Université de Sherbrooke

Published purpose

While quantum magnetometers have achieved remarkable sensitivity, accuracy and stability can be key to real-world deployment. The Project exploits the quantum states of nitrogen-vacancy (NV) centers in diamond to target development of a portable vector magnetometer with best-in-class accuracy. Comprising experts in NV physics, quantum control and optimization, and machine learning, along with scientists from startup SBQuantum skilled in magnetometer design, calibration and deployment, the Project team tackles this challenge across multiple fronts, from improved fundamental physical models to optimized control and state-of-the-art machine learning calibrations. Highly accurate vector magnetometry opens the door to stable sensor arrays that can detect and differentiate magnetic and conductive materials, a key capability for security technology. The Project team examines optimal strategies to recently developed deploy accurate vector magnetometers for remote threat detection, laying the groundwork for commercial and defence applications that could significantly impact Canadian society.