74 citations · 230 across the 7 of their papers we have counts for
8 papers
Accelerated Newton-Raphson GRAPE methods for optimal control
David L. Goodwin, Mads Sloth Vinding
A Hessian based optimal control method is presented in Liouville space to mitigate previously undesirable polynomial scaling of computation time. This new method, an improvement to…
Concurrent J-Evolving Refocusing Pulses
Sebastian Ehni, Martin R. M. Koos, Tony Reinsperger +3
Conventional refocusing pulses are optimised for a single spin without considering any type of coupling. However, despite the fact that most couplings will result in undesired dist…
Optimal control gradient precision trade-offs: application to fast generation of DeepControl libraries for MRI
Mads Sloth Vinding, David L. Goodwin, Ilya Kuprov +1
We have recently demonstrated supervised deep learning methods for rapid generation of radiofrequency pulses in magnetic resonance imaging (https://doi.org/10.1002/mrm.27740, https…
Advanced Optimal Control Methods for Spin Systems
David L. Goodwin
Work within this thesis advances optimal control algorithms for application to magnetic resonance systems. Specifically, presenting a quadratically convergent version of the gradie…
Optimal control of mirror pulses for atom interferometry
Jack Saywell, Ilya Kuprov, David Goodwin +2
Atom matterwave interferometry requires mirror and beamsplitter pulses that are robust to inhomogeneities in field intensity, magnetic environment, atom velocity and Zeeman sub-sta…
Feedback control optimisation of ESR experiments
David L. Goodwin, William K. Myers, Christiane R. Timmel +1
Numerically optimised microwave pulses are used to increase excitation efficiency and modulation depth in electron spin resonance experiments performed on a spectrometer equipped w…
Modified Newton-Raphson GRAPE methods for optimal control of spin systems
D. L. Goodwin, Ilya Kuprov
Quadratic convergence throughout the active space is achieved for the gradient ascent pulse engineering (GRAPE) family of quantum optimal control algorithms. We demonstrate in this…
Auxiliary matrix formalism for interaction representation transformations, optimal control and spin relaxation theories
D. L. Goodwin, Ilya Kuprov
Auxiliary matrix exponential method is used to derive simple and numerically efficient general expressions for the following, historically rather cumbersome and hard to compute, th…