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Graphene-Enhanced Single Ion Detectors for Deterministic Near-Surface Dopant Implantation in Diamond

journal contribution
posted on 2024-11-03, 11:16 authored by Nicholas Collins, Alexander Jakob, Simon Robson, Shao Lim, Paul Räcke, Brett Johnson, Boqing Liu, Yuerui Lu, Daniel Spemann, Jeffrey McCallum, David Jamieson
Diamond color centers with applications to single photon sources, quantum computation, and magnetic field sensing down to the nanoscale have been investigated using ensembles of near-surface implanted atoms. Deterministic ion implantation for ions stopping between 30 and 130 nm deep is demonstrated by configuring an electronic-grade diamond substrate with a biased surface graphene electrode connected to charge sensitive electronics. The thin graphene electrode has a negligible surface dead layer, so implantation events are signaled from the drift of electron–hole pairs induced by the dissipation of ion kinetic energy in the substrate. Ion beam induced charge maps from a scanned 1 MeV He microbeam show the graphene electrode is highly effective with a charge collection efficiency up to 86% compared to an O-terminated diamond surface of 30%. For lower energy ions, applicable to near surface implantation, single ion detection confidence is >99(1)% for 19.5 keV H and 85(2)% for 24 keV N ions to allow maps of device surface features by employing a focused ion beam microscope or an atomic force microscope cantilever incorporating a nanostencil beam collimator. In the near-term, this system can be used to investigate the annealing dynamics for the conversion of single implanted ions into diamond color centers.

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/adfm.202306601
  2. 2.
    ISSN - Is published in 1616301X

Journal

Advanced Functional Materials

Volume

33

Number

2306601

Issue

51

Start page

1

End page

10

Total pages

10

Publisher

Wiley

Place published

Germany

Language

English

Copyright

© 2023 The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License

Former Identifier

2006127579

Esploro creation date

2024-01-19

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