Microwave Spectrum Detection at Microscopic Scale Based on Nitrogen Vacancy Center in Diamond

Yusong Liu, Yue Qin, Qi Wang, Hao Guo*, Jie Li, Zhonghao Li, Huanfei Wen, Zongmin Ma, Jun Tang*, Jun Liu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

A machine learning-based microwave spectrum detection method based on the nitrogen vacancy (NV) color centers in diamonds is proposed. The functional relationship between the fluorescence spectrum and standard microwave spectrum is established. The response matrix is calculated using the Tikhonov regularization technique, and an unknown microwave spectrum is reconstructed. Diamond particles with a size of only 5 × 5 μm2 are placed in the microfluidic structures. Consequently, the frequency detection range of the microwave spectrum is from 2.892 to 6.214 GHz with a resolution of 22 kHz. The proposed research opens new paths for microwave spectrum detection and imaging at the microscopic scale.

Original languageEnglish
Article number2200498
JournalPhysica Status Solidi - Rapid Research Letters
Volume17
Issue number5
DOIs
Publication statusPublished - May 2023
Externally publishedYes

Keywords

  • machine learning
  • microwave spectrum detection
  • nitrogen vacancy color center in diamond

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