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.
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