• DocumentCode
    52105
  • Title

    Minimum-Time Selective Control of Homonuclear Spins

  • Author

    Tian-Ming Zhang ; Re-Bing Wu ; Fei-Hao Zhang ; Tzyh-Jong Tarn ; Gui-Lu Long

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • Volume
    23
  • Issue
    5
  • fYear
    2015
  • fDate
    Sept. 2015
  • Firstpage
    2018
  • Lastpage
    2025
  • Abstract
    In nuclear magnetic resonance (NMR) quantum computation, the selective control of multiple homonuclear spins is usually slow because their resonance frequencies are very close to each other. To quickly implement the controls against decoherence effects, this brief presents an efficient numerical algorithm for designing minimum-time local transformations in two homonuclear spins. We obtain an accurate minimum-time estimation via geometric analysis on the two-timescale decomposition of the dynamics. Such estimation narrows down the range of search for the minimum-time control with a gradient-type optimization algorithm. Numerical simulations show that this method can remarkably reduce the search efforts, especially when the frequency difference is very small and the control field is high. Its effectiveness is further demonstrated by NMR experiments with two homunuclear carbon spins in a trichloroethylene (C2H1Cl3) sample system.
  • Keywords
    discrete systems; estimation theory; geometry; gradient methods; nuclear magnetic resonance; nuclear spin; optimisation; NMR quantum computation; geometric analysis; gradient-type optimization algorithm; homonuclear spin; minimum-time estimation; minimum-time selective control; nuclear magnetic resonance; resonance frequency; Algorithm design and analysis; Estimation; Frequency control; Nuclear magnetic resonance; Numerical simulation; Optimization; Radio frequency; Geodesic trajectory; gradient algorithm; quantum control; time optimal control; time-scale decomposition; time-scale decomposition.;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/TCST.2015.2390191
  • Filename
    7031403