Introduces forward-assisted purification via a new spatiotemporal framework that outperforms conventional static purification by up to 50x in copy efficiency and circumvents no-purification theorems for Bell states.
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C., Endo, S., Huggins, W
15 Pith papers cite this work, alongside 548 external citations. Polarity classification is still indexing.
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Protocol learns single-qubit Z-twirled MCM instrument parameters from three repeated measurements on mixed input, yielding ~100x better Pauli-observable prediction than confusion-matrix models on IBM processors.
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.
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.
Derives MSE bounds for PEC and CDR under finite shots, revealing CDR-dominant windows scaling as 1/(δ₁²p) and a projection theorem for affine CDR bias removal.
Proves finite-shot mean-squared-error laws for virtual distillation and symmetry verification that define certified operating windows and a selection trichotomy for their comparison.
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.
Mixing a single low-noise logical circuit with several physical folded circuits in ZNE cuts the runtime needed for fixed estimator variance by orders of magnitude when the logical error-suppression factor γ≲0.1.
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.
Experimental demonstration of multiplayer quantum volunteer's dilemma on NISQ hardware up to 9 players, with noise analysis and digital-twin comparison.
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.
Perspective review comparing variational and feedback quantum algorithms for simulating phase transitions in quantum many-body systems, highlighting barren plateaus and advocating physics-informed hybridization.
citing papers explorer
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Forward-Assisted Purification: A Spatiotemporal Framework Beyond Conventional Limits
Introduces forward-assisted purification via a new spatiotemporal framework that outperforms conventional static purification by up to 50x in copy efficiency and circumvents no-purification theorems for Bell states.
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Learning Mid-circuit Measurement Backaction from Three Repeated Measurements
Protocol learns single-qubit Z-twirled MCM instrument parameters from three repeated measurements on mixed input, yielding ~100x better Pauli-observable prediction than confusion-matrix models on IBM processors.
-
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.
-
Finite-shot operating windows for probabilistic error cancellation and Clifford data regression
Derives MSE bounds for PEC and CDR under finite shots, revealing CDR-dominant windows scaling as 1/(δ₁²p) and a projection theorem for affine CDR bias removal.
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Certified Finite-Shot Operating Windows for Virtual Distillation and Symmetry Verification
Proves finite-shot mean-squared-error laws for virtual distillation and symmetry verification that define certified operating windows and a selection trichotomy for their comparison.
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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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Hybrid physical/logical zero-noise extrapolation with limited logical executions
Mixing a single low-noise logical circuit with several physical folded circuits in ZNE cuts the runtime needed for fixed estimator variance by orders of magnitude when the logical error-suppression factor γ≲0.1.
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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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Experimental Implementation of the Quantum Volunteer's Dilemma on NISQ Hardware: Noise Analysis and Digital-Twin Validation
Experimental demonstration of multiplayer quantum volunteer's dilemma on NISQ hardware up to 9 players, with noise analysis and digital-twin comparison.
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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.
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Quantum Optimization Algorithms for Strongly Correlated Many-Body Systems
Perspective review comparing variational and feedback quantum algorithms for simulating phase transitions in quantum many-body systems, highlighting barren plateaus and advocating physics-informed hybridization.