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Overcoming losses in superlenses with synthetic waves of complex frequency

Fuxin Guan, Xiangdong Guo, Kebo Zeng, Shu Zhang, Shu Zhang, Zhaoyu Nie, Shaojie Ma, Qing Dai, John Pendry, Xiang Zhang, Shuang Zhang, Shuang Zhang

2023Science98 citationsDOI

Abstract

Superlenses made of plasmonic materials and metamaterials can image features at the subdiffraction scale. However, intrinsic losses impose a serious restriction on imaging resolution, a problem that has hindered widespread applications of superlenses. Optical waves of complex frequency that exhibit a temporally attenuating behavior have been proposed to offset the intrinsic losses in superlenses through the introduction of virtual gain, but experimental realization has been lacking because of the difficulty of imaging measurements with temporal decay. In this work, we present a multifrequency approach to constructing synthetic excitation waves of complex frequency based on measurements at real frequencies. This approach allows us to implement virtual gain experimentally and observe deep-subwavelength images. Our work offers a practical solution to overcome the intrinsic losses of plasmonic systems for imaging and sensing applications.

Topics & Concepts

MetamaterialPlasmonOffset (computer science)Realization (probability)Computer scienceOpticsExcitationPhysicsAcousticsStatisticsProgramming languageQuantum mechanicsMathematicsMetamaterials and Metasurfaces ApplicationsOrbital Angular Momentum in OpticsPlasmonic and Surface Plasmon Research
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