Quantum Hitting Time according to a given distribution
P. Boito, G. M. Del Corso
TL;DR
This paper analyzes quantum hitting time for discrete-time Szegedy walks, establishing a quadratic speedup for time-reversible Markov chains and extending the notion to general start distributions beyond the stationary one. It presents a self-contained proof that $QH_{\pi,M} = O(\sqrt{H_{\pi,M}})$ under reversibility and develops a generalized framework for arbitrary starting distributions with corresponding bounds, supported by extensive numerical experiments. The results illuminate how quantum diffusion can outperform classical hitting times in network search tasks and offer insights into distribution-sensitive quantum diffusion as a tool for graph analysis and centrality. Overall, the work broadens the applicability of quantum hitting time and provides practical guidance for leveraging quantum walks in search and network tasks.
Abstract
In this work we focus on the notion of quantum hitting time for discrete-time Szegedy quantum walks, compared to its classical counterpart. Under suitable hypotheses, quantum hitting time is known to be of the order of the square root of classical hitting time: this quadratic speedup is a remarkable example of the computational advantages associated with quantum approaches. Our purpose here is twofold. On one hand, we provide a detailed proof of quadratic speedup for time-reversible walks within the Szegedy framework, in a language that should be familiar to the linear algebra community. Moreover, we explore the use of a general distribution in place of the stationary distribution in the definition of quantum hitting time, through theoretical considerations and numerical experiments.
