Quantum

I am interested in modelling, simulating, learning and controlling quantum systems with applications in quantum technologies, often related to spin dynamics. A particular interesting aspect of this is to learn physical laws of a system to enable to control it. Applications are focused on quantum spin networks, spintronics, magnetic resonance imaging and spectroscopy, and chemical synthesis.






Zien Ma, Oktay Karakus, Sophie Shermer, Frank Langbein. Quantification of Metabolites in Magnetic Resonance Spectra with Deep Learning: Insights on Simulated and Real Data. Presentation at the One Day Meeting: Synthetic Data for Machine Learning, The British Machine Vision Association and Society for Pattern Recognition, Wednesday 8 November 2023. [PDF:abstract]

Quantification of Metabolites in Magnetic Resonance Spectra with Deep Learning ...







SP O’Neil, I Khalid, AA Rompokmos, CA Weidner, FC Langbein, S Schirmer, EA Jonckmheere. Analyzing and Unifying Robustness Measures for Excitation Transfer Control in Spin Networks. IEEE Control Systems Letters, 7:1783-1788, 2023. Also accepted for presentation at the IEEE Conf. Decision and Control (CDC) 2023. [DOI:10.1109/LCSYS.2023.3279797] [arXiv:2303.09518] [PDF]

Analyzing and Unifying Robustness Measures for Excitation Transfer Control in ...



FC Langbein, SP O’Neil, SG Shermer. Data – Energy Landscape Controllers for XX Spin Rings. Dataset, 2023. [https://qyber.black/spinnet/data-elc-xx-rings] FC Langbein, SP O’Neil, SG Shermer. Results – Energy Landscape Controllers for XX Spin Rings – Robustness. Dataset, 2023. [https://qyber.black/spinnet/results-elc-xx-rings-robustness] SP O’Neil, FC Langbein, SG Shermer. Robustness of Energy Landscape Controllers for […]

Energy Landscape Controllers for XX Spin Rings