A Graph-Theoretic Framework for Free-Parafermion Solvability
Ryan L. Mann, Samuel J. Elman, David R. Wood, Adrian Chapman
TL;DR
The paper introduces a graph-theoretic framework for free parafermion solvability in qudit spin systems, tying exact solvability to the structure of the frustration graph $G$. A key result is that an oriented indifference graph $G$ yields an exact free-parafermion solution, with single-particle energies determined by the roots of the independence polynomial via $Z_G(-\varepsilon_k^{-d})=0$, and parafermionic modes $\psi_{p,k}$ reconstructing the Hamiltonian as a sum over parafermionic bundles. If $G$ is dipath orientable (via switching), the model becomes integrable with a family of commuting independent-set charges, and the authors provide a polynomial-time algorithm to test this condition. The framework is demonstrated on three qudit spin models, extending free-fermion methods to parafermions and offering practical tools for discovering new solvable systems. This work broadens the reach of exact solvability techniques to higher-dimensional and more complex quantum spin models, with potential implications for topological phases and quantum computation.
Abstract
We present a graph-theoretic characterisation of when a quantum spin model admits an exact solution via a mapping to free parafermions. Our characterisation is based on the concept of a frustration graph, which represents the commutation relations between Weyl operators of a Hamiltonian. We show that a quantum spin system has an exact free-parafermion solution if its frustration graph is an oriented indifference graph. Further, we show that if the frustration graph of a model can be dipath oriented via switching operations, then the model is integrable in the sense that there is a family of commuting independent set charges. Additionally, we establish an efficient algorithm for deciding whether this is possible. Our characterisation extends that given for free-fermion solvability. Finally, we apply our results to solve three qudit spin models.
