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Article Dans Une Revue New Journal of Physics Année : 2020

Preparation of ordered states in ultra-cold gases using Bayesian optimization

Rick Mukherjee
  • Fonction : Auteur
Harry Xie
  • Fonction : Auteur
Robert Loew
  • Fonction : Auteur
Florian Mintert
  • Fonction : Auteur

Résumé

Ultra-cold atomic gases are unique in terms of the degree of controllability, both for internal and external degrees of freedom. This makes it possible to use them for the study of complex quantum many-body phenomena. However in many scenarios, the prerequisite condition of faithfully preparing a desired quantum state despite decoherence and system imperfections is not always adequately met. To pave the way to a specific target state, we implement quantum optimal control based on Bayesian optimization. The probabilistic modeling and broad exploration aspects of Bayesian optimization are particularly suitable for quantum experiments where data acquisition can be expensive. Using numerical simulations for the superfluid to Mott-insulator transition for bosons in a lattice as well as for the formation of Rydberg crystals as explicit examples, we demonstrate that Bayesian optimization is capable of finding better control solutions with regards to finite and noisy data compared to existing methods of optimal control.

Domaines

Matériaux

Dates et versions

hal-03612957 , version 1 (18-03-2022)

Identifiants

Citer

Rick Mukherjee, Frederic Sauvage, Harry Xie, Robert Loew, Florian Mintert. Preparation of ordered states in ultra-cold gases using Bayesian optimization. New Journal of Physics, 2020, 22 (7), ⟨10.1088/1367-2630/ab8677⟩. ⟨hal-03612957⟩
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