2020
DOI: 10.48550/arxiv.2008.08846
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Spectral analysis for a multi-dimensional split-step quantum walk with a defect

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Cited by 2 publications
(3 citation statements)
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“…To clarify various properties of quantum walks, analysis of eigenvalues of the time evolution is significant. The spectral mapping theorem of quantum walks [6,7,8,11,16,19] is a useful tool for analyzing eigenvalues and is a fundamental theorem for connecting quantum and classical systems. For the finite dimension case, the spectral mapping theorem associates the eigenvalues of two matrices, the time evolution U and a self-adjoint matrix T , by lifting the eigenvalues of T on to the unit circle on the complex plane.…”
Section: Introductionmentioning
confidence: 99%
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“…To clarify various properties of quantum walks, analysis of eigenvalues of the time evolution is significant. The spectral mapping theorem of quantum walks [6,7,8,11,16,19] is a useful tool for analyzing eigenvalues and is a fundamental theorem for connecting quantum and classical systems. For the finite dimension case, the spectral mapping theorem associates the eigenvalues of two matrices, the time evolution U and a self-adjoint matrix T , by lifting the eigenvalues of T on to the unit circle on the complex plane.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, one of the excellent features of the spectral mapping theorem is that it allows us to apply well-known results for classical models to quantum walks. For examples of the applications of the spectral mapping theorem, there are some results of the periodicity [12,14,15,21,22] and the limit averaged measure [8,13,18].…”
Section: Introductionmentioning
confidence: 99%
“…This theorem enables us to analyze a corresponding self-adjoint operator instead of a unitary operator U . In this aspects, there are several results on the spectral analysis by the spectral mapping theorem [10,11,12].…”
Section: Introductionmentioning
confidence: 99%