A Super-resolution Optical Classifier with High Photon Efficiency
arXiv:2006.16713 · doi:10.1364/OL.401614
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.
4 pages, 5 figures
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- General expressions for the quantum Fisher information matrix with applications to discrete quantum imaging
- Identifying Objects at the Quantum Limit for Super-Resolution Imaging
- Single-Pixel Pattern Recognition with Coherent Nonlinear Optics
- Quantum-accelerated imaging of N stars
- Imaging arbitrary incoherent source distributions with near quantum-limited resolution
- Time-Spatial Mode Selective Quantum Frequency Converter
- Efficient superoscillation measurement for incoherent optical imaging
- A Robust Super-Resolution Classifier by Nonlinear Optics
- Entropy Computing, A Paradigm for Optimization in Open Photonic Systems
- Tight information bounds for spontaneous emission lifetime resolution of quantum sources with varied spectral purity