Identification of Defects and the Origins of Surface Noise on Hydrogen–Terminated (100) Diamond

Abstract Near‐surface nitrogen vacancy centres are critical to many diamond‐based quantum technologies such as information processors and nanosensors. Surface defects play an important role in the design and performance of these devices. The targeted creation of defects is central to proposed bottom‐up approaches to nanofabrication of quantum diamond processors, and uncontrolled surface defects may generate noise and charge trapping which degrade shallow NV device performance. Surface preparation protocols may be able to control the production of desired defects and eliminate unwanted defects, but only if their atomic structure can first be conclusively identified. This work uses a combination of scanning tunnelling microscopy (STM) imaging and first‐principles simulations to identify several surface defects on H:C(100)—2 × 1 surfaces prepared using chemical vapour deposition (CVD). The atomic structure of these defects is elucidated, from which the microscopic origins of magnetic noise and charge trapping are determined based on the modeling of their paramagnetic properties and acceptor states. Rudimentary control of these deleterious properties is demonstrated through STM tip‐induced manipulation of the defect structure. Furthermore, the results validate accepted models for CVD diamond growth by identifying key adsorbates responsible for the nucleation of new layers.

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Publication Details

Journal
Advanced Materials Interfaces
Published
2024-11-18
DOI
https://doi.org/10.1002/admi.202400695
Citations
4
Primary Topic
Diamond and Carbon-based Materials Research
Type
article
Field-Weighted Citation Impact
0.47

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article

Identification of Defects and the Origins of Surface Noise on Hydrogen–Terminated (100) Diamond

Yi‐Ying Sung, Alastair Stacey, Cédric Weber, Lachlan M. Oberg et al.
4 citations
Advanced Materials Interfaces
Diamond and Carbon-based Materials Research
0.47
article

Identification of Defects and the Origins of Surface Noise on Hydrogen–Terminated (100) Diamond

Yi‐Ying Sung, Alastair Stacey, Cédric Weber, Lachlan M. Oberg, Santiago Corujeira Gallo, C. I. Pakes, Rebecca Griffin, Henry Chandler, Alex K. Schenk, Tetiana Sergeieva, Marcus W. Doherty
article en
4 citations

Abstract

Abstract Near‐surface nitrogen vacancy centres are critical to many diamond‐based quantum technologies such as information processors and nanosensors. Surface defects play an important role in the design and performance of these devices. The targeted creation of defects is central to proposed bottom‐up approaches to nanofabrication of quantum diamond processors, and uncontrolled surface defects may generate noise and charge trapping which degrade shallow NV device performance. Surface preparation protocols may be able to control the production of desired defects and eliminate unwanted defects, but only if their atomic structure can first be conclusively identified. This work uses a combination of scanning tunnelling microscopy (STM) imaging and first‐principles simulations to identify several surface defects on H:C(100)—2 × 1 surfaces prepared using chemical vapour deposition (CVD). The atomic structure of these defects is elucidated, from which the microscopic origins of magnetic noise and charge trapping are determined based on the modeling of their paramagnetic properties and acceptor states. Rudimentary control of these deleterious properties is demonstrated through STM tip‐induced manipulation of the defect structure. Furthermore, the results validate accepted models for CVD diamond growth by identifying key adsorbates responsible for the nucleation of new layers.

Advanced Materials InterfacesVol. 12(6)
Australian National University (AU), La Trobe University (AU), Princeton University (US), Princeton Plasma Physics Laboratory (US), Quantum (Australia) (AU), RMIT University (AU)
Australian National Fabrication Facility, National Computational Infrastructure, Australian Government, Australian Research Council, National Cancer Institute
Openalex Percentile: Top 37%
Diamond and Carbon-based Materials Research
0.47
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