∈N , W p ∈ R(T) is a Cauchy sequence. By (14) there exists W = lim p→∞ W p , where the limit is taken with respect to the norm • DT .…”
Section: Closeness With Respect To • Dtmentioning
confidence: 99%
“…In [1] several mutual relations between these approaches are given. Some works (for example, [2,21,19,4,14]) deal with the finite-dimensional case (#X < ∞). In [8,9] a construction for the measure entropy is proposed for doubly stochastic (bistochastic) operators on various spaces of functions on a measure space.…”
Section: Introductionmentioning
confidence: 99%