Wavelength division multiplexing technology has been pivotal in addressing the demand for high-capacity optical communication with silicon photonics providing a promising platform. This work presents a 16-channel wave...Wavelength division multiplexing technology has been pivotal in addressing the demand for high-capacity optical communication with silicon photonics providing a promising platform. This work presents a 16-channel wavelength division multiplexing silicon photonics receiver chip composed of an arrayed waveguide grating and Ge-on-Si photodetectors. Integrated inductors are introduced to enhance the high-speed performance of photodetectors, enabling data rates up to 112 Gbps with high responsivity and low dark current. The operating wavelength range of the arrayed wavelength grating is adjusted according to the response of the Ge-on-Si photodetector. The optical insertion loss, cross talk and central wavelength of the array waveguide grating are 2.1 to 3.7 d B,-12 to-15 d B, and 1538 nm, respectively. The proposed receiver chip offers a solution to meet the challenges of modern data transmission requirements.展开更多
Artificial intelligence(AI)has taken breathtaking leaps forward in recent years,evolving into a strategic technology for pioneering the future.The growing demand for computing power—especially in demanding inference ...Artificial intelligence(AI)has taken breathtaking leaps forward in recent years,evolving into a strategic technology for pioneering the future.The growing demand for computing power—especially in demanding inference tasks,exemplified by generative AI models such as ChatGPT—poses challenges for conventional electronic computing systems.Advances in photonics technology have ignited interest in investigating photonic computing as a promising AI computing modality.Through the profound fusion of AI and photonics technologies,intelligent photonics is developing as an emerging interdisciplinary field with significant potential to revolutionize practical applications.Deep learning,as a subset of AI,presents efficient avenues for optimizing photonic design,developing intelligent optical systems,and performing optical data processing and analysis.Employing AI in photonics can empower applications such as smartphone cameras,biomedical microscopy,and virtual and augmented reality displays.Conversely,leveraging photonics-based devices and systems for the physical implementation of neural networks enables high speed and low energy consumption.Applying photonics technology in AI computing is expected to have a transformative impact on diverse fields,including optical communications,automatic driving,and astronomical observation.Here,recent advances in intelligent photonics are presented from the perspective of the synergy between deep learning and metaphotonics,holography,and quantum photonics.This review also spotlights relevant applications and offers insights into challenges and prospects.展开更多
Silicon nitride photonics has emerged as a promising integrated optical platform due to its broad transparency window,low optical loss,and mature fabrication technology.However,the inherent centrosymmetric crystal str...Silicon nitride photonics has emerged as a promising integrated optical platform due to its broad transparency window,low optical loss,and mature fabrication technology.However,the inherent centrosymmetric crystal structure of silicon nitride fundamentally restricts its applications in second-order nonlinear optical processes.Monolayer transition metal dichalcogenides,particularly tungsten disulfide(WS_(2)),exhibit strong second-order nonlinear responses,making them ideal candidates for nonlinear photonic applications.Herein,we demonstrate a heterogeneously integrated platform combining silicon nitride waveguides with chemical vapor deposition(CVD)-grown monolayer WS_(2),enabling second harmonic generation.A specially designed silica cladding featuring gentle-slope profile on silicon nitride strip waveguides facilitates the integration of centimeter-scale WS_(2)film with photonic circuits.This approach provides a robust solution for incorporating second-order nonlinearity into silicon nitride photonic systems.The demonstrated platform holds significant potential for advancing quantum networks,visible-light lasers,and integrated optical modulation/detection systems.展开更多
Nanomaterials with promising optical,mechanical and electrical properties have garnered significant in-terest in photonics and electronics.However,the integration of nanomaterials with diverse characteristics for pote...Nanomaterials with promising optical,mechanical and electrical properties have garnered significant in-terest in photonics and electronics.However,the integration of nanomaterials with diverse characteristics for potential ultrafast photonics applications has emerged as a focal point.In this study,two-dimensional MXene(Ti_(3)C_(2)T_(x))and CuO nanoparticles were synthesized to create heterostructure materials.The surface morphology,chemical composition and nonlinear absorption properties of the heterostructure materials were investigated.First-principle-based theoretical calculations were performed to explore the electronic and optical properties of the Ti_(3)C_(2)T_(x)/CuO heterojunction,offering insights into its essential properties and supporting the potential optoelectronic applications.Importantly,the Ti_(3)C_(2)T_(x)/CuO heterojunction ef-fectively functioned as saturable absorbers in ultrafast lasers.Incorporating the Ti_(3)C_(2)T_(x)/CuO-based sat-urable absorber into a net-anomalous dispersion fiber cavity generated stable conventional-soliton pulses with duration of 495 fs.Additionally,adjusting cavity dispersion to net-normal allowed the Ti_(3)C_(2)T_(x)/CuO-based saturable absorber to generate dissipative soliton with a pulse width of 22 ps.The performance of Ti_(3)C_(2)T_(x)/CuO-based fiber lasers demonstrates enhancements over previous works.This study confirms that the Ti_(3)C_(2)T_(x)/CuO heterojunction is a promising nonlinear optical material for ultrafast applications and advanced MXene-based photonic devices.展开更多
We demonstrate a silicon nitride photonics-based imaging system that can perform one-dimensional interferometric imaging around the 1550-nm wavelength.The magnetograph using interferometric and computational imaging f...We demonstrate a silicon nitride photonics-based imaging system that can perform one-dimensional interferometric imaging around the 1550-nm wavelength.The magnetograph using interferometric and computational imaging for remote observations(MICRO)design uses silicon nitride on a Si platform to replace the bulky free-space optics of traditional magnetograph imaging systems with nanofabricated structures of a fraction of the size.The photonic integrated circuit(PIC)uses an array of lenslets that couple light into four input waveguides with spacing arranged along a Golomb ruler,where each aperture pair formed has a unique length.Each aperture is mixed with a 13-dBm reference laser and separated inside a 2×4 optical hybrid to generate in-phase and quadrature-phase signals to be detected in balanced detectors at the output of the PIC.We use a field programmable gate array(FPGA)board to digitize and process the measurements.The FPGAs and PIC are combined to reduce the overall size,weight,and power of the system,paving the way for a compact imaging system.We demonstrate a PIC-based imager design and experimental testbed for spectrometry applications.展开更多
Conjugated polymers(CPs)have emerged as an interesting class of materials in modern electronics and photonics,characterized by their unique delocalizedπ-electron systems that confer high flexibility,tunable electroni...Conjugated polymers(CPs)have emerged as an interesting class of materials in modern electronics and photonics,characterized by their unique delocalizedπ-electron systems that confer high flexibility,tunable electronic properties,and solution processability.These organic polymers present a compelling alternative to traditional inorganic semiconductors,offering the potential for a new generation of optoelectronic devices.This review explores the evolving role of CPs,exploring the molecular design strategies and innovative approaches that enhance their optoelectronic properties.We highlight notable progress toward developing faster,more efficient,and environmentally friendly devices by analyzing recent advancements in CP-based devices,including organic photovoltaics,field-effect transistors,and nonvolatile memories.The integration of CPs in flexible sustainable technologies underscores their potential to revolutionize future electronic and photonic systems.As ongoing research pushes the frontiers of molecular engineering and device architecture,CPs are poised to play an essential role in shaping next-generation technologies that prioritize performance,sustainability,and adaptability.展开更多
This special issue will include reviews,regular papers,and short communications,and reports in the fields for next generation electronics and photonics.The topics include but not restricted in advanced microelectronic...This special issue will include reviews,regular papers,and short communications,and reports in the fields for next generation electronics and photonics.The topics include but not restricted in advanced microelectronic devices and materials,low-dimensional materials and novel nanodevice applications,flexible/wearable/implantable electronics,wide bandgap semiconductor materials and devices,photoelectronics,photonics,advanced display technologies,nanophotonics,integrated quantum photonics,photovoltaics,energy harvesting and self-powered wireless sensing,sensors,micro-actuators,MEMS,microfluidics,and bioMEMS,etc.展开更多
The bidirectional convergence of artificial intelligence and nanophotonics drives photonic technologies toward unprecedented levels of intelligence and efficiency,fundamentally reshaping their design paradigms and app...The bidirectional convergence of artificial intelligence and nanophotonics drives photonic technologies toward unprecedented levels of intelligence and efficiency,fundamentally reshaping their design paradigms and application boundaries.With its powerful data-driven and nonlinear optimization capabilities,artificial intelligence has become a powerful tool for optical design,enabling the inverse design of nanophotonics devices while accelerating the forward computation of electromagnetic responses.Conversely,nanophotonics provides a wave-based computational platform,giving rise to novel optical neural networks that achieve high-speed parallel computing and efficient information processing.This paper reviews the latest progress in the bidirectional field of artificial intelligence and nanophotonics,analyzes the basic principles of various applications from a universal perspective,comprehensively evaluates the advantages and limitations of different research methods,and makes a forwardlooking outlook on the bidirectional integration of artificial intelligence and nanophotonics,focusing on analyzing future development trends,potential applications,and challenges.The deep integration of artificial intelligence and nanophotonics is ushering in a new era for photonic technologies,offering unparalleled opportunities for fundamental research and industrial applications.展开更多
Novel thin films consisting of optical materials such as lithium niobate and barium titanate enable various high-performance integrated photonic devices.However,the nanofabrication of these devices requires high-quali...Novel thin films consisting of optical materials such as lithium niobate and barium titanate enable various high-performance integrated photonic devices.However,the nanofabrication of these devices requires high-quality etching of these thin films,necessitating the long-term development of the fabrication recipe and specialized equipment.Here we present a strong-confinement low-index-rib-loaded waveguide structure as the building block of various passive and active integrated photonic devices based on novel thin films.By optimizing this low-index-rib-loaded waveguide structure without etching the novel thin film,we can simultaneously realize strong optical power confinement in the thin film,low optical propagation loss,and strong electro-optic coupling for the fundamental transverse electric mode.Based on our low-index-rib-loaded waveguide structure,we designed and fabricated a thin film lithium niobate(TFLN)modulator,featuring a 3-dB modulation bandwidth over 110 GHz and a voltage-length product as low as 2.26 V·cm,which is comparable to those of the state-of-the-art etched TFLN modulators.By alleviating the etching of novel thin films,the proposed structure opens up new ways of fast proof-of-concept demonstration and even mass production of high-performance integrated electro-optic and nonlinear devices based on novel thin films.展开更多
An alternative elliptical and circle air-hole-assisted Al_(0.24)Ga_(0.76)As photonic crystal fiber(PCF)was proposed for generating broadband high-coherence mid-infrared supercontinuum,and the dispersion,effect-ive mod...An alternative elliptical and circle air-hole-assisted Al_(0.24)Ga_(0.76)As photonic crystal fiber(PCF)was proposed for generating broadband high-coherence mid-infrared supercontinuum,and the dispersion,effect-ive mode area and nonlinear coefficient were investigated by using finite element method(FEM),the evolu-tion of optical pulses propagating along the fiber was simulated,and the supercontinuum and the coherence were analyzed and evaluated under different pumping conditions.The results show that a supercontinuum spectrum with a spectral width of 4.852μm can be obtained in the proposed fiber with d_(1)/Λof 0.125,d_(2)/Λof 0.583 and the zero-dispersion wavelength of 3.228μm by pumping with a Gaussian pulse with a peak power of 800 W and a full width at half maximum(FWHM)of 20 fs at wavelength of 3.3μm.When the fiber is pumped by the pulse with the peak power of 2000 W,the FWHM of 80 fs at the wavelength of 4.0μm in the in the anomalous dispersion region,the modulation instability is obviously suppressed,and the high-coher-ence supercontinuum spectrum spanning from 1.1μm to 8.99μm is observed.A part of the pulse energy is transferred to the anomalous dispersion region when pumped at the wavelength of 2.8μm in the normal dis-persion region and a broadband high-coherence supercontinuum spectrum extending from 0.8μm to 9.8μm is generated in the 10 mm proposed fiber.This paper introduces elliptical air holes in the Al_(0.24)Ga_(0.76)As photonic crystal fiber,which enhances flexibility for tailoring the performance of supercontinuum,ultimately achieving the broadest supercontinuum spectrum with the shortest fiber length to date.展开更多
磁共振无线电能传输(wireless power transfer, WPT)技术是近年来近场调控的研究重点之一,其在移动电话、植入式医疗设备以及电动汽车等诸多方面都具有重要的应用价值.对于复杂传能通道需求(例如机械臂等),通常需要引入中继线圈构造多...磁共振无线电能传输(wireless power transfer, WPT)技术是近年来近场调控的研究重点之一,其在移动电话、植入式医疗设备以及电动汽车等诸多方面都具有重要的应用价值.对于复杂传能通道需求(例如机械臂等),通常需要引入中继线圈构造多米诺耦合阵列.然而,传统的多米诺耦合阵列存在明显的局限性:近场耦合导致的多重频率劈裂,使得系统无法保持固定的工作频率;耦合阵列易受到构造误差及参数扰动影响;目前研究多数集中在单负载传输,多负载传输系统仍然亟待开发;能量传输方向难以灵活控制.近年来,光子人工微结构为拓扑物理提供了良好的研究平台,使得拓扑特性得到了广泛的研究.拓扑结构的最显著特征是具有非零的拓扑不变量以及由体边对应确定的鲁棒性边界态,这一天然特性能够免疫制造缺陷和无序扰动.不仅如此,通过调整拓扑态的波函数分布能够使能量精准局域,从而实现定向的WPT.因此,将拓扑模式用于耦合阵列WPT具有重要的科学意义.本文主要阐明了基于宇称-时间(parity-time, PT)对称的通用型双线圈和三线圈WPT的基本原理,并且介绍了不同拓扑构型下的多米诺线圈阵列能够实现鲁棒的WPT,包括一维周期性模型(SSH链组成的有效二阶PT对称和有效三阶PT对称系统)、一维非周期性模型(拓扑缺陷态、类SSH链、准周期Harper链)以及高阶拓扑模型,最后对拓扑模式在WPT的应用方向进行了展望.展开更多
传统THz器件长期受限于衍射极限导致的辐射损耗,其品质因子(Q因子)普遍低于10~5,严重制约了通信与传感性能。针对这一技术瓶颈,本研究基于拓扑光子学理论,设计了一种具有C6v对称性的硅基超表面,在THz频段实现了拓扑保护的高Q因子谐振。...传统THz器件长期受限于衍射极限导致的辐射损耗,其品质因子(Q因子)普遍低于10~5,严重制约了通信与传感性能。针对这一技术瓶颈,本研究基于拓扑光子学理论,设计了一种具有C6v对称性的硅基超表面,在THz频段实现了拓扑保护的高Q因子谐振。通过构建三角形晶格光子晶体平板,在晶胞内引入圆柱型蚀刻孔实现对称性保护,并采用理想磁导体边界条件分离TE模式,将连续域束缚态(bound states in the continuum,BIC)的拓扑保护机制引入THz频段。结果显示,Γ点处Q因子达到1010量级,且BIC位于远场辐射的偏振涡旋中心,验证了BIC机制及其拓扑特性,仿真结果良好。最终实现的Q因子较传统器件提升了多个数量级,且拓扑保护机制可以显著抑制加工缺陷与环境扰动对谐振性能的影响,为低损耗通信器件、光学可编程技术与量子光源设计提供了新范式。展开更多
Photonic neural networks(PNNs)of sufficiently large physical dimensions and high operation accuracies are envisaged as ideal candidates for breaking the major bottlenecks in the current artificial intelligence archite...Photonic neural networks(PNNs)of sufficiently large physical dimensions and high operation accuracies are envisaged as ideal candidates for breaking the major bottlenecks in the current artificial intelligence architectures in terms of latency,energy efficiency,and computational power.To achieve this vision,it is of vital importance to scale up the PNNs while simultaneously reducing the high demand on the dimensions required by them.The underlying cause of this strategy is the enormous gap between the scales of photonic and electronic integrated circuits.Here,we demonstrate monolithically integrated optical convolutional processors on thin film lithium niobate(TFLN)that harness inherent parallelism in photonics to enable large-scale programmable convolution kernels and,in turn,greatly reduce the dimensions required by subsequent fully connected layers.Experimental validation achieves high classification accuracies of 96%(86%)on the MNIST(Fashion-MNIST)dataset and 84.6%on the AG News dataset while dramatically reducing the required subsequent fully connected layer dimensions to 196×10(from 784×10)and 175×4(from 800×4),respectively.Furthermore,our devices can be driven by commercial field-programmable gate array systems;a unique advantage in addition to their scalable channel number and kernel size.Our architecture provides a solution to build practical machine learning photonic devices.展开更多
基金National Key Research and Development Program of China (2022YFB2802400)National Natural Science Foundation of China (62250010, 62090054, 62274160)Youth Innovation Promotion Association of the Chinese Academy of Sciences (2021111)。
文摘Wavelength division multiplexing technology has been pivotal in addressing the demand for high-capacity optical communication with silicon photonics providing a promising platform. This work presents a 16-channel wavelength division multiplexing silicon photonics receiver chip composed of an arrayed waveguide grating and Ge-on-Si photodetectors. Integrated inductors are introduced to enhance the high-speed performance of photodetectors, enabling data rates up to 112 Gbps with high responsivity and low dark current. The operating wavelength range of the arrayed wavelength grating is adjusted according to the response of the Ge-on-Si photodetector. The optical insertion loss, cross talk and central wavelength of the array waveguide grating are 2.1 to 3.7 d B,-12 to-15 d B, and 1538 nm, respectively. The proposed receiver chip offers a solution to meet the challenges of modern data transmission requirements.
基金supported by the National Natural Science Foundation of China(62035003 and 62235009).
文摘Artificial intelligence(AI)has taken breathtaking leaps forward in recent years,evolving into a strategic technology for pioneering the future.The growing demand for computing power—especially in demanding inference tasks,exemplified by generative AI models such as ChatGPT—poses challenges for conventional electronic computing systems.Advances in photonics technology have ignited interest in investigating photonic computing as a promising AI computing modality.Through the profound fusion of AI and photonics technologies,intelligent photonics is developing as an emerging interdisciplinary field with significant potential to revolutionize practical applications.Deep learning,as a subset of AI,presents efficient avenues for optimizing photonic design,developing intelligent optical systems,and performing optical data processing and analysis.Employing AI in photonics can empower applications such as smartphone cameras,biomedical microscopy,and virtual and augmented reality displays.Conversely,leveraging photonics-based devices and systems for the physical implementation of neural networks enables high speed and low energy consumption.Applying photonics technology in AI computing is expected to have a transformative impact on diverse fields,including optical communications,automatic driving,and astronomical observation.Here,recent advances in intelligent photonics are presented from the perspective of the synergy between deep learning and metaphotonics,holography,and quantum photonics.This review also spotlights relevant applications and offers insights into challenges and prospects.
基金Project supported by the National Innovative Training Program for College Students of China(Grant No.2023069)the University Research and Innovation Project of the National University of Defense Technology。
文摘Silicon nitride photonics has emerged as a promising integrated optical platform due to its broad transparency window,low optical loss,and mature fabrication technology.However,the inherent centrosymmetric crystal structure of silicon nitride fundamentally restricts its applications in second-order nonlinear optical processes.Monolayer transition metal dichalcogenides,particularly tungsten disulfide(WS_(2)),exhibit strong second-order nonlinear responses,making them ideal candidates for nonlinear photonic applications.Herein,we demonstrate a heterogeneously integrated platform combining silicon nitride waveguides with chemical vapor deposition(CVD)-grown monolayer WS_(2),enabling second harmonic generation.A specially designed silica cladding featuring gentle-slope profile on silicon nitride strip waveguides facilitates the integration of centimeter-scale WS_(2)film with photonic circuits.This approach provides a robust solution for incorporating second-order nonlinearity into silicon nitride photonic systems.The demonstrated platform holds significant potential for advancing quantum networks,visible-light lasers,and integrated optical modulation/detection systems.
基金supported by the National Key R&D Program of China(No.2022YFB4601101)the National Natural Science Foundation of China(No.12075190)+3 种基金the China Postdoctoral Science Foundation(No.2023M741781)the Key Industry Innovation Chain Project of Shaanxi Province(No.2022ZDLSF04-09)the Shaanxi Province Medical Technology Integration High-end Medical Equipment Common Technology Research and Development Plat-form(No.2023GXJS-01)the Shaanxi Fundamental Science Research Project for Mathematics and Physics(No.23JSY019).
文摘Nanomaterials with promising optical,mechanical and electrical properties have garnered significant in-terest in photonics and electronics.However,the integration of nanomaterials with diverse characteristics for potential ultrafast photonics applications has emerged as a focal point.In this study,two-dimensional MXene(Ti_(3)C_(2)T_(x))and CuO nanoparticles were synthesized to create heterostructure materials.The surface morphology,chemical composition and nonlinear absorption properties of the heterostructure materials were investigated.First-principle-based theoretical calculations were performed to explore the electronic and optical properties of the Ti_(3)C_(2)T_(x)/CuO heterojunction,offering insights into its essential properties and supporting the potential optoelectronic applications.Importantly,the Ti_(3)C_(2)T_(x)/CuO heterojunction ef-fectively functioned as saturable absorbers in ultrafast lasers.Incorporating the Ti_(3)C_(2)T_(x)/CuO-based sat-urable absorber into a net-anomalous dispersion fiber cavity generated stable conventional-soliton pulses with duration of 495 fs.Additionally,adjusting cavity dispersion to net-normal allowed the Ti_(3)C_(2)T_(x)/CuO-based saturable absorber to generate dissipative soliton with a pulse width of 22 ps.The performance of Ti_(3)C_(2)T_(x)/CuO-based fiber lasers demonstrates enhancements over previous works.This study confirms that the Ti_(3)C_(2)T_(x)/CuO heterojunction is a promising nonlinear optical material for ultrafast applications and advanced MXene-based photonic devices.
基金supported by the National Aeronautics and Space Administration(Grant No.80NSSC20K0914)the Lockheed Martin Internal Research Funds(IRAD).
文摘We demonstrate a silicon nitride photonics-based imaging system that can perform one-dimensional interferometric imaging around the 1550-nm wavelength.The magnetograph using interferometric and computational imaging for remote observations(MICRO)design uses silicon nitride on a Si platform to replace the bulky free-space optics of traditional magnetograph imaging systems with nanofabricated structures of a fraction of the size.The photonic integrated circuit(PIC)uses an array of lenslets that couple light into four input waveguides with spacing arranged along a Golomb ruler,where each aperture pair formed has a unique length.Each aperture is mixed with a 13-dBm reference laser and separated inside a 2×4 optical hybrid to generate in-phase and quadrature-phase signals to be detected in balanced detectors at the output of the PIC.We use a field programmable gate array(FPGA)board to digitize and process the measurements.The FPGAs and PIC are combined to reduce the overall size,weight,and power of the system,paving the way for a compact imaging system.We demonstrate a PIC-based imager design and experimental testbed for spectrometry applications.
基金Khalifa University,Abu Dhabi,for the generous support of this researchthe financial support from the Khalifa University Research&Innovation Grant(RIG-2023-005)。
文摘Conjugated polymers(CPs)have emerged as an interesting class of materials in modern electronics and photonics,characterized by their unique delocalizedπ-electron systems that confer high flexibility,tunable electronic properties,and solution processability.These organic polymers present a compelling alternative to traditional inorganic semiconductors,offering the potential for a new generation of optoelectronic devices.This review explores the evolving role of CPs,exploring the molecular design strategies and innovative approaches that enhance their optoelectronic properties.We highlight notable progress toward developing faster,more efficient,and environmentally friendly devices by analyzing recent advancements in CP-based devices,including organic photovoltaics,field-effect transistors,and nonvolatile memories.The integration of CPs in flexible sustainable technologies underscores their potential to revolutionize future electronic and photonic systems.As ongoing research pushes the frontiers of molecular engineering and device architecture,CPs are poised to play an essential role in shaping next-generation technologies that prioritize performance,sustainability,and adaptability.
文摘This special issue will include reviews,regular papers,and short communications,and reports in the fields for next generation electronics and photonics.The topics include but not restricted in advanced microelectronic devices and materials,low-dimensional materials and novel nanodevice applications,flexible/wearable/implantable electronics,wide bandgap semiconductor materials and devices,photoelectronics,photonics,advanced display technologies,nanophotonics,integrated quantum photonics,photovoltaics,energy harvesting and self-powered wireless sensing,sensors,micro-actuators,MEMS,microfluidics,and bioMEMS,etc.
基金supported by the National Key R&D Program of China(Grant No.2024YFB3614600)the National Natural Science Foundation of China(Grant No.52402185)+1 种基金Guangzhou Basic and Applied Basic Research Foundation(Grant No.2025A1515011800)Shenzhen Science and Technology Program(Grant No.JCYJ20241202123712017)。
文摘The bidirectional convergence of artificial intelligence and nanophotonics drives photonic technologies toward unprecedented levels of intelligence and efficiency,fundamentally reshaping their design paradigms and application boundaries.With its powerful data-driven and nonlinear optimization capabilities,artificial intelligence has become a powerful tool for optical design,enabling the inverse design of nanophotonics devices while accelerating the forward computation of electromagnetic responses.Conversely,nanophotonics provides a wave-based computational platform,giving rise to novel optical neural networks that achieve high-speed parallel computing and efficient information processing.This paper reviews the latest progress in the bidirectional field of artificial intelligence and nanophotonics,analyzes the basic principles of various applications from a universal perspective,comprehensively evaluates the advantages and limitations of different research methods,and makes a forwardlooking outlook on the bidirectional integration of artificial intelligence and nanophotonics,focusing on analyzing future development trends,potential applications,and challenges.The deep integration of artificial intelligence and nanophotonics is ushering in a new era for photonic technologies,offering unparalleled opportunities for fundamental research and industrial applications.
基金financial supports from National Key Research and Development Program of China (2021YFA1401000)National Natural Science Foundation of China (62435009)+2 种基金Beijing Municipal Natural Science Foundation (Z220008)Zhuhai Industry University Research Collaboration Project (ZH-2201700121010)supported by the Center of High Performance Computing,Tsinghua University
文摘Novel thin films consisting of optical materials such as lithium niobate and barium titanate enable various high-performance integrated photonic devices.However,the nanofabrication of these devices requires high-quality etching of these thin films,necessitating the long-term development of the fabrication recipe and specialized equipment.Here we present a strong-confinement low-index-rib-loaded waveguide structure as the building block of various passive and active integrated photonic devices based on novel thin films.By optimizing this low-index-rib-loaded waveguide structure without etching the novel thin film,we can simultaneously realize strong optical power confinement in the thin film,low optical propagation loss,and strong electro-optic coupling for the fundamental transverse electric mode.Based on our low-index-rib-loaded waveguide structure,we designed and fabricated a thin film lithium niobate(TFLN)modulator,featuring a 3-dB modulation bandwidth over 110 GHz and a voltage-length product as low as 2.26 V·cm,which is comparable to those of the state-of-the-art etched TFLN modulators.By alleviating the etching of novel thin films,the proposed structure opens up new ways of fast proof-of-concept demonstration and even mass production of high-performance integrated electro-optic and nonlinear devices based on novel thin films.
文摘An alternative elliptical and circle air-hole-assisted Al_(0.24)Ga_(0.76)As photonic crystal fiber(PCF)was proposed for generating broadband high-coherence mid-infrared supercontinuum,and the dispersion,effect-ive mode area and nonlinear coefficient were investigated by using finite element method(FEM),the evolu-tion of optical pulses propagating along the fiber was simulated,and the supercontinuum and the coherence were analyzed and evaluated under different pumping conditions.The results show that a supercontinuum spectrum with a spectral width of 4.852μm can be obtained in the proposed fiber with d_(1)/Λof 0.125,d_(2)/Λof 0.583 and the zero-dispersion wavelength of 3.228μm by pumping with a Gaussian pulse with a peak power of 800 W and a full width at half maximum(FWHM)of 20 fs at wavelength of 3.3μm.When the fiber is pumped by the pulse with the peak power of 2000 W,the FWHM of 80 fs at the wavelength of 4.0μm in the in the anomalous dispersion region,the modulation instability is obviously suppressed,and the high-coher-ence supercontinuum spectrum spanning from 1.1μm to 8.99μm is observed.A part of the pulse energy is transferred to the anomalous dispersion region when pumped at the wavelength of 2.8μm in the normal dis-persion region and a broadband high-coherence supercontinuum spectrum extending from 0.8μm to 9.8μm is generated in the 10 mm proposed fiber.This paper introduces elliptical air holes in the Al_(0.24)Ga_(0.76)As photonic crystal fiber,which enhances flexibility for tailoring the performance of supercontinuum,ultimately achieving the broadest supercontinuum spectrum with the shortest fiber length to date.
文摘磁共振无线电能传输(wireless power transfer, WPT)技术是近年来近场调控的研究重点之一,其在移动电话、植入式医疗设备以及电动汽车等诸多方面都具有重要的应用价值.对于复杂传能通道需求(例如机械臂等),通常需要引入中继线圈构造多米诺耦合阵列.然而,传统的多米诺耦合阵列存在明显的局限性:近场耦合导致的多重频率劈裂,使得系统无法保持固定的工作频率;耦合阵列易受到构造误差及参数扰动影响;目前研究多数集中在单负载传输,多负载传输系统仍然亟待开发;能量传输方向难以灵活控制.近年来,光子人工微结构为拓扑物理提供了良好的研究平台,使得拓扑特性得到了广泛的研究.拓扑结构的最显著特征是具有非零的拓扑不变量以及由体边对应确定的鲁棒性边界态,这一天然特性能够免疫制造缺陷和无序扰动.不仅如此,通过调整拓扑态的波函数分布能够使能量精准局域,从而实现定向的WPT.因此,将拓扑模式用于耦合阵列WPT具有重要的科学意义.本文主要阐明了基于宇称-时间(parity-time, PT)对称的通用型双线圈和三线圈WPT的基本原理,并且介绍了不同拓扑构型下的多米诺线圈阵列能够实现鲁棒的WPT,包括一维周期性模型(SSH链组成的有效二阶PT对称和有效三阶PT对称系统)、一维非周期性模型(拓扑缺陷态、类SSH链、准周期Harper链)以及高阶拓扑模型,最后对拓扑模式在WPT的应用方向进行了展望.
文摘传统THz器件长期受限于衍射极限导致的辐射损耗,其品质因子(Q因子)普遍低于10~5,严重制约了通信与传感性能。针对这一技术瓶颈,本研究基于拓扑光子学理论,设计了一种具有C6v对称性的硅基超表面,在THz频段实现了拓扑保护的高Q因子谐振。通过构建三角形晶格光子晶体平板,在晶胞内引入圆柱型蚀刻孔实现对称性保护,并采用理想磁导体边界条件分离TE模式,将连续域束缚态(bound states in the continuum,BIC)的拓扑保护机制引入THz频段。结果显示,Γ点处Q因子达到1010量级,且BIC位于远场辐射的偏振涡旋中心,验证了BIC机制及其拓扑特性,仿真结果良好。最终实现的Q因子较传统器件提升了多个数量级,且拓扑保护机制可以显著抑制加工缺陷与环境扰动对谐振性能的影响,为低损耗通信器件、光学可编程技术与量子光源设计提供了新范式。
基金supported by the National Natural Science Foundation of China (Grant Nos.12192251,12334014,62335019,12134001,1230441812474378)+1 种基金the Quantum Science and Technology National Science and Technology Major Project(Grant No.2021ZD0301403)the Shanghai Municipal Science and Technology Major Project (Grant No.2019SHZDZX01)。
文摘Photonic neural networks(PNNs)of sufficiently large physical dimensions and high operation accuracies are envisaged as ideal candidates for breaking the major bottlenecks in the current artificial intelligence architectures in terms of latency,energy efficiency,and computational power.To achieve this vision,it is of vital importance to scale up the PNNs while simultaneously reducing the high demand on the dimensions required by them.The underlying cause of this strategy is the enormous gap between the scales of photonic and electronic integrated circuits.Here,we demonstrate monolithically integrated optical convolutional processors on thin film lithium niobate(TFLN)that harness inherent parallelism in photonics to enable large-scale programmable convolution kernels and,in turn,greatly reduce the dimensions required by subsequent fully connected layers.Experimental validation achieves high classification accuracies of 96%(86%)on the MNIST(Fashion-MNIST)dataset and 84.6%on the AG News dataset while dramatically reducing the required subsequent fully connected layer dimensions to 196×10(from 784×10)and 175×4(from 800×4),respectively.Furthermore,our devices can be driven by commercial field-programmable gate array systems;a unique advantage in addition to their scalable channel number and kernel size.Our architecture provides a solution to build practical machine learning photonic devices.
