1Univ. of California, Los Angeles (United States) 2Ecole Polytechnique Fédérale de Lausanne (Switzerland) 3California NanoSystems Institute (United States) 4UCLA Samueli School of Engineering (United States) 5Peking Univ. (China)
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We present subwavelength imaging of amplitude- and phase-encoded objects based on a solid-immersion diffractive processor designed through deep learning. Subwavelength features from the objects are resolved by the collaboration between a jointly-optimized diffractive encoder and decoder pair. We experimentally demonstrated the subwavelength-imaging performance of solid immersion diffractive processors using terahertz radiation and achieved all-optical reconstruction of subwavelength phase features of objects (with linewidths of ~λ/3.4, where λ is the wavelength) by transforming them into magnified intensity images at the output field-of-view. Solid-immersion diffractive processors would provide cost-effective and compact solutions for applications in bioimaging, sensing, and material inspection, among others.
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