Quantum Advantage in Sensing and Imaging through Coherent Nuisance Suppression

arXiv:2611.05868v1 Announce Type: new Abstract: Many sensing and imaging problems must contend with unknown nuisance parameters such as aberrations, background fields, and drift, and the cost of removing these noise sources can dominate the sample budget. In contrast to classical receivers, a quantum receiver can processes samples jointly to directly access observables in which common nuisance is suppressed. We introduce a relational Fourier sampling algorithm for optimal, source-independent imaging with a programmable quantum camera, which uses quantum pixels and a quantum computer to capture and process photon states. We demonstrate its relevance for general astronomical imaging as well as super-resolution and transient-object tracking through drifting atmospheric turbulence.