2007
DOI: 10.1103/physreva.76.022333
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Quantum optical random walk: Quantization rules and quantum simulation of asymptotics

Abstract: Rules for quantizing the walker+coin parts of a classical random walk are provided by treating them as interacting quantum systems. A quantum optical random walk (QORW), is introduced by means of a new rule that treats quantum or classical noise affecting the coin's state, as sources of quantization. The long term asymptotic statistics of QORW walker's position that shows enhanced diffusion rates as compared to classical case, is exactly solved. A quantum optical cavity implementation of the walk provides the … Show more

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Cited by 11 publications
(12 citation statements)
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“…Quantum walks (QWs) were introduced as a quantization of random walks (RWs) [7]. QWs are determined by a graph, its induced Hilbert space H and a unitary time evolution operator on H. The amplitude of quantum walker is obtained by this unitary iteration to some initial state.…”
Section: Background and Notationmentioning
confidence: 99%
“…Quantum walks (QWs) were introduced as a quantization of random walks (RWs) [7]. QWs are determined by a graph, its induced Hilbert space H and a unitary time evolution operator on H. The amplitude of quantum walker is obtained by this unitary iteration to some initial state.…”
Section: Background and Notationmentioning
confidence: 99%
“…OQWs are formulated as a quantum Markov chain on lattices or graphs. Unlike unitary quantum walks (UQWs) [6,8] where dissipation and decoherence effects need to be minimised or eliminated when dealing with quantum systems [10,14], in OQWs, these effects are naturally included into the description of the dynamics of the open quantum "walker". OQWs deal with density matrices instead of pure states.…”
Section: Introductionmentioning
confidence: 99%
“…This constitutes a dynamic realization of the coin tossing process. The diagonal elements of the resulting walker's density matrix E cl (ρ w ) =Tr c (AdV cl (ρ c ⊗ ρ w )), realizes the CRW on the integers [5], [6].…”
Section: Introductionmentioning
confidence: 99%