Resolution limits of spatial mode demultiplexing with noisy detection
Yink Loong Len, Chandan Datta, Micha{\l} Parniak, and Konrad Banaszek

TL;DR
This paper investigates the fundamental resolution limits of spatial mode demultiplexing in super-resolution imaging under noisy detection, revealing that noise imposes a SNR-dependent resolution bound.
Contribution
It provides a theoretical analysis of how noise affects the resolution limits in spatial mode demultiplexing, deriving a SNR-based resolution scaling law.
Findings
Resolution scales as SNR^{-1/2} in noisy conditions
Different detection techniques exhibit similar noise-limited resolution bounds
The study highlights the impact of detector noise on super-resolution imaging performance
Abstract
We consider the problem of estimating the spatial separation between two mutually incoherent point light sources using the super-resolution imaging technique based on spatial mode demultiplexing with noisy detectors. We show that in the presence of noise the resolution of the measurement is limited by the signal-to-noise ratio (SNR) and the minimum resolvable spatial separation has a characteristic dependence of SNR. Several detection techniques, including direct photon counting, as well as homodyne and heterodyne detection are considered.
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