Freiburg 2024 – scientific programme
Parts | Days | Selection | Search | Updates | Downloads | Help
Q: Fachverband Quantenoptik und Photonik
Q 53: Quantum Control
Q 53.4: Talk
Thursday, March 14, 2024, 15:15–15:30, HS 3118
Applying optimal control to atomic quantum simulators — •Matthias Hüls1, Robert Zeier1, Felix Motzoi1, and Tommaso Calarco1,2,3 — 1Forschungszentrum Jülich GmbH, Peter Grünberg Institute, Quantum Control (PGI-8), Jülich 52425, Germany — 2Institute for Theoretical Physics, University of Cologne, Köln 50937, Germany — 3Dipartimento di Fisica e Astronomia, Università di Bologna, 40127 Bologna, Italy
We study how optimal control can enhance the efficiency and robustness of atomic quantum simulators. We develop effective control pulses adapted to experimental platforms based on neutral atoms in optical lattices and Rydberg atoms. We compare optimization techniques using model-based numerical simulations and black-box feedback directly operating on the experimental setup. We employ the quantum-control software library QuOCS [1] which provides a unified framework for applying control algorithms such as d-CRAB and GRAPE. We highlight how technical and experimental challenges influence the choice of control techniques.
[1] M. Rossignolo, T. Reisser, A. Marshall, P. Rembold, A. Pagano, P. J. Vetter, R. S. Said, M. M. Mueller, F. Motzoi, T. Calarco, F. Jelezko, and S. Montangero, "Quocs: The quantum optimal control suite", Comuputer Physics Communications 291, 108782 (2023), https://doi.org/10.1016/j.cpc.2023.108782
Keywords: optimal control; quantum simulation; optimization