This project will develop novel Artificial Intelligence (AI) techniques for position location, considering both the algorithm’s performance and its ability to be implemented efficiently in hardware.

We will apply state-of-the-art signal processing techniques (e.g. online sequential Bayesian inference, reinforcement learning) to make spin-based quantum sensors faster, more robust against noise and changing environments, and more user-friendly, with the goal of detecting weak nanoscale magnetic resonance signals from small ensembles of molecules.