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“Widefield diamond quantum sensing with neuromorphic vision sensors”, a paper in Advanced Science

Dec 27, 2023

Dr Ngai Wong, Dr Can Li & Dr Zhiqin Chu of the Department of Electrical and Electronic Engineering and their team worked on the research for the topic “Widefield Diamond Quantum Sensing with Neuromorphic Vision Sensors”. The research findings were recently published in Advanced Science on November 8, 2023.

Details of the publication:

Widefield Diamond Quantum Sensing with Neuromorphic Vision Sensors

Zhiyuan Du, Madhav Gupta, Feng Xu, Kai Zhang, Jiahua Zhang, Yan Zhou, Yiyao Liu, Zhenyu Wang, Jörg Wrachtrup, Ngai Wong, Can Li, Zhiqin Chu, article in Advanced Science

https://onlinelibrary.wiley.com/doi/10.1002/advs.202304355

Abstract

Despite increasing interest in developing ultrasensitive widefield diamond magnetometry for various applications, achieving high temporal resolution and sensitivity simultaneously remains a key challenge. This is largely due to the transfer and processing of massive amounts of data from the frame-based sensor to capture the widefield fluorescence intensity of spin defects in diamonds. In this study, a neuromorphic vision sensor to encode the changes of fluorescence intensity into spikes in the optically detected magnetic resonance (ODMR) measurements is adopted, closely resembling the operation of the human vision system, which leads to highly compressed data volume and reduced latency. It also results in a vast dynamic range, high temporal resolution, and exceptional signal-to-background ratio. After a thorough theoretical evaluation, the experiment with an off-the-shelf event camera demonstrated a 13× improvement in temporal resolution with comparable precision of detecting ODMR resonance frequencies compared with the state-of-the-art highly specialized frame-based approach. It is successfully deploy this technology in monitoring dynamically modulated laser heating of gold nanoparticles coated on a diamond surface, a recognizably difficult task using existing approaches. The current development provides new insights for high-precision and low-latency widefield quantum sensing, with possibilities for integration with emerging memory devices to realize more intelligent quantum sensors.