Information theoretical limits for quantum optimal control solutions: error scaling of noisy control channels.

Matthias M Müller, Stefano Gherardini, Tommaso Calarco, Simone Montangero, Filippo Caruso
Author Information
  1. Matthias M Müller: Peter Grünberg Institute - Quantum Control (PGI-8), Forschungszentrum Jülich GmbH, 52425, Jülich, Germany. ma.mueller@fz-juelich.de.
  2. Stefano Gherardini: CNR-INO, Area Science Park, 34149, Basovizza, Trieste, Italy.
  3. Tommaso Calarco: Peter Grünberg Institute - Quantum Control (PGI-8), Forschungszentrum Jülich GmbH, 52425, Jülich, Germany.
  4. Simone Montangero: Department of Physics and Astronomy "G. Galilei", University of Padua, and with INFN Sezione di Padova, 35131, Padua, Italy.
  5. Filippo Caruso: Department of Physics and Astronomy and LENS, University of Florence, 50019, Sesto Fiorentino, Italy.

Abstract

Accurate manipulations of an open quantum system require a deep knowledge of its controllability properties and the information content of the implemented control fields. By using tools of information and quantum optimal control theory, we provide analytical bounds (information-time bounds) to characterize our capability to control the system when subject to arbitrary sources of noise. Moreover, since the presence of an external noise field induces open quantum system dynamics, we also show that the results provided by the information-time bounds are in very good agreement with the Kofman-Kurizki universal formula describing decoherence processes. Finally, we numerically test the scaling of the control accuracy as a function of the noise parameters, by means of the dressed chopped random basis (dCRAB) algorithm for quantum optimal control.

References

  1. Phys Rev Lett. 2014 Dec 19;113(25):250501 [PMID: 25554866]
  2. Nat Commun. 2017 Dec 19;8(1):2189 [PMID: 29259153]
  3. J Magn Reson. 2005 Feb;172(2):296-305 [PMID: 15649756]
  4. Phys Rev Lett. 2014 Jul 4;113(1):010502 [PMID: 25032913]
  5. J Phys Condens Matter. 2016 Jun 2;28(21):213001 [PMID: 27143501]
  6. Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Jul;90(1):012119 [PMID: 25122263]
  7. Phys Rev Lett. 2001 Dec 31;87(27 Pt 1):270405 [PMID: 11800864]
  8. Phys Rev Lett. 2011 May 13;106(19):190501 [PMID: 21668132]
  9. Sci Rep. 2018 Sep 24;8(1):14278 [PMID: 30250214]
  10. Sci Rep. 2016 Dec 12;6:38650 [PMID: 27941889]
  11. Phys Rev Lett. 2013 Jul 5;111(1):010402 [PMID: 23862985]
  12. Rep Prog Phys. 2022 Jun 13;85(7): [PMID: 35605567]
  13. Phys Rev Lett. 2009 Dec 11;103(24):240501 [PMID: 20366188]
  14. Phys Rev Lett. 2011 Dec 2;107(23):230501 [PMID: 22182074]
  15. Nat Commun. 2014 May 30;5:4009 [PMID: 24874019]
  16. Phys Rev Lett. 2003 Jan 24;90(3):037901 [PMID: 12570525]
  17. Phys Rev Lett. 2018 Apr 13;120(15):150401 [PMID: 29756895]
  18. Sci Rep. 2014 Jul 21;4:5720 [PMID: 25043763]
  19. J Phys Condens Matter. 2017 Aug 23;29(33):333001 [PMID: 28569239]
  20. Phys Rev Lett. 2011 Oct 21;107(17):170504 [PMID: 22107495]
  21. Proc Natl Acad Sci U S A. 2018 Nov 27;115(48):E11231-E11237 [PMID: 30413625]
  22. Science. 2014 Jul 25;345(6195):420-4 [PMID: 25061205]
  23. Science. 2019 Aug 9;365(6453):570-574 [PMID: 31395778]
  24. Phys Rev Lett. 2018 Jun 29;120(26):263201 [PMID: 30004774]
  25. J Chem Phys. 2012 Oct 7;137(13):134113 [PMID: 23039591]
  26. Phys Rev Lett. 2011 Sep 23;107(13):130404 [PMID: 22026832]
  27. Science. 2019 Oct 4;366(6461):93-97 [PMID: 31515245]
  28. Phys Rev Lett. 2016 Apr 15;116(15):150503 [PMID: 27127947]
  29. Nature. 2000 Jun 1;405(6786):546-50 [PMID: 10850708]
  30. Sci Rep. 2015 Jul 22;5:12430 [PMID: 26199059]
  31. Phys Rev Lett. 2013 Aug 30;111(9):090802 [PMID: 24033017]
  32. Phys Rev Lett. 2008 Jul 4;101(1):010403 [PMID: 18764093]

Grants

  1. 817482/European Commission
  2. 828946/European Commission
  3. 390534769/Deutsche Forschungsgemeinschaft
  4. 13N16210/Bundesministerium für Bildung und Forschung
  5. Q-CODYCES/Università degli Studi di Firenze
  6. TRIESTE/Blanceflor Foundation
  7. PRIN 2017/Ministero dell'Istruzione, dell'Università e della Ricerca
  8. QUASAR/Fondazione Cassa di Risparmio di Padova e Rovigo

MeSH Term

Knowledge
Algorithms
Quantum Theory

Word Cloud

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