Quantum-Enhanced FAST CARS for Remote Detection Using a Multi-Static Platform
Abstract
We propose a new quantum principle based approach for remote detection of hazardous contaminants. It is based on quantum-enabled coherent anti-Stokes Raman scattering (CARS) of laser radiation from the distant molecules in the backward direction. The quantum enhancement is made by implementing quantum control methodology, which maximizes quantum coherence in the target molecules. Coherent signal in the backward direction is sustained by application of phase locked pulse train, which forms an optical frequency comb. The implementation of quantum control methods in combination with optical frequency combs in CARS for remote detection presents a fundamentally new approach within Femtosecond Adaptive Spectroscopic Techniques (FAST CARS). Each pulse in the pulse train is analyzed and controlled using the deep learning algorithm. Deep neural networks are used to analyze the modulation of the phase of the laser fields propagating through the air and aids in making adjustments to the control algorithm for the laser fields.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 13, 2023
- Accession Number
- AD1203836
Entities
People
- Svetlana A. Malinovskaya
Organizations
- Stevens Institute of Technology