Cross‐Correlated Quantum Thermometry Using Diamond Containing Dual‐Defect Centers

Autor: Gupta, Madhav, Zhang, Tongtong, Yeung, Lambert, Zhang, Jiahua, Tan, Yayin, Yiu, Yau Chuen, Zhang, Shuxiang, Wang, Qi, Wang, Zhongqiang, Chu, Zhiqin
Zdroj: Advanced Sensor Research; January 2024, Vol. 3 Issue: 1
Abstrakt: The contactless temperature measurement at micro/nanoscale is vital to a broad range of fields in modern science and technology. The nitrogen‐vacancy (NV) center, a kind of diamond defect with unique spin‐dependent photoluminescence, is recognized as one of the most promising nanothermometers. However, this quantum thermometry technique is prone to a number of possible perturbations, which will unavoidably degrade its actual temperature sensitivity. Here, for the first time, a cross‐validated optical thermometry method is developed using a bulk diamond sample containing both NV centers and silicon‐vacancy (SiV) centers, achieving a sensitivity of 22 and 86 mK (√Hz)−1respectively. Particularly, the latter has been intrinsically immune to those influencing perturbations for the NV‐based quantum thermometry, hence serving as a real‐time cross‐validation system. As a proof‐of‐concept demonstration, a trustworthy temperature measurement is shown under the influence of varying magnetic fields, which is a common artefact present in practical systems. This multi‐modality approach allows synchronized cross‐validation of the measured temperature, which is required for micro/nanoscale quantum thermometry in complicated environments such as a living cell. An optical thermometry method using a diamond sample containing dual defects, i.e., both Nitrogen Vacancy and Silicon Vacancy (SiV) centers are developed. By measuring temperature using two different modalities having different physics, the approach avoids sensor confusion and improves the measurement confidence. This allows a synchronized cross‐validation of the measured temperature, which is required for complicated environments such as living cells.
Databáze: Supplemental Index