Miao Wu

ORCID: 0000-0001-7257-8512
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About
Contact & Profiles
Research Areas
  • Advanced Optical Sensing Technologies
  • Remote Sensing and LiDAR Applications
  • Advanced Fluorescence Microscopy Techniques
  • Random lasers and scattering media
  • Optical measurement and interference techniques

Nanjing University of Science and Technology
2022-2025

Abstract Quantum-inspired imaging techniques have been proven to be effective for LiDAR with the advances of single photon detectors and computational algorithms. However, due disturbance background noise varies signal in outdoor environment, performance is still far from its ultimate limit set by quantum fluctuations coherent probe light. In this work, we propose demonstrate a detection perspective approaching standard quantum-limited performance. The numbers echo signals are recorded...

10.1038/s41377-025-01790-5 article EN cc-by Light Science & Applications 2025-03-26

Single-photon light detection and ranging (LiDAR) is widely used to reconstruct 3D scenes. Nevertheless, depth reflectivity maps obtained by single-photon usually suffer from noise problems. Threshold LiDAR techniques using photon-number-resolving detectors were proposed suppress filtering low photon numbers, but these renounce multiple levels of information could not be compatible when it comes high-noise low-signal regime. In this manuscript, we propose a scheme which combines the...

10.1364/oe.509252 article EN cc-by Optics Express 2024-01-04

<title>Abstract</title> Quantum-inspired imaging techniques have been proven to be effective for LiDAR with the advances of single photon detectors and computational algorithms. However, quantum-limited performance is still far from its ultimate limit set by quantum fluctuations signal noise photons. In this work, we propose demonstrate detection perspective approaching performance. A photon-number-resolving detector introduced accurately reconstruct echo signals in a wide photon-flux range...

10.21203/rs.3.rs-2823538/v1 preprint EN cc-by Research Square (Research Square) 2023-05-09
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