Optimal Dynamic Discrimination of Similar Molecules Explointing OFC Sources

Abstract

The detection of the individual members in a mixture of similar chemicals, biologics or materials in a host of circumstances is a widely-recognized DoD need of high importance, which has generally defied traditional means at sensing in complex scenarios. This goal is especially difficult when the sample cannot be actively manipulated or subject to chromatography techniques (e.g., the need applies to any sample which must be sensed in situ regardless of whether its within centimeters or at meters or even further away). This multi-species detection challenge becomes increasingly demanding when the species for discrimination have broad nearly featureless spectra, which is often the case for large biological molecules, that in turn are surrounded by a complex spectrally active media as well. In recognition of this need, as background for the present research, we developed the principle referred to as optimal dynamic discrimination (ODD) based on the use of quantum control techniques which showed that the prospect existed for achieving high quality discrimination, although the necessary optical resources must be determined in the laboratory tailored to the application.

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Document Details

Document Type
Technical Report
Publication Date
May 19, 2018
Accession Number
AD1061252

Entities

People

  • Herschel A. Rabitz

Organizations

  • Princeton University

Tags

DTIC Thesaurus Topics

  • Absorption Spectra
  • Algorithms
  • Bandwidth
  • Computational Biology
  • Data Analysis
  • Detection
  • Discrimination
  • Experimental Design
  • Fluorescence
  • Frequency
  • Frequency Combs
  • Frequency Modulation
  • Heterodyne Detection
  • Information Operations
  • Lasers
  • Measurement
  • Military Research
  • Modulation
  • Modulators
  • Molecules
  • Numerical Analysis
  • Quantum Yields
  • Spectra
  • Standards
  • Systems Biology

Readers

  • Distributed Systems and Data Platform Development
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design

Technology Areas

  • Quantum Computing