Repeated Born-rule measurements on physics-constrained variational quantum circuits produce calibrated Bayesian-style prediction intervals without explicit Bayesian neural network training.
Uncertainty in deep learning
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Quantum Measurement Statistics as Bayesian Uncertainty Estimators for Physics-Constrained Learning
Repeated Born-rule measurements on physics-constrained variational quantum circuits produce calibrated Bayesian-style prediction intervals without explicit Bayesian neural network training.