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From Appendix A, the ensemble-averaged accuracy is: AQ(α) :=E f[AQ(α|f)] = 1 2 1 + ¯γ(α) ,(D13) 28 where¯γ(α) = 1 2nq −1 P y′ γy,α

Expected protocol accuracy The analytical damping factors are summarized in Table IV

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Evidence of Quantum Machine Learning Advantage with Tens of Noisy Qubits

quant-ph · 2026-05-20 · conditional · novelty 6.0

Simulations of a known quantum learning task demonstrate clear performance separation between coherent noisy quantum processing and fixed-measurement classical strategies at 30-40 qubits, with data acquisition as the primary bottleneck.

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  • Evidence of Quantum Machine Learning Advantage with Tens of Noisy Qubits quant-ph · 2026-05-20 · conditional · none · ref 7

    Simulations of a known quantum learning task demonstrate clear performance separation between coherent noisy quantum processing and fixed-measurement classical strategies at 30-40 qubits, with data acquisition as the primary bottleneck.