Training Schrödinger’s cat: quantum optimal control
Training Schrödinger’s cat: quantum optimal control
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 quantumenhanced
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.
1-24
Glaser, Steffen J.
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Boscain, Ugo
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Calarco, Tommaso
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Koch, Christiane P.
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Köckenberger, Walter
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Kosloff, Ronnie
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Kuprov, Ilya
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Luy, Burkhard
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Schirmer, Sophie
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Schulte-Herbrüggen, Thomas
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Sugny, Dominique
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Wilhelm, Frank K.
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December 2015
Glaser, Steffen J.
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Boscain, Ugo
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Calarco, Tommaso
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Koch, Christiane P.
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Köckenberger, Walter
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Kosloff, Ronnie
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Kuprov, Ilya
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Luy, Burkhard
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Schirmer, Sophie
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Schulte-Herbrüggen, Thomas
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Sugny, Dominique
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Wilhelm, Frank K.
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Glaser, Steffen J., Boscain, Ugo, Calarco, Tommaso, Koch, Christiane P., Köckenberger, Walter, Kosloff, Ronnie, Kuprov, Ilya, Luy, Burkhard, Schirmer, Sophie, Schulte-Herbrüggen, Thomas, Sugny, Dominique and Wilhelm, Frank K.
(2015)
Training Schrödinger’s cat: quantum optimal control.
The European Physical Journal D, 69 (12), .
(doi:10.1140/epjd/e2015-60464-1).
Abstract
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 quantumenhanced
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.
Text
art%3A10.1140%2Fepjd%2Fe2015-60464-1.pdf
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More information
Accepted/In Press date: 22 September 2015
e-pub ahead of print date: 17 December 2015
Published date: December 2015
Organisations:
Computational Systems Chemistry, Magnetic Resonance
Identifiers
Local EPrints ID: 395549
URI: http://eprints.soton.ac.uk/id/eprint/395549
ISSN: 1434-6060
PURE UUID: 4d41571e-e0ff-4294-b0bd-535c080c88e9
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Date deposited: 01 Jun 2016 08:27
Last modified: 15 Mar 2024 03:43
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Contributors
Author:
Steffen J. Glaser
Author:
Ugo Boscain
Author:
Tommaso Calarco
Author:
Christiane P. Koch
Author:
Walter Köckenberger
Author:
Ronnie Kosloff
Author:
Burkhard Luy
Author:
Sophie Schirmer
Author:
Thomas Schulte-Herbrüggen
Author:
Dominique Sugny
Author:
Frank K. Wilhelm
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