Quantum-Correlation-Based Multi-Emitter Localization in Information-Limited Regimes via Learned Inference

Quantum correlation measurements have emerged as a powerful tool for localizing multiple emitters with subwavelength separation. Multi-emitter localization consists of two distinct tasks: identifying the emitter count $N$ and estimating their positions $\left\{x^{i}\right\}$. Existing fit-and-select