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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New criteria reveal VQE needs fault-tolerant quantum computers due to decoherence and QPE has exponentially suppressed success probability from orthogonality catastrophe in classical input states.
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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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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Feasibility of performing quantum chemistry calculations on quantum computers
New criteria reveal VQE needs fault-tolerant quantum computers due to decoherence and QPE has exponentially suppressed success probability from orthogonality catastrophe in classical input states.
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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.