Deterministically Implanted Arrays of Donor Spin Qubits

ORAL

Abstract

Donor atoms in isotopically enriched silicon (28Si) are promising for encoding quantum information due to their long spin coherence times and established coupling methods between donor nuclei. Antimony (Sb) donors further offer high-spin nuclei access to a higher dimensional hilbert space. Sb donors are introduced via ion implantation, but this process results in a random distribution of timed donor implants with inherent uncertainty in final donor location. For scaling qubit systems to multiple arrays of implanted donor atoms, high precision in donor placement through deterministic ion implantation is essential. To detect single implantation events, on-chip reverse-biased detector electrodes and p-i-n diodes are used to detect charge carriers generated by single counted implantation events. Previously, implantation of single low-energy (14 keV) donor ions with detection fidelity of 99.87% has been reported.

Here we propose a plan for integrating on-chip detectors with donor qubit devices, comparing in-plane (lateral) and sandwich (vertical) detector designs for optimal charge collection and detection fidelity. An AFM nanostencil used for donor implantation may misalign by ~100 nm with respect to EBL defined alignment markers; however implanting high-fluence Sb atoms in corner pixels aids in locating donor arrays during device fabrication. Finally, spin chains are fabricated to characterize the uniformity of the ordered implanted donor arrays through excitation spectra analysis.

*This research is funded by the Australian Research Council Centre of Excellence for Quantum Computation and Communication Technology, the US Army Research Office, and the UNSW node of the Australian National Fabrication Facility (ANFF).

Publication: [1] J. T. Muhonen et al. Nature Nanotech 9, 986–991 (2014)
[2] K. M. Itoh et al. MRS Communications 4, 143-157 (2014)
[3] J. T. Mądzik et al. Nature Communications 12, 181 (2021)
[4] J. T. Mądzik et al. Nature 601, 348–353 (2022)
[5] I. Fernandez de Fuentes et al. Nature Communications 15, 1380 (2024)
[6] A. M. Jakob et al. Advanced Materials 34 (3), 2270022 (2022)

Presenters

  • Nikhil N Maka

    • University of New South Wales

Authors

  • Nikhil N Maka

    • University of New South Wales
  • Danielle Holmes

    • University of New South Wales
    • University of Melbourne
  • Alexander M Jakob

    • The University of Melbourne
    • University of Melbourne
  • Shao Qi Lim

    • The University of Melbourne
    • University of Melbourne
  • David Norman Jamieson

    • University of Melbourne
  • Andrea Morello

    • University of New South Wales