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The task is a test that needs only modest classical computing and a reasonable number of measurements.","posed_since":"","precise":"Give a protocol using $\\operatorname{poly}(N)$ measurements and $\\operatorname{poly}(N)$ classical post-processing (for example Hamiltonian learning, time-reversal echoes, cross-platform comparison of randomized measurements) that bounds the error of local observables of the prepared state relative to the ideal Hamiltonian, for $N > 100$ in a regime where classical simulation is believed hard. Answer: protocol with a proof of soundness and an experimental demonstration.","problem_ref":null,"references":"","settled_by":"A protocol with a soundness proof applied on hardware with $N > 100$ in a classically hard regime.","status_note":"","title":"A scalable protocol to certify analog simulator 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