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Reaching the precision limit with tensor-based wavefront shaping.

Rodrigo Gutiérrez-Cuevas1, Dorian Bouchet2, Julien de Rosny3

  • 1Institut Langevin, ESPCI Paris, Université PSL, CNRS, 75005, Paris, France. rodrigo.gutierrez-cuevas@espci.fr.

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Summary
This summary is machine-generated.

This study enhances light-matter interaction with complex media perturbations, using tensor methods to boost sensing precision. It achieves over a four-order-of-magnitude increase in Fisher information for robust optical sensing applications.

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Area of Science:

  • Optics and Photonics
  • Machine Learning Applications
  • Complex Media Physics

Background:

  • Perturbations in complex media are typically managed to minimize their detrimental effects.
  • Conventional approaches in telecommunication and imaging focus on reducing sensitivity to media perturbations.
  • This research shifts focus to amplifying light-matter interaction with perturbations for enhanced sensing.

Purpose of the Study:

  • To develop a novel framework for enhancing light-perturbation interactions in complex media.
  • To identify maximum-information intensity channels for sensing applications.
  • To achieve unprecedented precision in intensity-based measurements.

Main Methods:

  • Utilizing tensor-based techniques, a machine learning approach, to analyze intensity-based measurements.
  • Studying the quadratic relationship between light field and intensity distribution.
  • Developing strategies to reach the ultimate precision limit for intensity-based measurements.

Main Results:

  • Identification of a tensor-based framework for studying intensity measurements.
  • Discovery of maximum-information intensity channels that maximize output intensity changes.
  • Experimental demonstration of superior performance in robust and precise sensing.
  • Achieving a >4 orders of magnitude increase in Fisher information compared to random wavefronts.

Conclusions:

  • Tensor-based methods offer a powerful approach for analyzing complex light-media interactions.
  • This work enables significantly more precise and robust sensing applications.
  • The developed strategy pushes the boundaries of precision in intensity-based optical measurements.