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Beating bandwidth limits for large aperture broadband nano-optics

Johannes E Fröch*, Praneeth Chakravarthula*, Jipeng Sun, Ethan Tseng, Shane Colburn, Alan Zhan, Forrest Miller, Anna Wirth-Singh, Quentin AA Tanguy, Zheyi Han, Karl F Böhringer, Felix Heide, Arka Majumdar

Nature Communications 2025

Paper
Beating bandwidth limits for large aperture broadband nano-optics

Abstract

This groundbreaking research presents novel approaches and methodologies in the field of visual computing and augmented intelligence. The work demonstrates significant advances in computational techniques while addressing real-world applications and challenges in the intersection of computer vision, machine learning, and human-computer interaction.

Key Contributions

  • Novel algorithmic approach that significantly improves performance metrics
  • Comprehensive evaluation on multiple benchmark datasets
  • Open-source implementation and reproducible results
  • Real-world applications and use cases demonstration