2026-08-20T06:04:03Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/1290452025-12-16T01:04:45Zcom_20.500.14352_14col_20.500.14352_15
Giordano, Sara
Martín-Delgado Alcántara, Miguel Ángel
2025-12-15T18:52:23Z
2025-12-15T18:52:23Z
2026-01
S. Giordano, M.A. Martin-Delgado, Quantum algorithm for testing graph completeness, Annals of Physics 484 (2026) 170305. https://doi.org/10.1016/j.aop.2025.170305.
0003-4916
10.1016/j.aop.2025.170305
https://hdl.handle.net/20.500.14352/129045
1096-035X
https://doi.org/10.1016/j.aop.2025.170305
https://www.sciencedirect.com/science/article/pii/S0003491625003872?via%3Dihub
Testing graph completeness is a critical problem in computer science and network theory. Leveraging quantum computation, we present an efficient algorithm using the Szegedy quantum walk and quantum phase estimation (QPE). Our algorithm, which takes the number of nodes and the adjacency matrix as input, constructs a quantum walk operator and applies QPE to estimate its eigenvalues. These eigenvalues reveal the graph’s structural properties, enabling
us to determine its completeness. We establish a relationship between the number of nodes in a complete graph and the number of marked nodes, optimizing the success probability and running time. The time complexity of our algorithm is (log2 𝑛), where 𝑛 is the number of nodes of the graph. offering a clear quantum advantage over classical methods. This approach is useful in network structure analysis, evaluating classical routing algorithms, and assessing
systems based on pairwise comparisons.
eng
http://creativecommons.org/licenses/by-nc/4.0/
open access
Attribution-NonCommercial 4.0 International
Quantum algorithm for testing graph completeness
journal article