SAMOP 2023 – scientific programme
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QI: Fachverband Quanteninformation
QI 34: Concepts and Methods III
QI 34.3: Talk
Friday, March 10, 2023, 11:30–11:45, B302
Compensating for non-linear distortions in controlled quantum systems — •Juhi Singh1,2, Robert Zeier1, Tommaso Calarco1,2, and Felix Motzoi1 — 1Forschungszentrum Jülich GmbH, Peter Grünberg Institute, Quantum Control (PGI-8), 52425 Jülich, Germany — 2Institute for Theoretical Physics, University of Cologne, 50937 Köln, Germany
Predictive design and optimization methods for controlled quantum systems depend on the accuracy of the system model. Any distortion of the input fields in an experimental platform alters the model accuracy and eventually disturbs the predicted dynamics. These distortions can be non-linear with a strong frequency dependence so that the field interacting with the microscopic quantum system has limited resemblance to the input signal. We present an effective method for estimating these distortions which is suitable for non-linear transfer functions of arbitrary lengths and magnitudes provided the available training data has enough spectral components. Using a quadratic estimation, we have successfully tested our approach for a numerical example of a single Rydberg atom system. The transfer function estimated from the presented method is incorporated into an open-loop control optimization algorithm allowing for high-fidelity operations in quantum experiments.