Return probability and self-similarity of the Riesz walk
Ryota Hanaoka, Norio Konno

TL;DR
This paper investigates the return probability and self-similarity properties of the Riesz walk, a quantum walk driven by a singular continuous measure, expanding understanding of quantum walks with complex measures.
Contribution
It analyzes the return probability of the Riesz walk and proposes conjectures on its self-similar structure, a novel focus in quantum walk research with singular measures.
Findings
Analysis of return probability behavior
Proposed conjectures on self-similarity
Insights into quantum walks with singular measures
Abstract
The quantum walk is a counterpart of the random walk. The 2-state quantum walk in one dimension can be determined by a measure on the unit circle in the complex plane. As for the singular continuous measure, results on the corresponding quantum walk are limited. In this situation, we focus on a quantum walk, called the Riesz walk, given by the Riesz measure which is one of the famous singular continuous measures. The present paper is devoted to the return probability of the Riesz walk. Furthermore, we present some conjectures on the self-similarity of the walk.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Stochastic Gradient Optimization Techniques · Machine Learning and Algorithms
