Quantum algorithms and lower bounds for eccentricity, radius, and diameter in undirected graphs
Quantum Physics
2025-02-28 v1 Data Structures and Algorithms
Abstract
The problems of computing eccentricity, radius, and diameter are fundamental to graph theory. These parameters are intrinsically defined based on the distance metric of the graph. In this work, we propose quantum algorithms for the diameter and radius of undirected, weighted graphs in the adjacency list model. The algorithms output diameter and radius with the corresponding paths in time. Additionally, for the diameter, we present a quantum algorithm that approximates the diameter within a ratio in time. We also establish quantum query lower bounds of for all the aforementioned problems through a reduction from the minima finding problem.
Cite
@article{arxiv.2502.20148,
title = {Quantum algorithms and lower bounds for eccentricity, radius, and diameter in undirected graphs},
author = {Adam Wesołowski and Jinge Bao},
journal= {arXiv preprint arXiv:2502.20148},
year = {2025}
}
Comments
15 pages, 2 figures