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This paper advances the theoretical understanding of Laplacian quantum walks by quantifying "laziness" through the trace of the average mixing matrix, identifying specific graph topologies like stars and complete multipartite graphs as exhibiting high return probabilities. By establishing a hierarchy of laziness across different connected graphs and trees, the work provides new combinatorial tools for analyzing quantum dynamics on structured networks. These findings contribute directly to the mathematical foundations required for optimizing quantum algorithms that rely on walk-based search or sampling mechanisms.
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Laziness of Quantum Walks on Graphs

arXiv2 min read

arXiv:2608.20739v1 Announce Type: cross Abstract: The trace of the average mixing matrix of a quantum walk measures the "laziness" of the walk: the higher the trace, the more likely that the walker returns home in the long run. In this paper, we develop tools to study this graph invariant arising from Laplacian quantum walks. It is known that the complete graph $K_n$ is the laziest connected graph on $n$ vertices. Using our machinery, we show that the star $S_n$ is the second laziest connected graph on $n$ vertices (and hence the laziest tree on $n$ vertices), the complete multipartite graph $K_{n-2,1,1}$ is the third laziest connected graph on $n$ vertices, and the double star $DS(n-3,1)$ is the second laziest tree on $n$ vertices. We also show that on the same number of vertices, more unbalanced double stars are lazier.

Abstract:The trace of the average mixing matrix of a quantum walk measures the "laziness" of the walk: the higher the trace, the more likely that the walker returns home in the long run. In this paper, we develop tools to study this graph invariant arising from Laplacian quantum walks. It is known that the complete graph $K_n$ is the laziest connected graph on $n$ vertices. Using our machinery, we show that the star $S_n$ is the second laziest connected graph on $n$ vertices (and hence the laziest tree on $n$ vertices), the complete multipartite graph $K_{n-2,1,1}$ is the third laziest connected graph on $n$ vertices, and the double star $DS(n-3,1)$ is the second laziest tree on $n$ vertices. We also show that on the same number of vertices, more unbalanced double stars are lazier.

Combinatorics (math.CO); Discrete Mathematics (cs.DM); Quantum Physics (quant-ph)

arXiv:2608.20739 [math.CO]

(or arXiv:2608.20739v1 [math.CO] for this version)

https://doi.org/10.48550/arXiv.2608.20739 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 233 words

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