Optimal Quantum Control with Poor Statistics
Frédéric Sauvage, Florian Mintert
Abstract
Optimal quantum control based on experimental data can be daunting if the data is affected by measurement noise; but a method based on binomial Bayesian inference learns accurate control even with highly noisy data.
Topics & Concepts
Bayesian probabilityComputer scienceBinomial (polynomial)Control (management)MathematicsAlgorithmBayesian inferenceInferenceOptimal controlStatistical inferenceQuantumBayesian statisticsStatisticsBinomial distributionNoise (video)Bayes' theoremApproximate inferenceVariance (accounting)Mathematical optimizationEstimation theoryStatistical modelArtificial intelligenceControl chartLaser-Matter Interactions and ApplicationsQuantum Information and CryptographyQuantum Mechanics and Applications