ORCA
Online Research @ Cardiff

# Structured singular value analysis for spintronics network information transfer control

 Jonckheere, Edmond A., Schirmer, Sophie G. and Langbein, Frank C. 2017. Structured singular value analysis for spintronics network information transfer control. IEEE Transactions on Automatic Control 62 (12) , pp. 6568-6574. 10.1109/TAC.2017.2714623

 Preview
PDF - Published Version

## Abstract

Control laws for selective transfer of information encoded in excitations of a quantum network, based on shaping the energy landscape using time-invariant, spatially-varying bias fields, can be successfully designed using numerical optimization. Such control laws, already departing from classicality by replacing closed-loop asymptotic stability with alternative notions of localization, have the intriguing property that for all practical purposes they achieve the upper bound on the fidelity, yet the (logarithmic) sensitivity of the fidelity to such structured perturbation as spin coupling errors and bias field leakages is nearly vanishing. Here, these differential sensitivity results are extended to large structured variations using $\mu$-design tools to reveal a crossover region in the space of controllers where objectives usually thought to be conflicting are actually concordant.

Item Type: Article Publication Published Computer Science & Informatics Q Science > QA MathematicsQ Science > QC Physics Quantum mechanics, spin polarized transport, spintronics, robust control, sensitivity analysis, uncertain systems This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/ Institute of Electrical and Electronics Engineers (IEEE) 0018-9286 ARO MURI W911NF-11-1-0268, Ser Cymru National Research Network for Advanced Engineering and Materials (grant NRN 082) 12 June 2017 30 May 2017 17 Apr 2020 09:39 http://orca.cf.ac.uk/id/eprint/101340

## Citation Data

Cited 5 times in Scopus. View in Scopus. Powered By Scopus® Data

### Actions (repository staff only)

 Edit Item