CBNE enables estimation of nonlinear quantum properties such as higher-order expectations from a single randomized measurement setting under sufficient system dimension or ancillary qubits.
C., Endo, S., Huggins, W
9 Pith papers cite this work. Polarity classification is still indexing.
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Zero-noise extrapolation has a finite-shot help-harm boundary below which it increases local mean-squared error due to variance penalties outweighing bias reduction.
Integrating amplitude estimation into QNN readout achieves O(1/N) estimation error with one shot instead of the usual O(1/sqrt(N)) Monte Carlo scaling.
A swap test-based protocol complements quantum error correction for indistinguishable noise in quantum metrology and outperforms virtual state purification in simulations for single- and multi-parameter estimation.
Mid-circuit stabilizer verification in six-qubit GSE-encoded Clifford Trotter steps reduces logical error rates by up to 54% on Barium ion hardware, with the gain vanishing if checks are deferred to circuit end.
Mixed physical-logical datasets for zero-noise extrapolation reduce estimator variance and physical runtime by orders of magnitude compared to pure logical or pure physical strategies when error correction suppresses noise by a factor of 0.1 or less.
Gaussian randomized rounding on two-qubit marginals of depth-D circuits with local depolarizing noise p yields samples whose expected Max-Cut cost matches the noisy quantum device up to an approximation ratio of 1-O[(1-p)^D].
Bayesian PSR with Gaussian processes and GradCoRe accelerates VQE SGD by reusing observations and minimizing per-step costs while reducing to standard PSR in special cases.
QBalance supplies a reproducible multi-objective workflow library for selecting among quantum compilation, noise-suppression, and error-mitigation strategies on Qiskit while documenting its own limitations.
citing papers explorer
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Quantum Nonlinear Properties from a Single Measurement Setting
CBNE enables estimation of nonlinear quantum properties such as higher-order expectations from a single randomized measurement setting under sufficient system dimension or ancillary qubits.
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The finite-shot help-harm boundary of zero-noise extrapolation
Zero-noise extrapolation has a finite-shot help-harm boundary below which it increases local mean-squared error due to variance penalties outweighing bias reduction.
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Single-shot quantum neural networks with amplitude estimation
Integrating amplitude estimation into QNN readout achieves O(1/N) estimation error with one shot instead of the usual O(1/sqrt(N)) Monte Carlo scaling.
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Complementing Quantum Error Correction in Quantum Metrology via Swap Test
A swap test-based protocol complements quantum error correction for indistinguishable noise in quantum metrology and outperforms virtual state purification in simulations for single- and multi-parameter estimation.
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Mid-Circuit Measurements for Clifford Noise Reduction in Hamiltonian Simulations
Mid-circuit stabilizer verification in six-qubit GSE-encoded Clifford Trotter steps reduces logical error rates by up to 54% on Barium ion hardware, with the gain vanishing if checks are deferred to circuit end.
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Runtime-efficient zero-noise extrapolation from mixed physical and logical data
Mixed physical-logical datasets for zero-noise extrapolation reduce estimator variance and physical runtime by orders of magnitude compared to pure logical or pure physical strategies when error correction suppresses noise by a factor of 0.1 or less.
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Sampling (noisy) quantum circuits through randomized rounding
Gaussian randomized rounding on two-qubit marginals of depth-D circuits with local depolarizing noise p yields samples whose expected Max-Cut cost matches the noisy quantum device up to an approximation ratio of 1-O[(1-p)^D].
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Bayesian Parameter Shift Rule in Variational Quantum Eigensolvers
Bayesian PSR with Gaussian processes and GradCoRe accelerates VQE SGD by reusing observations and minimizing per-step costs while reducing to standard PSR in special cases.
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QBalance: A Reproducible Multi-Objective Workflow for Quantum Compilation, Noise Suppression, and Error-Mitigation Strategy Selection
QBalance supplies a reproducible multi-objective workflow library for selecting among quantum compilation, noise-suppression, and error-mitigation strategies on Qiskit while documenting its own limitations.