Quantum optimal control, a toolbox for devising and implementing the shapes of external
fields that accomplish given tasks in the operation of a quantum device in the best way …

The ability to measure nuclear magnetic resonance (NMR) spectra with a large sample
volume is crucial for concentration-limited biological samples to attain adequate signal-to …

This monograph is a fundamental reference for scientists and engineers who encounter spin
processes in their work. The author, Ilya Kuprov, derives the concept of spin from basic …

Quadratic convergence throughout the active space is achieved for the gradient ascent
pulse engineering (GRAPE) family of quantum optimal control algorithms. We demonstrate …

Liquid state nuclear magnetic resonance is the only class of magnetic resonance
experiments for which the simulation problem is solved comprehensively for spin systems of …

Atom matterwave interferometry requires mirror and beam splitter pulses that are robust to
inhomogeneities in field intensity, magnetic environment, atom velocity, and Zeeman …

This paper presents an overview of the Fokker-Planck formalism for non-biological magnetic
resonance simulations, describes its existing applications and proposes some novel ones …

The exceptionally rich information content of nuclear magnetic resonance (NMR) spectra is
routinely used to identify and characterize molecules and molecular interactions in a wide …

Developing fast, robust, and accurate methods for optimal control of quantum systems
comprising interacting particles is one of the most active areas of current science. Although a …

We apply an extension of the Pontryagin maximum principle to derive time-optimal controls
of two-level quantum systems by means of piecewise constant pulses. Global optimal …