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光:科学与应用(英文版)
中国科学院长春光学精密机械与物理研究所
光:科学与应用(英文版)

中国科学院长春光学精密机械与物理研究所

双月

2095-5545

light_lsa@ciomp.ac.cn

0431-86176851

130033

吉林省长春市东南湖大路3888号 中国科学院长春光学精密机械与物理研究所

光:科学与应用(英文版)/Journal Light:Science & ApplicationsCSCDCSTPCD北大核心EISCI
查看更多>>《Light: Science & Applications》(《光:科学与应用》)是由中国科学院长春光学精密机械与物理研究所与中国光学学会共同主办,与自然出版集团(现更名为Springer Nature)合作出版的全英文开放获取(OA)国际学术期刊。该刊于2012年3月29日创刊,2013年10月先后被国际著名检索系统SCI及全球最大文摘引文数据库Scopus收录,最新影响引子14.098,连续3年位于SCI收录的光学期刊影响因子榜前3位。该刊是自然出版集团在中国出版的第一本OA物理类期刊,致力于推动全球范围内的光学研究,刊载光学领域基础、应用基础以及工程技术研究及应用方面的高水平的最新研究成果,包括小尺度光学、特种光学、光学材料及处理、光学元件制备、光学数据传输、光学测量、光学在生命科学及环境科学等领域的应用等方面的高质量、高影响力的原创性学术论文、News & Views、快报、展望和综述文章。
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    Electrically tunable third-harmonic generation using intersubband polaritonic metasurfaces

    Seongjin ParkJaeyeon YuGerhard BoehmMikhail A.Belkin...
    1666-1674页
    查看更多>>摘要:Nonlinear intersubband polaritonic metasurfaces,which integrate giant nonlinear responses derived from intersubband transitions of multiple quantum wells(MQWs)with plasmonic nanoresonators,not only facilitate efficient frequency conversion at pump intensities on the order of few tens of kW cm-2 but also enable electrical modulation of nonlinear responses at the individual meta-atom level and dynamic beam manipulation.The electrical modulation characteristics of the magnitude and phase of the nonlinear optical response are realized through Stark tuning of the resonant intersubband nonlinearity.In this study,we report,for the first time,experimental implementations of electrical modulation characteristics of mid-infrared third-harmonic generation(THG)using an intersubband polaritonic metasurface based on MQW with electrically tunable third-order nonlinear response.Experimentally,we achieved a 450%modulation depth of the THG signal,86%suppression of zero-order THG diffraction tuning based on local phase tuning exceeding 180 degrees,and THG beam steering using phase gradients.Our work proposes a new route for electrically tunable flat nonlinear optical elements with versatile functionalities.

    Nonlinear encoding in diffractive information processing using linear optical materials

    Yuhang LiJingxi LiAydogan Ozcan
    1675-1688页
    查看更多>>摘要:Nonlinear encoding of optical information can be achieved using various forms of data representation.Here,we analyze the performances of different nonlinear information encoding strategies that can be employed in diffractive optical processors based on linear materials and shed light on their utility and performance gaps compared to the state-of-the-art digital deep neural networks.For a comprehensive evaluation,we used different datasets to compare the statistical inference performance of simpler-to-implement nonlinear encoding strategies that involve,e.g.,phase encoding,against data repetition-based nonlinear encoding strategies.We show that data repetition within a diffractive volume(e.g.,through an optical cavity or cascaded introduction of the input data)causes the loss of the universal linear transformation capability of a diffractive optical processor.Therefore,data repetition-based diffractive blocks cannot provide optical analogs to fully connected or convolutional layers commonly employed in digital neural networks.However,they can still be effectively trained for specific inference tasks and achieve enhanced accuracy,benefiting from the nonlinear encoding of the input information.Our results also reveal that phase encoding of input information without data repetition provides a simpler nonlinear encoding strategy with comparable statistical inference accuracy to data repetition-based diffractive processors.Our analyses and conclusions would be of broad interest to explore the push-pull relationship between linear material-based diffractive optical systems and nonlinear encoding strategies in visual information processors.