Investigating graph isomorphism in cospectral graphs via multiparticle quantum walk in fermionic basis and entanglement entropy
M. A. Jafarizadeh, F. Eghbalifam, S. Nami

TL;DR
This paper demonstrates that multiparticle quantum walks and entanglement entropy can effectively distinguish non-isomorphic cospectral graphs, advancing methods for graph isomorphism detection using quantum and entanglement-based techniques.
Contribution
It introduces a novel approach combining multiparticle quantum walks in fermionic basis and entanglement entropy to identify non-isomorphic cospectral graphs.
Findings
Quantum walk distinguishes non-isomorphic cospectral graphs.
Entanglement entropy differentiates graph pairs.
Analytical methods applied to specific graph families.
Abstract
We investigate the graph isomorphism (GI) in some cospectral networks. Two graph are isomorphic when they are related to each other by a relabeling of the graph vertices. We want to investigate the GI in two scalable (n + 2)-regular graphs G4(n; n + 2) and G5(n; n + 2), analytically by using the multiparticle quantum walk. These two graphs are a pair of non-isomorphic connected cospectral regular graphs for any positive integer n. In order to investigation GI in these two graphs, we rewrite the adjacency matrices of graphs in the antisymmetric fermionic basis and show that they are different for thesepairs of graphs. So the multiparticle quantum walk is able to distinguish pairs of non- isomorph graphs. Also we construct two new graphs T4(n; n + 2) and T5(n; n + 2) and repeat the same process of G4 and G5 to study the GI problem by using multiparticle quantum walk. Then we study GI by…
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Taxonomy
TopicsQuantum Information and Cryptography · Neural Networks and Reservoir Computing · Quantum Computing Algorithms and Architecture
