Abstract:
:Efficiently detecting and characterizing individual spins in solid-state hosts is an essential step to expand the fields of quantum sensing and quantum information processing. While selective detection and control of a few 13C nuclear spins in diamond have been demonstrated using the electron spin of nitrogen-vacancy (NV) centers, a reliable, efficient, and automatic characterization method is desired. Here, we develop an automated algorithmic method for decomposing spectral data to identify and characterize multiple nuclear spins in diamond. We demonstrate efficient nuclear spin identification and accurate reproduction of hyperfine interaction components for both virtual and experimental nuclear spectroscopy data. We conduct a systematic analysis of this methodology and discuss the range of hyperfine interaction components of each nuclear spin that the method can efficiently detect. The result demonstrates a systematic approach that automatically detects nuclear spins with the aid of computational methods, facilitating the future scalability of devices.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Oh H,Yun J,Abobeih MH,Jung KH,Kim K,Taminiau TH,Kim Ddoi
10.1038/s41598-020-71339-6subject
Has Abstractpub_date
2020-09-10 00:00:00pages
14884issue
1issn
2045-2322pii
10.1038/s41598-020-71339-6journal_volume
10pub_type
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