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Q: Fachverband Quantenoptik und Photonik

Q 53: Matter Wave Interferometry II

Q 53.1: Vortrag

Donnerstag, 13. März 2025, 11:00–11:15, HS I

Bayesian optimization for state engineering of quantum gases — •Gabriel Müller, Victor Jose Martinez-Lahuerta, and Naceur Gaaloul — Leibniz University Hannover, Institute for Quantum Optics, Hannover, Germany

State engineering of quantum objects is a central requirement for precision sensing. When the quantum dynamics can be described by analytical solutions or simple approximation models, optimal state preparation protocols have been theoretically proposed and experimentally realized. For more complex systems such as interacting quantum gases, simplifying assumptions do not apply anymore and the optimization techniques become computationally impractical. Here [1], we propose Bayesian optimization based on multi-output Gaussian processes to learn the physical properties of a Bose Einstein condensate within few simulations only. We evaluate its performance on an optimization study case of diabatically transporting the quantum gas while keeping it in its ground state. Within a few hundred executions, we reach a competitive performance to other protocols. This paves the way for efficient state engineering of complex quantum systems including mixtures of interacting gases or cold molecules.

[1] Gabriel Müller et al 2025 Quantum Sci. Technol. 10 015033

Keywords: quantum gases; quantum engineering; quantum sensing; quantum control; Bayesian optimization