A Super-resolution Optical Classifier with High Photon Efficiency
He Zhang, Santosh Kumar, and Yu-Ping Huang
TL;DR
This paper introduces a photon-efficient optical classifier that surpasses the Rayleigh limit by using mode-selective sum frequency generation and single-pixel photon detection, enabling high-resolution imaging in various scientific fields.
Contribution
It presents a novel super-resolution optical classification method combining mode-selective sum frequency generation with photon counting, improving resolution beyond traditional limits.
Findings
Achieved super-resolution beyond Rayleigh limit.
Demonstrated high photon efficiency in optical classification.
Applicable to microscopy, LiDAR, and astrophysics.
Abstract
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.
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