A Quantum Observable for the Graph Isomorphism Problem
Mark Ettinger (LANL), Peter Hoyer (BRICS)

TL;DR
This paper introduces a quantum observable designed to determine graph isomorphism with certainty for isomorphic graphs and high probability for non-isomorphic graphs, based on a specific Hilbert space construction.
Contribution
It proposes a novel quantum observable in a complex Hilbert space that distinguishes isomorphic from non-isomorphic graphs, advancing quantum approaches to graph isomorphism.
Findings
Returns 'yes' with certainty for isomorphic graphs
Returns 'no' with high probability for non-isomorphic graphs
The implementability efficiency remains uncertain
Abstract
Suppose we are given two graphs on vertices. We define an observable in the Hilbert space which returns the answer ``yes'' with certainty if the graphs are isomorphic and ``no'' with probability at least if the graphs are not isomorphic. We do not know if this observable is efficiently implementable.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Complexity and Algorithms in Graphs · Computability, Logic, AI Algorithms
