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Intelligent infrared sensing enabled by moiré quantum geometry

ORAL

Abstract

Moiré quantum materials exhibit large bulk photovoltaic effects in the infrared regime due to their quantum geometric properties. The photoresponses are closely related to the polarization states, power and frequency of the incident light. By leveraging the gate tunability of the materials, a large number of photovoltage maps with the properties of light encoded can be generated. These maps can be used to train a convolutional neural network to decode simultaneously the properties of an unknown incident light, enabling an unprecedented intelligent light sensing technology in an extremely compact, on-chip manner.

Publication: [1] Ma et al., Intelligent infrared sensing enabled by tunable moiré quantum geometry. Nature 604, 266–272 (2022).<br>[2] Yuan et al., Geometric deep optical sensing. Science 379, eade1220 (2023).

Presenters

  • Patrick Cheung

    The University of Texas at Dallas

Authors

  • Patrick Cheung

    The University of Texas at Dallas

  • Fan Zhang

    The University of Texas at Dallas