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Self-configuring high-speed multi-plane light conversion.

José C A Rocha1,2, Unė G Būtaitė3, Joel Carpenter4

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This summary is machine-generated.

We developed a self-configuring multi-plane light converter (MPLC) that rapidly adapts to real-world conditions. This diffractive neural network technology achieves high-fidelity optical transformations, overcoming previous design limitations.

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Area of Science:

  • Optics and Photonics
  • Diffractive Optics
  • Neural Network Applications

Background:

  • Multi-plane light converters (MPLCs), also known as diffractive neural networks, perform unitary transformations between optical field sets.
  • Traditional MPLC design relies on digital models, but performance degrades significantly due to mismatches with physical implementations.
  • Complexity in MPLC design leads to sensitivity to misalignments and aberrations.

Purpose of the Study:

  • To create a self-configuring MPLC that automatically compensates for physical imperfections.
  • To accelerate the convergence of MPLC design and improve performance fidelity.
  • To demonstrate the capability of arbitrary optical transformations and universal mode sorting.

Main Methods:

  • Introduction of 'multi-plane wavefront shaping' to simultaneously reshape multiple spatial light modes.
  • Development of a high-speed MPLC platform utilizing a kHz-rate phase-only light modulator.
  • Implementation of a self-configuring design approach that absorbs misalignments and aberrations.

Main Results:

  • Achieved self-configuration of MPLCs within minutes, automatically correcting for unknown aberrations and misalignments.
  • Demonstrated arbitrary optical transformations and universal mode sorters with ultra-high fidelity.
  • Significantly reduced performance degradation caused by mismatches between digital models and physical devices.

Conclusions:

  • The developed self-configuring MPLC technology overcomes critical limitations of previous designs.
  • Multi-plane wavefront shaping combined with high-speed modulation enables rapid and robust MPLC convergence.
  • This approach holds significant potential for advancing optical communications, photonic computing, and imaging technologies.