Training Schrödinger’s cat: quantum optimal control

By Steffen J. Glaser, Ugo V. Boscain, Tommaso Calarco, Christiane P. Koch, W. Köckenberger, Ronnie Kosloff, I. Kuprov, B. Luy, S. Schirmer, Thomas Schulte-Herbrüggen and 2 more. European Physical Journal D : Atomic, Molecular and Optical Physics, 2015

700 citations recorded by the source corpus.

It is control that turns scientific knowledge into useful technology: in physics and engineering it provides a systematic way for driving a dynamical system from a given initial state into a desired target state with minimized expenditure of energy and resources. 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. In this communication, state-of-the-art quantum control techniques are reviewed and put into perspective by a consortium of experts in optimal control theory and applications to spectroscopy, imaging, as well as quantum dynamics of closed and open systems. We address key challenges and sketch a roadmap for future developments.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/f515390af0eb17d3a27510f864999623fbf6b91b

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Citations in the corpus

OpenQASM 3: A Broader and Deeper Quantum Assembly Language (2021, methodology): “These guide the quantum system to implement the desired quantum operation [40].”
Open Quantum Assembly Language (2017, background): “These hardware elements must be orchestrated to synchronously emit the designed control ﬁelds to guide the quantum system to implement the desired quantum operation [51].”
Shortcuts to adiabaticity: Concepts, methods, and applications (2019, methodology): “The challenges and prospects of Optimal Control Theory for quantum systems which overlap with those of STA are discussed in the review articles Glaser et al. (2015) and Koch (2016).”
Quantum control of molecular rotation (2018, background): “Also, note that a parallel can be made with spin dynamics in which optimal control fields are known to be experimentally very efficient (Kobzar et al., 2005; Lapert et al., 2010; Skinner et al., 2012; Glaser et al., 2015).”
Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe (2022, neutral): “into technology [249]: If the superposition principle is the core feature of quantum me-”