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Measuring, processing, and generating partially coherent light with self-configuring optics.

Charles Roques-Carmes1, Shanhui Fan2, David A B Miller2

  • 1E. L. Ginzton Laboratory, Stanford University, 348 Via Pueblo, Stanford, CA, 94305, USA. chrc@stanford.edu.

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Summary
This summary is machine-generated.

We developed a novel method using self-configuring optical networks to analyze and generate partially coherent light in multimode systems. This technique separates light into incoherent components, enabling advanced optical sensing and quantum applications.

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Area of Science:

  • Optics and Photonics
  • Quantum Information Science

Background:

  • Partial coherence is fundamental to optical phenomena and crucial in multimodal systems.
  • Correlations in spatial, polarization, and spectral degrees of freedom drive advanced imaging and sensing.

Purpose of the Study:

  • To present a universal method for analyzing, processing, and generating spatially partially coherent light in multimode systems.
  • To leverage self-configuring optical networks for automated modal decomposition and manipulation of light.
  • To demonstrate applications in environmental sensing, arbitrary coherency matrix generation, and quantum optical mixture unscrambling.

Main Methods:

  • Utilizing cascaded self-configuring optical network layers with sequentially optimized average power outputs.
  • Employing a method equivalent to diagonalizing the input density matrix to separate mutually incoherent components.
  • Performing numerical simulations with Mach-Zehnder interferometer arrays to validate the approach.

Main Results:

  • Demonstrated separation of partially coherent light into its mutually incoherent components.
  • Showcased applications including partially coherent environmental light sensing and generation of multimode partially coherent light.
  • Illustrated the unscrambling of quantum optical mixtures and provided guidelines for experimental realization.

Conclusions:

  • The proposed self-configuring optical network offers a universal approach to managing partially coherent light in multimode systems.
  • This method facilitates automated learning of optimal modal representations for partially coherent light fields.
  • Paves the way for advanced self-configuring photonic devices for sensing and quantum information processing.