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Utilizing the full pipeline from Appendix B, we compute exact points atnq ∈ {12,14} and|α| ∈ {n q/2, nq}across a selection of devices and noise channels affecting quantum data

Combining the noise sources Finally, we synthesize the individual noise sources to verify that the factorized approximationV Q(nq, α)≈ Vp(nq, α)Vm(|α|)Vr(nq)holds

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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 1

    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.