Spin system trajectory analysis under optimal control pulses
arXiv:1212.4454 · doi:10.1016/j.jmr.2013.02.012
Abstract
Several methods are proposed for the analysis, visualization and interpretation of high-dimensional spin system trajectories produced by quantum mechanical simulations. It is noted that expectation values of specific observables in large spin systems often feature fast, complicated and hard-to-interpret time dynamics and suggested that populations of carefully selected subspaces of states are much easier to analyze and interpret. As an illustration of the utility of the proposed methods, it is demonstrated that the apparent "noisy" appearance of many optimal control pulses in NMR and EPR spectroscopy is an illusion - the underlying spin dynamics is shown to be smooth, orderly and very tightly controlled.
Submitted for publication
References in corpus (1)
Cited by in corpus (5)
- Training Schrödinger's cat: quantum optimal control
- Modified Newton-Raphson GRAPE methods for optimal control of spin systems
- A quantum mechanical NMR simulation algorithm for protein-scale spin systems
- Feedback control optimisation of ESR experiments
- Bang-Bang Optimal Control of Large Spin Systems: Enhancement of C-C Singlet-Order at Natural Abundance