Quantum Sensing of Magnetic Fields Using Atom Arrays
Anastasiia Mashko
Location: QNC 1201
Abstract
Quantum information science has enabled new approaches to simulation, computation, metrology, and sensing. As quantum devices scale to larger numbers of qubits and longer operating times, spatial inhomogeneities and temporal noise become important limitations to coherent control, characterization, and overall device performance. Conventional characterization techniques often rely on spatial averaging or sequential measurements, making efficient reconstruction of spatially varying fields challenging.
In this talk, I will demonstrate that neutral-atom arrays with periodic geometries enable sensing protocols that exploit the spatial information contained in distributed quantum measurements to perform single-shot multiparameter estimation of the global magnetic and linear magnetic-field gradients. By combining coherent control, atom-resolved detection, and spatially resolved signal processing, these protocols transform a neutral-atom array from a collection of individual sensors into a distributed quantum sensing platform capable of characterizing spatially varying magnetic fields and actively stabilizing the global magnetic field in large-scale quantum systems.