Metasurfaces in Adaptive Optics: A New Opportunity in Optical Wavefront Sensing
Rundong Fan, Zichao Wang, Pei Li, Lei Huang

TL;DR
This paper reviews how metasurfaces, with their microstructured design, are revolutionizing wavefront sensing in adaptive optics by enabling more precise, multi-dimensional control of light for applications like astronomy and microscopy.
Contribution
It introduces the potential of metasurface technology to transform wavefront sensing by providing a new theoretical framework and highlighting recent advancements.
Findings
Metasurfaces enable multi-dimensional control of light fields.
Recent research demonstrates improved wavefront sensing accuracy.
Potential applications include astronomy, microscopy, and laser engineering.
Abstract
Over the past fifty years, wavefront sensing technology has continuously evolved from basic techniques to high-precision systems, serving as a core methodology in adaptive optics (AO). Beyond traditional wavefront retrieval methods based on spot displacement, direct phase retrieval techniques with greater accuracy have emerged, jointly driving advancements in wavefront sensing precision. This evolution is fueled by increasing demands for accuracy, which have prompted iterative upgrades in system architectures and algorithms. Recently, breakthroughs in metasurface technology have opened new possibilities for wavefront sensing. By utilizing subwavelength microstructures, metasurfaces enable multi-dimensional control over the phase, amplitude, and polarization of light fields. Their high degree of design flexibility presents transformative opportunities for advancing wavefront sensing…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMetamaterials and Metasurfaces Applications · Random lasers and scattering media · Neural Networks and Reservoir Computing
