Quantum Inspired LiDAR and Optical Information Processing with Chaotic Modes

We demonstrate a quantum-inspired LiDAR that utilizes optical parametric processes for optical correlation analysis. Up to 100 dB rejection of inband noise is achieved. The chaotic time-frequency modes used can also help high-speed quantum information processing.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.1364/cleo_at.2025.aa106_3
Primary Topic
Random lasers and scattering media
Type
article
Field-Weighted Citation Impact
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article

Quantum Inspired LiDAR and Optical Information Processing with Chaotic Modes

Georgios Papangelakis, Amr S. Helmy, Han Liu, Changhao Qin
Random lasers and scattering media
article

Quantum Inspired LiDAR and Optical Information Processing with Chaotic Modes

Georgios Papangelakis, Amr S. Helmy, Han Liu, Changhao Qin
article en

Abstract

We demonstrate a quantum-inspired LiDAR that utilizes optical parametric processes for optical correlation analysis. Up to 100 dB rejection of inband noise is achieved. The chaotic time-frequency modes used can also help high-speed quantum information processing.

Openalex Percentile: Top 80%
Random lasers and scattering media
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Quantum Inspired LiDAR and Optical Information Processing with Chaotic Modes — Georgios Papangelakis, Amr S. Helmy, et al. · (2025) | TGRS Research Map | TGRS