# Real‐Time Nuclear Magnetic Resonance Detection Using Maximum Likelihood Estimation with Single‐Shallow‐Nitrogen‐Vacancy Centers in Quantum Heterodyne Measurements

https://mdr.nims.go.jp/datasets/bb52529d-7987-4ce0-a21b-b97471f5c069

## Download

- [Chanuntranont_PSSA_v1.pdf](https://mdr.nims.go.jp/filesets/3fe3ad6f-5b5b-47a3-a70f-a5984c52486d/download)

## Id

bb52529d-7987-4ce0-a21b-b97471f5c069

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-11-24T05:47:28.122419Z

## Updated at

2025-12-19T07:30:43.049858Z

## Published at

2025-12-19T05:11:51.603998Z

## Doi

https://doi.org/10.48505/nims.6026

## First published url

https://doi.org/10.1002/pssa.202400307

## Date published

2024-10-22

## Recorded date published

2025-3

## Resource type

journal_article

## Manuscript type

authors_original

## Collection



## Title

- title: Real‐Time Nuclear Magnetic Resonance Detection Using Maximum Likelihood Estimation
    with Single‐Shallow‐Nitrogen‐Vacancy Centers in Quantum Heterodyne Measurements
  title_type: original
  lang: en

## Description

- description: ダイヤモンドにある窒素空孔（NV）中心は、非常に有望な量子核磁気共鳴（NMR）センサーです。しかし、表面不純物やアバランシェフォトダイオードからのショットノイズ、量子システム固有のスピン状態投影誤差により、性能が制限されます。NMR信号を検出するためには、データを十分に蓄積するために長時間の測定が必要です。そこで、NMR信号検出のための蓄積時間を短縮する方法が求められています。この論文では、量子ヘテロダインNMR測定のための最大尤度推定（MLE）信号処理のオンライン手法を紹介し、蓄積必要時間を大幅に短縮し、リアルタイムで周波数の正確な推定を可能にします。この成果は、広範囲を調べる際に迅速に信号を確認する必要があるNMR検出の実践者にとって重要です。
  description_type: abstract
  lang: und

## Creator

- name: Akirabha Chanuntranont
  role: author
- name: Daiki Saito
  role: author
- name: Kazuki Otani
  role: author
- name: Tomoki Ota
  role: author
- name: Yuki Ueda
  role: author
- name: Masato Tsugawa
  role: author
- name: Shuntaro Usui
  role: author
- name: Yuto Miyake
  role: author
- name: Tokuyuki Teraji
  role: author
  orcid: https://orcid.org/0000-0002-7731-0547
  organization: National Institute for Materials Science
- name: Shinobu Onoda
  role: author
- name: Takahiro Shinada
  role: author
- name: Hiroshi Kawarada
  role: author
- name: Takashi Tanii
  role: author

## Contact agent



## Publisher

organization: Wiley

## Managing organization



## Keyword

- subject: 量子センサー
  schema: not_defined
- subject: NVセンター
  schema: not_defined
- subject: NMR信号検出
  schema: not_defined

## Rights

- description: 'This is the pre-peer reviewed version of the following article:Chanuntranont,
    A., Saito, D., Otani, K., Ota, T., Ueda, Y., Tsugawa, M., Usui, S., Miyake, Y.,
    Teraji, T., Onoda, S., Shinada, T., Kawarada, H. and Tanii, T. (2025), Real-Time
    Nuclear Magnetic Resonance Detection Using Maximum Likelihood Estimation with
    Single-Shallow-Nitrogen-Vacancy Centers in Quantum Heterodyne Measurements. Phys.
    Status Solidi A, 222: 2400307, which has been published in final form at https://doi.org/10.1002/pssa.202400307.
    This article may be used for non-commercial purposes in accordance with Wiley
    Terms and Conditions for Use of Self-Archived Versions.'
  identifier: http://rightsstatements.org/vocab/InC/1.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: physica status solidi (a)
  issn: '18626319'
  volume: '222'
  issue: '5'
  article_number: '2400307'

## Conference



## Related item



## Funding

- identifier: JP22H01921
  funder_name: Japan Society for the Promotion of Science
- identifier: JP18H03766
  funder_name: Japan Society for the Promotion of Science
- identifier: JP23H00169
  funder_name: Japan Society for the Promotion of Science
- identifier: 20H02187
  funder_name: Japan Society for the Promotion of Science
- identifier: 20H05661
  funder_name: Japan Society for the Promotion of Science
- funder_name: Ministry of Education, Culture, Sports, Science and Technology

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## Specimen



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## Fileset

- id: 3fe3ad6f-5b5b-47a3-a70f-a5984c52486d
  filename: Chanuntranont_PSSA_v1.pdf
  content_type: application/pdf
  size: 2049849
  md5: a08494d6d7b53a57a9427e7eb3728462

## Thumbnail

fileset_id: 3fe3ad6f-5b5b-47a3-a70f-a5984c52486d
filename: Chanuntranont_PSSA_v1.pdf