Design of Feedback Control Laws for Information Transfer in Spintronics Networks


S. G. Schirmer, E. Jonckheere, F. C. Langbein. Design of Feedback Control Laws for Information Transfer in Spintronics Networks. Submitted 2016. [arXiv:1607.05294] [PDF]

Optimization results for the information transfer probability from spin 1 to 3 for an XX-ring of 7 spins over  spatial biases and time.

Optimization results for the information transfer probability from spin 1 to 3 for an XX-ring of 7 spins over spatial biases and time.

Information encoded in networks of stationary, interacting spin-1/2 particles is central for many applications ranging from quantum spintronics to quantum information processing. Without control, however, information transfer through such networks is generally inefficient. High-fidelity efficient transfer of excitations is achieved solely by shaping the energy landscape via the design of feedback control laws without recourse to dynamics control. Optimal transfer is enabled by conditions on the eigenstructure of the system and signature properties for the eigenvectors. Feedback controllers that achieve perfect state transfer – superoptimal controllers – are also the most robust.

Cite this page as 'Frank C Langbein, "Design of Feedback Control Laws for Information Transfer in Spintronics Networks," Ex Tenebris Scientia, 18th July 2016, https://langbein.org/design-feedback-control-laws-information-transfer-spintronics-networks/ [accessed 23rd June 2017]'.

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