Implicit ZNE parameter choices flip significance in ~12% of tested configurations and hardware drift changes apparent effect size up to 3.4×, so QEM benchmarks need stricter statistical reporting.
van den Berg, Z
5 Pith papers cite this work, alongside 52 external citations. Polarity classification is still indexing.
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A differentiable tensor-network framework learns CPTP noise channels from single-circuit measurement data on IBM hardware and generalizes the model to unrelated circuits.
QESEM is a characterization-based error mitigation technique that achieves unbiased estimates with substantially reduced runtime cost compared to probabilistic error cancellation while outperforming zero-noise extrapolation on utility-scale circuits.
Dissipative protocols on quantum hardware prepare approximate thermal states for kagome AFIM up to 79 sites and AFHM via simulation, with circuit depth independent of size and linear in inverse temperature.
Depolarizing noise doubles the number of non-analytic points in the Loschmidt echo at dynamical phase transition times in the transverse-field Ising model, inducing an inherent error that zero-noise extrapolation cannot mitigate.
citing papers explorer
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Claim against Measurement: Statistical Artefacts in Quantum Error Mitigation Benchmarks
Implicit ZNE parameter choices flip significance in ~12% of tested configurations and hardware drift changes apparent effect size up to 3.4×, so QEM benchmarks need stricter statistical reporting.
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Quantum hardware noise learning via differentiable Kraus representation on tensor networks
A differentiable tensor-network framework learns CPTP noise channels from single-circuit measurement data on IBM hardware and generalizes the model to unrelated circuits.
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Reliable high-accuracy error mitigation for utility-scale quantum circuits
QESEM is a characterization-based error mitigation technique that achieves unbiased estimates with substantially reduced runtime cost compared to probabilistic error cancellation while outperforming zero-noise extrapolation on utility-scale circuits.
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Preparing thermal states of frustrated quantum spin systems using 139 qubits
Dissipative protocols on quantum hardware prepare approximate thermal states for kagome AFIM up to 79 sites and AFHM via simulation, with circuit depth independent of size and linear in inverse temperature.
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Quantum simulation of dynamical phase transitions in noisy quantum devices
Depolarizing noise doubles the number of non-analytic points in the Loschmidt echo at dynamical phase transition times in the transverse-field Ising model, inducing an inherent error that zero-noise extrapolation cannot mitigate.