We propose and demonstrate a photon-efficient optical classifier to overcome the Rayleigh limit in spatial resolution. It utilizes mode-selective sum frequency generation and single-pixel photon detection to resolve closely spaced incoherent sources based on photon counting statistics. Super-resolving and photon efficient, this technique can find applications in microscopy, light detection and ranging (LiDAR), and astrophysics.
@article{arxiv.2006.16713,
title = {A Super-resolution Optical Classifier with High Photon Efficiency},
author = {He Zhang and Santosh Kumar and Yu-Ping Huang},
journal= {arXiv preprint arXiv:2006.16713},
year = {2020}
}