Flying electron spin control gates
Paul L. J. Helgers,
James A. H. Stotz (),
Haruki Sanada,
Yoji Kunihashi,
Klaus Biermann and
Paulo V. Santos ()
Additional contact information
Paul L. J. Helgers: Paul-Drude-Institut für Festkörperelektronik, Leibniz-Institut im Forschungsverbund Berlin e.V.
James A. H. Stotz: Paul-Drude-Institut für Festkörperelektronik, Leibniz-Institut im Forschungsverbund Berlin e.V.
Haruki Sanada: NTT Basic Research Laboratories, NTT Corporation
Yoji Kunihashi: NTT Basic Research Laboratories, NTT Corporation
Klaus Biermann: Paul-Drude-Institut für Festkörperelektronik, Leibniz-Institut im Forschungsverbund Berlin e.V.
Paulo V. Santos: Paul-Drude-Institut für Festkörperelektronik, Leibniz-Institut im Forschungsverbund Berlin e.V.
Nature Communications, 2022, vol. 13, issue 1, 1-9
Abstract:
Abstract The control of "flying” (or moving) spin qubits is an important functionality for the manipulation and exchange of quantum information between remote locations on a chip. Typically, gates based on electric or magnetic fields provide the necessary perturbation for their control either globally or at well-defined locations. Here, we demonstrate the dynamic control of moving electron spins via contactless gates that move together with the spins. The concept is realized using electron spins trapped and transported by moving potential dots defined by a surface acoustic wave (SAW). The SAW strain at the electron trapping site, which is set by the SAW amplitude, acts as a contactless, tunable gate that controls the precession frequency of the flying spins via the spin-orbit interaction. We show that the degree of precession control in moving dots exceeds previously reported results for unconstrained transport by an order of magnitude and is well accounted for by a theoretical model for the strain contribution to the spin-orbit interaction. This flying spin gate permits the realization of an acoustically driven optical polarization modulator based on electron spin transport, a key element for on-chip spin information processing with a photonic interface.
Date: 2022
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DOI: 10.1038/s41467-022-32807-x
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