Researchers developed a 16-qubit conditional IQP Born machine that accurately predicts magnetization transitions at unseen temperatures, outperforming diagonal models with 6x lower error while scaling to 2048 qubits without quantum hardware resources.

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Shows 2-Forrelation solvable by IQP circuits—restricted quantum models with minimal resources. One-to-two queries with efficient classical processing suffice, establishing quantum advantage beyond polynomial hierarchy.

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