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


S O’Neil, FC Langbein, E Jonckheere, SG Shermer. Robustness of Energy Landscape Control to Dephasing. Research Directions: Quantum Technologies, 1, E13, 2023. [DOI:10.1017/qut.2023.6] [arXiv:2303.05649] [PDF]

Robustness of Energy Landscape Control to Dephasing