Algorithm for deciding mutation equivalence of quivers

Construct an algorithm that determines whether two quivers are mutation equivalent, meaning that one can be obtained from the other by a sequence of quiver mutations, beyond the special classes for which such algorithms are already known.

Background

Quiver mutation is a central combinatorial operation in the study of cluster algebras. Two quivers are mutation equivalent if a sequence of mutations transforms one into the other. The paper notes that decision algorithms are known only for certain special classes, while a general method for determining mutation equivalence remains an open problem. The dataset addresses classification among seven mutation-equivalence classes, including classes without known characterizations.

References

A fundamental open problem in this area is finding an algorithm that determines whether two quivers are mutation equivalent (one can traverse from one quiver to another by applying mutations).

Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics  (2503.06366 - Chau et al., 9 Mar 2025) in Section 3, subsection “Mutation Equivalence of Quivers (Open Problem)”