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Deterministic Shallow Dopant Implantation in Silicon with Detection Confidence Upper-Bound to 99.85% by Ion–Solid Interactions

journal contribution
posted on 2024-11-02, 19:45 authored by Alexander Jakob, Brett Johnson, Edwin Mayes, Jeffrey McCallum
Silicon chips containing arrays of single dopant atoms can be the material of choice for classical and quantum devices that exploit single donor spins. For example, group-V donors implanted in isotopically purified 28Si crystals are attractive for large-scale quantum computers. Useful attributes include long nuclear and electron spin lifetimes of 31P, hyperfine clock transitions in 209Bi or electrically controllable 123Sb nuclear spins. Promising architectures require the ability to fabricate arrays of individual near-surface dopant atoms with high yield. Here, an on-chip detector electrode system with 70 eV root-mean-square noise (≈20 electrons) is employed to demonstrate near-room-temperature implantation of single 14 keV 31P+ ions. The physics model for the ion–solid interaction shows an unprecedented upper-bound single-ion-detection confidence of 99.85 ± 0.02% for near-surface implants. As a result, the practical controlled silicon doping yield is limited by materials engineering factors including surface gate oxides in which detected ions may stop. For a device with 6 nm gate oxide and 14 keV 31P+ implants, a yield limit of 98.1% is demonstrated. Thinner gate oxides allow this limit to converge to the upper-bound. Deterministic single-ion implantation can therefore be a viable materials engineering strategy for scalable dopant architectures in silicon devices.

Funding

ARC Centre of Excellence for Quantum Computation and Communication Technology

Australian Research Council

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History

Related Materials

  1. 1.
    DOI - Is published in 10.1002/adma.202103235
  2. 2.
    ISSN - Is published in 09359648

Journal

Advanced Materials

Volume

34

Number

2103235

Issue

3

Start page

1

End page

12

Total pages

12

Publisher

Wiley

Place published

Germany

Language

English

Copyright

© 2021 The Authors. Advanced Materials published by Wiley-VCH GmbH

Former Identifier

2006115354

Esploro creation date

2022-05-28

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