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
Link To Document :
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