F.C. Langbein. Learning to Control Quantum Systems Robustly. AI3SD Video: Learning to Control Quantum Systems Robustly, 10/11/2021. AI3SD Autumn Seminar Series 2021. 13 Oct – 15 Dec 2021. [PDF] [Video] [DOI:10.5258/SOTON/AI3SD0163]
E. Jonckheere, S. G. Schirmer, F. C. Langbein, C. A. Weidner. Noiseless robust performance with structured uncertainties and initial state error. Preprint 2022. [PDF]
SG Schirmer, FC Langbein, CA Weidner, EA Jonckheere. Robustness of Quantum Systems Subject to Decoherence: Structured Singular Value Analysis?. IEEE Conf Decision and Control, pp. 4158-4163, 2021. [DOI:10.1109/CDC45484.2021.9682796] [arXiv:2110.05372] [PDF]
I. Khalid, C. A. Weidner, E. A. Jonckheere, S. G. Schirmer, F. C. Langbein. Reinforcement Learning vs. Gradient-Based Optimisation for Robust Energy Landscape Control of Spin-1/2 Quantum Networks. IEEE Conf Decision and Control, pp. 4133-4139, 2021. [DOI:10.1109/CDC45484.2021.9683463] [arXiv:2109.07226] [PDF]
Some time ago I had a bit of an issue with e-mails being modified by replacing links with so-called safelinks, which are effectively trackers, make it impossible to check links and make sharing links considerably less secure, among some other issues. Meanwhile, these people, so concerned about my security, started […]
Sophie G. Schirmer, Frank C. Langbein, Carrie A. Weidner, Edmond Jonckheere. Robust Control Performance for Open Quantum Systems. IEEE Trans Automatic Control, 67(11):6012-6024, 2022. [DOI:10.1109/TAC.2022.3181249] [arXiv:2008.13691] [PDF]
FC Langbein, SG Shermer, S O’Neil, E Jonckheere. MatSpinNet. Code, https://qyber.black/spinnet/code-matspinnet, https://github.com/qyber-black/Code-MatSpinNet. [DOI:10.6084/m9.figshare.21856911]
E. Jonckheere, S. Schirmer, F. C. Langbein. Effect of Quantum Mechanical Global Phase Factor on Error vs Sensitivity Limitation in Quantum Routing. Accepted, 58th IEEE Conf. Decision and Control (CDC), 2019. [DOI:10.1109/CDC40024.2019.9029913] [PDF]
M. Chandler, C. Jenkins, S. M. Shermer, F. C. Langbein. MRSNet: Metabolite Quantification from Edited Magnetic Resonance Spectra With Convolutional Neural Network. Submitted, 2019. [arxiv:1909.03836] [MRSNet]
C. Jenkins, M. Chandler, F. C. Langbein, S. M. Shermer. Benchmarking GABA Quantification: A Ground Truth Data Set and Comparative Analysis of TARQUIN, LCModel, jMRUI and Gannet. Submitted, 2021. [arxiv:1909.02163] [PDF]