Training Schr\"odinger's cat: quantum optimal control
Abstract
It is control that turns scientific knowledge into useful technology: in physics and engineering it provides a systematic way for driving a system from a given initial state into a desired target state with minimized expenditure of energy and resources -- as famously applied in the Apollo programme. As one of the cornerstones for enabling quantum technologies, optimal quantum control keeps evolving and expanding into areas as diverse as quantum-enhanced sensing, manipulation of single spins, photons, or atoms, optical spectroscopy, photochemistry, magnetic resonance (spectroscopy as well as medical imaging), quantum information processing and quantum simulation. --- Here state-of-the-art quantum control techniques are reviewed and put into perspective by a consortium uniting expertise in optimal control theory and applications to spectroscopy, imaging, quantum dynamics of closed and open systems. We address key challenges and sketch a roadmap to future developments.
Keywords
Cite
@article{arxiv.1508.00442,
title = {Training Schr\"odinger's cat: quantum optimal control},
author = {Stefffen J. Glaser and Ugo Boscain and Tommaso Calarco and Christiane P. Koch and Walter Köckenberger and Ronnie Kosloff and Ilya Kuprov and Burkard Luy and Sophie Schirmer and Thomas Schulte-Herbrüggen and D. Sugny and Frank K. Wilhelm},
journal= {arXiv preprint arXiv:1508.00442},
year = {2016}
}
Comments
31 pages; this is the starting point for a living document - we welcome feedback and discussion