Newton Methods for the Optimal Control of Closed Quantum Spin Systems

Ciaramella, Gabriele; Borzì, Alfio; Dirr, Gunther; Wachsmuth, Daniel

Newton Methods for the Optimal Control of Closed Quantum Spin Systems

Dateien

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Datum

2015

Autor:innen

Ciaramella, Gabriele

Borzì, Alfio

Dirr, Gunther

Wachsmuth, Daniel

DOI (zitierfähiger Link)

https://doi.org/10.1137/140966988

Sammlungen

Mathematik und Statistik

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

SIAM Journal on Scientific Computing. 2015, 37(1), pp. A319-A346. ISSN 1064-8275. eISSN 1095-7197. Available under: doi: 10.1137/140966988

Zusammenfassung

An efficient and robust computational framework for solving closed quantum spin optimal-control and exact-controllability problems with control constraints is presented. Closed spin systems are of fundamental importance in modern quantum technologies such as nuclear magnetic resonance (NMR) spectroscopy, quantum imaging, and quantum computing. These systems are modeled by the Liouville--von Neumann master (LvNM) equation describing the time evolution of the density operator representing the state of the system. A unifying setting is provided to discuss optimal-control and exact-controllability results. Different controllability results for the LvNM model are given, and necessary optimality conditions for the LvNM control problems are analyzed. Existence and regularity of optimal controls are proved. The computational framework is based on matrix-free reduced-Hessian semismooth Krylov--Newton schemes for solving optimal-control problems of the LvNM equation in a real vector space rotating-frame representation. A continuation technique is designed to solve closed spin exact-controllability problems that is based on the solution of an appropriately formulated optimal-control problem. These computational strategies are put into a rigorous theoretical framework, proving convergence to the solutions sought. Results of numerical experiments validate the theoretical results and demonstrate the computational ability of the proposed framework to solve closed quantum spin control problems.

Fachgebiet (DDC)

510 Mathematik

Zitieren

ISO 690

CIARAMELLA, Gabriele, Alfio BORZÌ, Gunther DIRR, Daniel WACHSMUTH, 2015. Newton Methods for the Optimal Control of Closed Quantum Spin Systems. In: SIAM Journal on Scientific Computing. 2015, 37(1), pp. A319-A346. ISSN 1064-8275. eISSN 1095-7197. Available under: doi: 10.1137/140966988

BibTex

@article{Ciaramella2015-01Newto-41217,
  year={2015},
  doi={10.1137/140966988},
  title={Newton Methods for the Optimal Control of Closed Quantum Spin Systems},
  number={1},
  volume={37},
  issn={1064-8275},
  journal={SIAM Journal on Scientific Computing},
  pages={A319--A346},
  author={Ciaramella, Gabriele and Borzì, Alfio and Dirr, Gunther and Wachsmuth, Daniel}
}

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