POSTECH Develops Quantum LiDAR for Simultaneous Multi-Target Detection
New photon-pair correlation technology identifies multiple targets in environments with noise 1,000 times stronger than the signal.
A research team at POSTECH has developed a quantum LiDAR system capable of simultaneously detecting the distance and direction of multiple targets. Led by Professor Hee-deuk Shin, this breakthrough moves beyond the limitations of traditional scanning methods to provide instantaneous multi-directional data.
Unlike conventional LiDAR, which maps an environment by sequentially changing the direction of light pulses, the new system utilizes the correlation of photon pairs. By leveraging the wavelength and time correlation of these photons, the technology captures data from several targets at once. The research team reports that the system is exceptionally resilient to interference, identifying targets even in environments where noise levels are 1,000 times higher than the signal. These findings were recently published in the international journal Laser & Photonics Reviews.
The Shift to Quantum Sensing
LiDAR (Light Detection and Ranging) is a foundational technology for autonomous vehicles and modern defense systems, typically relying on pulsed lasers to create 3D maps of surroundings. However, classical LiDAR faces significant hurdles, including susceptibility to electronic jamming, interference from intense sunlight, and the inherent latency caused by mechanical scanning. Quantum LiDAR addresses these issues by using the unique properties of quantum mechanics to distinguish signal photons from background noise, allowing for higher precision and faster acquisition of spatial data.
Implications for Defense and Navigation
This development significantly enhances the efficiency and stealth of target detection. By eliminating the need for sequential scanning, the system reduces the time required to map a scene—a critical advantage for detecting fast-moving or stealthy objects such as drones and aircraft. Furthermore, the ability to maintain high sensitivity in extreme noise environments makes the technology viable for high-precision autonomous navigation in adverse weather or lighting conditions where traditional sensors often fail.
Path to Implementation
The research was supported by the Agency for Defense Development (ADD) Future Challenge Defense Technology R&D project and the Institute for Information & communications Technology Planning & Evaluation (IITP) University ICT Research Center (ITRC) project. While the technology represents a major leap in sensing capability, it remains in the early stages of development. Professor Hee-deuk Shin noted that while the system is currently in the principle verification stage, it is meaningful to have demonstrated a quantum LiDAR structure capable of reading multiple targets in low-light environments. Future efforts will focus on scaling the hardware for real-world deployment.