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High-quality, deep formation and identification of oxygen-vacancy defects in silicon carbide
Ryo Shiotani, Fu-Chieh Chuang, Mitsuaki Kaneko, Tetsuri Nishikawa, Hiroshi Abe, Taiga Matsuoka, Shigehito Miki, Kazuki Okajima, Takeshi Ohshima, Yoshihiko Kanemitsu, Tsunenobu Kimoto, Naoya Morioka, Norikazu Mizuochi

High-quality, deep formation and identification of oxygen-vacancy defects in silicon carbide

Computer Science & Mathematics Published 2026 Verification Pending

Overview & Synopsis

Optically addressable paramagnetic defects in silicon carbide (SiC) are attractive for scalable quantum technologies such as quantum sensing. PL5, PL6, and PL7 are promising defects for their high brightness and spin-readout contrast. Although generation by oxygen implantation has been reported very recently, nonuniform spin and optical properties and the limited generation depth of implanted defects hinder both high-sensitivity sensing and conclusive microscopic identification. Here we engineer high-quality defects by decoupling oxygen incorporation and defect formation, realizing highly homogeneous spin-resonance frequencies as well as narrow optical linewidths and long T2* coherence time. Further, we demonstrate defect formation beyond the ion range utilizing oxygen diffusion, exceptional among impurities in SiC. We further provide hyperfine-interaction statistics of 17O and host nuclei across many PL6 defects, making the oxygen-vacancy origin conclusive. Together, the microscopic identification and the demonstrated formation route establish a foundation for developing the oxygen-vacancy spin defect into a versatile quantum platform.

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Indexed from repository: arXiv (arxiv.org)
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Document Information

Document Title High-quality, deep formation and identification of oxygen-vacancy defects in silicon carbide
Author / Organization Ryo Shiotani, Fu-Chieh Chuang, Mitsuaki Kaneko, Tetsuri Nishikawa, Hiroshi Abe, Taiga Matsuoka, Shigehito Miki, Kazuki Okajima, Takeshi Ohshima, Yoshihiko Kanemitsu, Tsunenobu Kimoto, Naoya Morioka, Norikazu Mizuochi
Subject & Discipline cond-mat.mtrl-sci
Categories Computer Science & Mathematics
Publication Year 2026
License / Rights arXiv Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website arXiv (arxiv.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-118505
Original Source Link Visit Source Page on arxiv.org »