Overcoming losses in superlenses with synthetic waves of complex frequency

Author:

Guan Fuxin1ORCID,Guo Xiangdong12,Zeng Kebo1ORCID,Zhang Shu2,Nie Zhaoyu3ORCID,Ma Shaojie1ORCID,Dai Qing2ORCID,Pendry John4ORCID,Zhang Xiang156ORCID,Zhang Shuang17ORCID

Affiliation:

1. New Cornerstone Science Laboratory, Department of Physics, University of Hong Kong, Hong Kong, China.

2. CAS Key Laboratory of Nanophotonic Materials and Devices, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China.

3. Department of Mechanical Engineering, University of California, Berkeley, CA 94720, USA.

4. The Blackett Laboratory, Department of Physics, Imperial College London, SW7 2AZ London, UK.

5. Faculty of Science, University of Hong Kong, Hong Kong, China.

6. Faculty of Engineering, University of Hong Kong, Hong Kong, China.

7. Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China.

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3