Iterative shaping of optical potentials for one-dimensional Bose-Einstein condensates
| Autor: | Andreas Deutschmann-Olek, Mohammadamin Tajik, Martino Calzavara, Jorg Schmiedmayer, Tommaso Calarco, Andreas Kugi |
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| Rok vydání: | 2022 |
| Předmět: |
Quantum Physics
Quantum Gases (cond-mat.quant-gas) FOS: Electrical engineering electronic engineering information engineering FOS: Physical sciences Systems and Control (eess.SY) Quantum Physics (quant-ph) Condensed Matter - Quantum Gases Electrical Engineering and Systems Science - Systems and Control Optics (physics.optics) Physics - Optics |
| Zdroj: | 2022 IEEE 61st Conference on Decision and Control (CDC). |
| DOI: | 10.1109/cdc51059.2022.9993271 |
| Popis: | The ability to manipulate clouds of ultra-cold atoms is crucial for modern experiments on quantum manybody systems and quantum thermodynamics as well as future metrological applications of Bose-Einstein condensate. While optical manipulation offers almost arbitrary flexibility, the precise control of the resulting dipole potentials and the mitigation of unwanted disturbances is quite involved and only heuristic algorithms with rather slow convergence rates are available up to now. This paper thus suggests the application of iterative learning control (ILC) methods to generate fine-tuned effective potentials in the presence of uncertainties and external disturbances. Therefore, the given problem is reformulated to obtain a one-dimensional tracking problem by using a quasicontinuous input mapping which can be treated by established ILC methods. Finally, the performance of the proposed concept is illustrated in a simulation scenario. To appear in Proceedings of the 61st IEEE Conference on Decision and Control (CDC) |
| Databáze: | OpenAIRE |
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