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$\epsilon$-Uniform Mixing in Discrete Quantum Walks
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abstract
We study whether the probability distribution of a discrete quantum walk can get arbitrarily close to uniform, given that the walk starts with a uniform superposition of the outgoing arcs of some vertex. We establish a characterization of this phenomenon on regular non-bipartite graphs in terms of their adjacency eigenvalues and eigenprojections. Using theory from association schemes, we show this phenomenon happens on a strongly regular graph $X$ if and only if $X$ or $\overline{X}$ has parameters $(4m^2, 2m^2\pm m, m^2\pm m, m^2\pm m)$ where $m\ge 2$.
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Cited by 1 Pith paper
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Discrete Quantum Walks with Marked Vertices and Their Average Vertex Mixing Matrices
For discrete quantum walks with Grover coins on unmarked vertices and negative identity coins on marked vertices, the paper derives closed-form expressions and tight bounds for the average vertex mixing matrix.
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