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arxiv: 1709.03591 · v1 · pith:I55BVZWRnew · submitted 2017-09-11 · 🧮 math.CO · quant-ph

A New Perspective on the Average Mixing Matrix

classification 🧮 math.CO quant-ph
keywords matrixmixingaveragegraphwalkadjacencymatricesquantum
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We consider the continuous-time quantum walk defined on the adjacency matrix of a graph. At each instant, the walk defines a mixing matrix which is doubly-stochastic. The average of the mixing matrices contains relevant information about the quantum walk and about the graph. We show that it is the matrix of transformation of the orthogonal projection onto the commutant algebra of the adjacency matrix, restricted to diagonal matrices. Using this formulation of the average mixing matrix, we find connections between its rank and automorphisms of the graph.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Schur States, Average Mixing, and Counting Trees on Line Graphs' CTQW

    quant-ph 2026-05 unverdicted novelty 6.0

    For uniform commutative initial edge states in CTQW on the line graph, the weighted spanning tree count tn(G, 1/m) equals tn(G) divided by m to the power n-1.