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Exploring the Relaxation Landscape of a 2D Quantum Magnet on a 256-Qubit Processor

Authors: Tiago Mendes-Santos, Joseph Vovrosh, Sergi Juli\`a-Farr\'e, Dorian Claveau, Guillaume Villaret, Lucas B\'eguin, Lucas Leclerc, Laurin Brunner, Wladislaw Krinitsin, Matthias Hecker, Fergus Hayes, Boris Albrecht, Lilian Bourachot, Cl\'emence Briosne-Frejaville, Antoine Cornillot, Julius de Hond, Djibril Diallo, Cl\'ement Dupays, Robin Dupont, Thomas Eritzpokhoff, Lo\"ic Henriet, Lucas Lassabli\`ere, Arvid Lindberg, Yohann Machu, Hadriel Mamann, Thomas Pansiot, Julien Ripoll, Bruno Ximenez, Henrique Silv\'erio, Joseph Tindall, Markus Schmitt, Markus Heyl, Adrien Signoles, Constantin Dalyac, Antoine Browaeys and Alexandre DauphinPublished: 2026-08-07Paper ID: 2608.07178Category: quant-phLicense: CC BY 4.0

Abstract

How quantum matter relaxes far from equilibrium is a central open problem in many-body physics, and one for which analog quantum simulators are well positioned to move from confirming theory to discovering new physics. Here, we use a two-dimensional Rydberg atom array of 256 qubits to map the relaxation landscape of the two-dimensional transverse-field Ising model across its phase diagram. Beyond the expected rapid thermalization, we identify two further regimes. The first is a prethermal regime whose dynamics are governed by an effective XY model. The second, and most unexpected, is a crossover regime characterized by a slowdown in relaxation. This slowdown occurs precisely where state-of-the-art classical tensor-network methods lose control at late times, whereas the quantum simulation remains consistent across system sizes. These results establish Rydberg atom arrays as a platform for scientific discovery in nonequilibrium quantum many-body dynamics.

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