Massimo Equi

We present the first \emph{local} problems that show a super-constant separation between the classical randomized LOCAL model of distributed computing and its quantum counterpart. By prior work, such a separation was known only for an artificial graph problem with an inherently \emph{global} definition [Le Gall et al.\ 2019]. This submission consists of two works: \begin{itemize} \item The first work\footnote{{\bf Distributed Quantum Advantage for Local Problems} by Balliu, Brandt, Coiteux-Roy, d'Amore, Equi, Le Gall, Lievonen, Modanese, Olivetti, Renou, Suomela, Tendick and Veeren. \emph{Proceedings of the 57th ACM Symposium on Theory of Computing (STOC 2025)}, pp. 451-462, 2025.} presents a problem that we call \emph{iterated GHZ}, which is defined using only local constraints. We show that in graphs of maximum degree $\Delta$, any classical (deterministic or randomized) LOCAL model algorithm will require $\Omega(\Delta)$ rounds to solve the iterated GHZ problem, while the problem can be solved in $1$ round in quantum-LOCAL. \item The second work\footnote{{\bf Distributed Quantum Advantage in Locally Checkable Labeling Problems} by Balliu, Casagrande, d'Amore, Equi, Keller, Lievonen, Olivetti, Schmid and Suomela. arXiv:2504.05191, 2025.} shows the first known example of a local problem \emph{over a constant-degree graph} that admits asymptotic distributed quantum advantage in the LOCAL model of distributed computing: our problem can be solved in $O(\log n)$ communication rounds in the quantum-LOCAL model, but it requires $\Omega(\log n\cdot\log^{0.99}\log n)$ communication rounds in the classical randomized-LOCAL model. \end{itemize}