Algorithmic decomposition for efficient multiple nuclear spin detection in diamond

Algorithmic decomposition for efficient multiple nuclear spin detection in diamond

Oh, Hyunseok (Seoul National University)
Yun, Jiwon (Seoul National University)
Abobeih, M.H.M.A. (TU Delft QID/Taminiau Lab; TU Delft QuTech Advanced Research Centre; Kavli institute of nanoscience Delft)
Jung, Kyung Hoon (Seoul National University)
Kim, Kiho (Seoul National University)
Taminiau, T.H. (TU Delft QID/Taminiau Lab; TU Delft QuTech Advanced Research Centre; Kavli institute of nanoscience Delft)
Kim, Dohun (Seoul National University)

2020

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.

http://resolver.tudelft.nl/uuid:899b6bf1-982d-4002-b480-1ac5b1ef2da1

https://doi.org/10.1038/s41598-020-71339-6

2045-2322

Scientific Reports, 10 (1)

Institutional Repository

journal article

© 2020 Hyunseok Oh, Jiwon Yun, M.H.M.A. Abobeih, Kyung Hoon Jung, Kiho Kim, T.H. Taminiau, Dohun Kim