Optimal Cold Atom Thermometry Using Adaptive Bayesian Strategies
Jonas Glatthard, Jesús Rubio, Rahul Sawant, Thomas Hewitt, Giovanni Barontini, Luis Alfonso Correa
Abstract
Recently developed adaptive Bayesian methods allow for more precise and reliable quantum thermometry from less measurements, as demonstrated in release-recapture experiments with microkelvin-cooled potassium atoms trapped in an optical tweezer.
Topics & Concepts
Bayesian probabilityComputer scienceUltracold atomA priori and a posterioriAlgorithmBayesian inferenceRange (aeronautics)QuantumStatistical physicsArtificial intelligencePhysicsMaterials scienceComposite materialQuantum mechanicsPhilosophyEpistemologyCold Atom Physics and Bose-Einstein CondensatesHemodynamic Monitoring and TherapyQuantum Information and Cryptography