Whither quantum advantage? New classical lower bounds for Max-Cut on large-girth 3-regular graphs

Title:Whither quantum advantage? New classical lower bounds for Max-Cut on large-girth 3-regular graphs

Abstract:Every 3-regular graph of girth at least $g$ has a cut containing at least a fraction $M_g$ of its edges, and the best rigorous bounds at large girth are $0.912\le \lim_{g\to\infty}M_g \le 0.92386$. Lower bounds on $M_g$ follow from the performance of local algorithms: on a graph of girth $g \ge 2p+2$ a depth-$p$ local algorithm sees the same tree around every edge, so its expected cut fraction on that tree bounds $M_g$ from below. We apply this strategy to the Variational Iterative Rotation Algorithm (VIRAL), a classical local algorithm, and evaluate it on the depth-$p$ tree for every even depth up to $p=32$. The resulting bounds exceed those recently obtained from the Quantum Approximate Optimization Algorithm (QAOA) for every $p\ge 4$, by $0.005$ to $0.011$, and they extend the range of girths covered from $g=36$ to $g=66$. Notably, at $g=66$ we obtain $M_{66} \ge 0.9127$ at $99.99999\%$ confidence level, which raises the asymptotic lower bound from $0.912$ to $0.9127$.

Quantum Physics (quant-ph); Disordered Systems and Neural Networks (cond-mat.dis-nn); Combinatorics (math.CO)

arXiv:2610.17236 [quant-ph]

(or arXiv:2610.17236v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2610.17236 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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