Institut für Angewandte Physik

Spin-polarized transport in Si-nanostructures

Many quantum computer concepts have been developed over the last decades. The calculating capacity of such computers could be much higher than that of today’s CMOS-based silicon-chip-computers. Basically, quantum computers work by using the superposition of wavefunctions of several so called qubits (quantum bits). Recently silicon has attracted attention as basic material for the realization of spin-based qubits, as its main isotope 28Si has no nuclear spin. Therefore a reduced scattering probability with the base material can be expected. Spin-polarized electrons can be obtained in the edge-states of two-dimensional electron gases at high magnetic fields, where the different spin orientations are individually accessible by introducing suitable constrictions, thus enabling the investigation of scattering between the spin-states by measuring electric current.

To probe the properties of such a system, Hall-bar devices consisting of a silicon MOS field effect transistor with embedded split-gates (forming a point-contact) below the top gate were fabricated and characterized at 1.5 Kelvin and in magnetic fields up to 8 Tesla. Transport through the constriction induced by the split-gates shows fluctuations, which can be interpreted as the effect of transmission resonances in a one-dimensional channel of a length comparable with the split-gate dimensions. Furthermore, a step in the differential conductance of the point-contact could be observed, which changes its position when the magnetic field is varied. This behaviour is interpreted as the observation of quantized conductance, as it is well-known from measurements on quantum point-contacts in heterostructures like GaAs/AlGaAs.

Wire-bonded Hall-bar structure on silicon

Privacy settings

Our website uses cookies. Some of them are mandatory, while others allow us to improve your user experience on our website. The settings you have made can be edited at any time.

or

Essential

in2code

Videos

in2code
YouTube
Google