SNT merges SV and PEC for subspace-tailored error mitigation in Trotterized FHM simulations, mapping out optimal combinations by hardware quality and shot budget while quantifying when noisy devices could surpass classical methods.
Qubit-efficient exponential suppression of errors
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Presents unbiased uncertainty quantification for post-processing error mitigation and applies it to optimize hyperparameters in Zero Noise Extrapolation and Clifford Data Regression under finite-shot noise.
Introduces metrics, criteria, and taxonomy for linear quantum error mitigation methods with an example strategy for stochastic and rotational errors on characterized hardware, emphasizing precise characterization.
citing papers explorer
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Near-Term Fermionic Simulation with Subspace Noise Tailored Quantum Error Mitigation
SNT merges SV and PEC for subspace-tailored error mitigation in Trotterized FHM simulations, mapping out optimal combinations by hardware quality and shot budget while quantifying when noisy devices could surpass classical methods.
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Robust design under uncertainty in quantum error mitigation
Presents unbiased uncertainty quantification for post-processing error mitigation and applies it to optimize hyperparameters in Zero Noise Extrapolation and Clifford Data Regression under finite-shot noise.
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Certification and Classification of Linear Quantum Error Mitigation Methods
Introduces metrics, criteria, and taxonomy for linear quantum error mitigation methods with an example strategy for stochastic and rotational errors on characterized hardware, emphasizing precise characterization.