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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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    Orbital angular momentum-mediated machine learning for high-accuracy mode-feature encoding

    Xinyuan FangXiaonan HuBaoli LiHang Su...
    466-477页
    查看更多>>摘要：Machine learning with optical neural networks has featured unique advantages of the information processing including high speed,ultrawide bandwidths and low energy consumption because the optical dimensions(time,space,wavelength,and polarization)could be utilized to increase the degree of freedom.However,due to the lack of the capability to extract the information features in the orbital angular momentum(OAM)domain,the theoretically unlimited OAM states have never been exploited to represent the signal of the input/output nodes in the neural network model.Here,we demonstrate OAM-mediated machine learning with an all-optical convolutional neural network(CNN)based on Laguerre-Gaussian(LG)beam modes with diverse diffraction losses.The proposed CNN architecture is composed of a trainable OAM mode-dispersion impulse as a convolutional kernel for feature extraction,and deep-learning diffractive layers as a classifier.The resultant OAM mode-dispersion selectivity can be applied in information mode-feature encoding,leading to an accuracy as high as 97.2％for MNIST database through detecting the energy weighting coefficients of the encoded OAM modes,as well as a resistance to eavesdropping in point-to-point free-space transmission.Moreover,through extending the target encoded modes into multiplexed OAM states,we realize all-optical dimension reduction for anomaly detection with an accuracy of 85％.Our work provides a deep insight to the mechanism of machine learning with spatial modes basis,which can be further utilized to improve the performances of various machine-vision tasks by constructing the unsupervised learning-based auto-encoder.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Analog spatiotemporal feature extraction for cognitive radio-frequency sensing with integrated photonics

    Shaofu XuBinshuo LiuSicheng YiJing Wang...
    478-487页
    查看更多>>摘要：Analog feature extraction(AFE)is an appealing strategy for low-latency and efficient cognitive sensing systems since key features are much sparser than the Nyquist-sampled data.However,applying AFE to broadband radio-frequency(RF)scenarios is challenging due to the bandwidth and programmability bottlenecks of analog electronic circuitry.Here,we introduce a photonics-based scheme that extracts spatiotemporal features from broadband RF signals in the analog domain.The feature extractor structure inspired by convolutional neural networks is implemented on integrated photonic circuits to process RF signals from multiple antennas,extracting valid features from both temporal and spatial dimensions.Because of the tunability of the photonic devices,the photonic spatiotemporal feature extractor is trainable,which enhances the validity of the extracted features.Moreover,a digital-analog-hybrid transfer learning method is proposed for the effective and low-cost training of the photonic feature extractor.To validate our scheme,we demonstrate a radar target recognition task with a 4-GHz instantaneous bandwidth.Experimental results indicate that the photonic analog feature extractor tackles broadband RF signals and reduces the sampling rate of analog-to-digital converters to 1/4 of the Nyquist sampling while maintaining a high target recognition accuracy of 97.5％.Our scheme offers a promising path for exploiting the AFE strategy in the realm of cognitive RF sensing,with the potential to contribute to the efficient signal processing involved in applications such as autonomous driving,robotics,and smart factories.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Liquid lens based holographic camera for real 3D scene hologram acquisition using end-to-end physical model-driven network

    Di WangZhao-Song LiYi ZhengYou-Ran Zhao...
    488-497页
    查看更多>>摘要：With the development of artificial intelligence,neural network provides unique opportunities for holography,such as high fidelity and dynamic calculation.How to obtain real 3D scene and generate high fidelity hologram in real time is an urgent problem.Here,we propose a liquid lens based holographic camera for real 3D scene hologram acquisition using an end-to-end physical model-driven network(EEPMD-Net).As the core component of the liquid camera,the first 10 mm large aperture electrowetting-based liquid lens is proposed by using specially fabricated solution.The design of the liquid camera ensures that the multi-layers of the real 3D scene can be obtained quickly and with great imaging performance.The EEPMD-Net takes the information of real 3D scene as the input,and uses two new structures of encoder and decoder networks to realize low-noise phase generation.By comparing the intensity information between the reconstructed image after depth fusion and the target scene,the composite loss function is constructed for phase optimization,and the high-fidelity training of hologram with true depth of the 3D scene is realized for the first time.The holographic camera achieves the high-fidelity and fast generation of the hologram of the real 3D scene,and the reconstructed experiment proves that the holographic image has the advantage of low noise.The proposed holographic camera is unique and can be used in 3D display,measurement,encryption and other fields.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Versatile photonic molecule switch in multimode microresonators

    Zihan TaoBitao ShenWencan LiLuwen Xing...
    498-509页
    查看更多>>摘要：Harnessing optical supermode interaction to construct artificial photonic molecules has uncovered a series of fundamental optical phenomena analogous to atomic physics.Previously,the distinct energy levels and interactions in such two-level systems were provided by coupled microresonators.The reconfigurability is limited,as they often require delicate external field stimuli or mechanically altering the geometric factors.These highly specific approaches also limit potential applications.Here,we propose a versatile on-chip photonic molecule in a multimode microring,utilizing a flexible regulation methodology to dynamically control the existence and interaction strength of spatial modes.The transition between single/multi-mode states enables the"switched-off/on"functionality of the photonic molecule,supporting wider generalized applications scenarios.In particular,"switched-on"state shows flexible and multidimensional mode splitting control in aspects of both coupling strength and phase difference,equivalent to the a.c.and d.c.Stark effect."Switched-off"state allows for perfect low-loss single-mode transition(Qi～10 million)under an ultra-compact bend size(FSR～115 GHz)in a foundry-based silicon microring.It breaks the stereotyped image of the FSR-Q factor trade-off,enabling ultra-wideband and high-resolution millimeter-wave photonic operations.Our demonstration provides a flexible and portable solution for the integrated photonic molecule system,extending its research scope from fundamental physics to real-world applications such as nonlinear optical signal processing and sixth-generation wireless communication.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Tunable VO2 cavity enables multispectral manipulation from visible to microwave frequencies

    Hang WeiJinxin GuTao ZhaoZhiyuan Yan...
    510-518页
    查看更多>>摘要：Optical materials capable of dynamically manipulating electromagnetic waves are an emerging field in memories,optical modulators,and thermal management.Recently,their multispectral design preliminarily attracts much attention,aiming to enhance their efficiency and integration of functionalities.However,the multispectral manipulation based on these materials is challenging due to their ubiquitous wavelength dependence restricting their capacity to narrow wavelengths.In this article,we cascade multiple tunable optical cavities with selective-transparent layers,enabling a universal approach to overcoming wavelength dependence and establishing a multispectral platform with highly integrated functions.Based on it,we demonstrate the multispectral(ranging from 400 nm to 3 cm),fast response speed(0.9 s),and reversible manipulation based on a typical phase change material,vanadium dioxide.Our platform involves tandem VO2-based Fabry-Pérot(F-P)cavities enabling the customization of optical responses at target bands independently.It can achieve broadband color-changing capacity in the visible region(a shift of～60 nm in resonant wavelength)and is capable of freely switching between three typical optical models(transmittance,reflectance,and absorptance)in the infrared to microwave regions with drastic amplitude tunability exceeding 0.7.This work represents a state-of-art advance in multispectral optics and material science,providing a critical approach for expanding the multispectral manipulation ability of optical systems.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Photonic neuromorphic architecture for tens-of-task lifelong learning

    Yuan ChengJianing ZhangTiankuang ZhouYuyan Wang...
    519-530页
    查看更多>>摘要：Scalable,high-capacity,and low-power computing architecture is the primary assurance for increasingly manifold and large-scale machine learning tasks.Traditional electronic artificial agents by conventional power-hungry processors have faced the issues of energy and scaling walls,hindering them from the sustainable performance improvement and iterative multi-task learning.Referring to another modality of light,photonic computing has been progressively applied in high-efficient neuromorphic systems.Here,we innovate a reconfigurable lifelong-learning optical neural network(L2ONN),for highly-integrated tens-of-task machine intelligence with elaborated algorithm-hardware co-design.Benefiting from the inherent sparsity and parallelism in massive photonic connections,L2ONN learns each single task by adaptively activating sparse photonic neuron connections in the coherent light field,while incrementally acquiring expertise on various tasks by gradually enlarging the activation.The multi-task optical features are parallelly processed by multi-spectrum representations allocated with different wavelengths.Extensive evaluations on free-space and on-chip architectures confirm that for the first time,L2ONN avoided the catastrophic forgetting issue of photonic computing,owning versatile skills on challenging tens-of-tasks(vision classification,voice recognition,medical diagnosis,etc.)with a single model.Particularly,L2ONN achieves more than an order of magnitude higher efficiency than the representative electronic artificial neural networks,and 14x larger capacity than existing optical neural networks while maintaining competitive performance on each individual task.The proposed photonic neuromorphic architecture points out a new form of lifelong learning scheme,permitting terminal/edge Al systems with light-speed efficiency and unprecedented scalability.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Light-controlled soft bio-microrobot

    Jianyun XiongXing LiZiyi HeYang Shi...
    531-543页
    查看更多>>摘要：Micro/nanorobots hold exciting prospects for biomedical and even clinical applications due to their small size and high controllability.However,it is still a big challenge to maneuver micro/nanorobots into narrow spaces with high deformability and adaptability to perform complicated biomedical tasks.Here,we report a light-controlled soft bio-microrobots(called"Ebot")based on Euglena gracilis that are capable of performing multiple tasks in narrow microenvironments including intestinal mucosa with high controllability,deformability and adaptability.The motion of the Ebot can be precisely navigated via light-controlled polygonal flagellum beating.Moreover,the Ebot shows highly controlled deformability with different light illumination duration,which allows it to pass through narrow and curved microchannels with high adaptability.With these features,Ebots are able to execute multiple tasks,such as targeted drug delivery,selective removal of diseased cells in intestinal mucosa,as well as photodynamic therapy.This light-controlled Ebot provides a new bio-microrobotic tool,with many new possibilities for biomedical task execution in narrow and complicated spaces where conventional tools are difficult to access due to the lack of deformability and bio-adaptability.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Opto-fluidically multiplexed assembly and micro-robotics

    Elena ErbenWeida LiaoAntonio MinopoliNicola Maghelli...
    544-554页
    查看更多>>摘要：Techniques for high-definition micromanipulations,such as optical tweezers,hold substantial interest across a wide range of disciplines.However,their applicability remains constrained by material properties and laser exposure.And while microfluidic manipulations have been suggested as an alternative,their inherent capabilities are limited and further hindered by practical challenges of implementation and control.Here we show that the iterative application of laser-induced,localized flow fields can be used for the relative positioning of multiple micro-particles,irrespectively of their material properties.Compared to the standing theoretical proposal,our method keeps particles mobile,and we show that their precision manipulation is non-linearly accelerated via the multiplexing of temperature stimuli below the heat diffusion limit.The resulting flow fields are topologically rich and mathematically predictable.They represent unprecedented microfluidic control capabilities that are illustrated by the actuation of humanoid micro-robots with up to 30 degrees of freedom,whose motions are sufficiently well-defined to reliably communicate personal characteristics such as gender,happiness and nervousness.Our results constitute high-definition micro-fluidic manipulations with transformative potential for assembly,micro-manufacturing,the life sciences,robotics and opto-hydraulically actuated micro-factories.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Multi-junction cascaded vertical-cavity surface-emitting laser with a high power conversion efficiency of 74％

    Yao XiaoJun WangHeng LiuPei Miao...
    555-565页
    查看更多>>摘要：High electro-optical conversion efficiency is one of the most distinctive features of semiconductor lasers as compared to other types of lasers.Its further increase remains a significant objective.Further enhancing the efficiency of edge-emitting lasers(EEL),which represent the highest efficiency among semiconductor lasers at present,is challenging.The efficiency of vertical cavity surface emitting lasers(VCSELs)has always been relatively low compared to EEL.This paper,combining modeling with experiments,demonstrates the potential of multi-junction cascaded VCSELs to achieve high efficiency beyond that of EELs,our simulations show,that a 20-junction VCSEL can achieve an efficiency of more than 88％ at room temperature.We fabricated VCSEL devices with different numbers of junctions and compared their energy efficiency.15-junction VCSELs achieved a maximum efficiency of 74％at room temperature under nanosecond driving current,the corresponding differential quantum efficiency exceeds 1100％,being the largest electro-optical conversion efficiency and differential quantum efficiency reported until now for VCSELs.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Hyper spectral resolution stimulated Raman spectroscopy with amplified fs pulse bursts

    Hongtao HuTobias Fl?ryVinzenz StummerAudrius Pugzlys...
    566-576页
    查看更多>>摘要：We present a novel approach for Stimulated Raman Scattering(SRS)spectroscopy in which a hyper spectral resolution and high-speed spectral acquisition are achieved by employing amplified offset-phase controlled fs-pulse bursts.We investigate the method by solving the coupled non-linear Schrödinger equations and validate it by numerically characterizing SRS in molecular nitrogen as a model compound.The spectral resolution of the method is found to be determined by the inverse product of the number of pulses in the burst and the intraburst pulse separation.The SRS spectrum is obtained through a motion-free scanning of the offset phase that results in a sweep of the Raman-shift frequency.Due to high spectral resolution and fast motion-free scanning the technique is beneficial for a number SRS-based applications such as gas sensing and chemical analysis.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据