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Mapping Optical Lateral Forces on the Poincaré Sphere

ACS Photonics 2024年第8期11卷 3267-3275页

作者： Zhu, Yuchen Xiong, Sha Lai, Chengxing Wei, Zeyong Lu, Chengfeng He, Yujiang Song, Qinghua Wu, Pin Chieh Luo, Hong Wang, Zhanshan Xie, Lingyun Shi, Yuzhi Cheng, Xinbin Institute of Precision Optical Engineering School of Physics Science and Engineering Tongji University Shanghai200092 China MOE Key Laboratory of Advanced Micro-Structured Materials Shanghai200092 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China Shanghai Frontiers Science Center of Digital Optics Shanghai200092 China School of Automation Central South University Changsha410083 China Technology Innovation Center of Mass Spectrometry for State Market Regulation Center for Advanced Measurement Science National Institute of Metrology Beijing100029 China Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China Department of Photonics National Cheng Kung University Tainan70101 Taiwan

Optical lateral forces (OLFs) play progressively important roles in optical manipulation, finding numerous applications in enantioselective sorting and sensing. Probing OLFs on achiral particles is also essential in interpreting extraordinary light-matter interactions. Recent advances have shown that the OLF can emerge from the transverse Belinfante spin momentum (BSM) and get maximum values when the light is circularly polarized. Here, by searching the Poincaré sphere, we find that the optical gradient force and radiation pressure correlate strongly with the ellipticity and azimuthal angles on the Poincaré sphere, which may exceed the OLF in a focused line-shaped beam. Consequently, the total lateral force may reach its maximum under the elliptical polarization rather than the circular polarization. Meanwhile, the ellipticity angle corresponding to the maximum force varies significantly with the particle size and its refractive index. Our work unravels a novel and efficient way to harness optical forces in a full-polarization manner and provides a new playground for various biophysical applications. © 2024 American Chemical Society.

关键词： Refractive index

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Deep Neural Network Enhanced Chip-on-board Hybrid-Packaged Photonic-Electrical Silicon Transceiver for High-speed Optical Interconnects

Deep Neural Network Enhanced Chip-on-board Hybrid-Packaged P...

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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Qin, Jun Yang, Qipeng Han, Changhao Zhou, Yan Zhang, Yunhao Wu, Yichen Sun, Yu Lu, Junde Liu, Siming Li, Yueqin Sun, Jian Min, Miao Hu, Weiwei He, Zhixue Wang, Lei Yu, Shaohua Shu, Haowen Wang, Xingjun Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science and Technology University Beijing100192 China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing100871 China Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States Peking University Yangtze Delta Institute of Optoelectronics Nantong226010 China Peng Cheng Laboratory Shenzhen518055 China State Key Laboratory of Information Photonics and Optical Communications BUPT Beijing100876 China

We explore implementing a multilevel deep neural network to enhance the performance of a 4-channel photonic-electrical hybrid-packaged silicon transceiver. Stable transmission and reception of 150 Gbps/λ PAM4 signals... 详细信息

关键词： Optical interconnects

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Deep Neural Network Enhanced Chip-on-board Hybrid-Packaged Photonic-Electrical Silicon Transceiver for High-speed Optical Interconnects

Deep Neural Network Enhanced Chip-on-board Hybrid-Packaged P...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

ISBN: (纸本)9781957171395

关键词： Optical interconnects

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Harnessing Graphene Plasmons by Accessing the Retardation Regime

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ACS Applied Materials and Interfaces 2025年第22期17卷 32782-32789页

作者： Zhang, Jiasheng Xing, Qiaoxia Zhao, Tuoyu Wang, Shunjia Ma, Junwei Wang, Chong Wang, Jiajun Xie, Yuangang Huang, Shenyang Song, Chaoyu Wan, Quan Shi, Lei Tao, Zhensheng Shi, Wu Li, Xuesong Zhou, Lei Yan, Hugen State Key Laboratory of Surface Physics Key Laboratory of Micro- and Nano-Photonic Structures Ministry of Education Shanghai Key Laboratory of Metasurfaces for Light Manipulation Department of Physics Fudan University Shanghai 200433 China Inner Mongolia Key Laboratory of Microscale Physics and Atom Innovation School of Physical Science and Technology Inner Mongolia University Hohhot 010021 China State Key Laboratory of Surface Physics Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai 200433 China Zhangjiang Fudan International Innovation Center Fudan University Shanghai 201210 China Centre for Quantum Physics Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE) School of Physics Beijing Institute of Technology Beijing 100081 China Beijing Key Lab of Nanophotonics & Ultrafine Optoelectronic Systems School of Physics Beijing Institute of Technology Beijing 100081 China School of Integrated Circuit Science and Engineering Exemplary School of Microelectronics University of Electronic Science and Technology of China Chengdu 611731 China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen 518110 China

Plasmons in graphene are highly tunable, mainly by leveraging the carrier density and Drude scattering. Here, we introduce another scheme, i.e., accessing the retardation regime (originated from the finite speed of light), to engineer the lifetime and dispersion of plasmons in graphene in the terahertz regime. We find that the retardation regime can be approached by reducing plasmon momentum in artificially stacked multilayer graphene systems with large Drude weight, and this can significantly increase the plasmon lifetime. In addition, an explicit theoretical model along with finite-element simulation was given, consistent with the experimental findings. Our work opens another avenue to manipulate terahertz plasmons in graphene. © 2025 American Chemical Society.

关键词： Drude weight graphene plasmon retardation effects terahertz

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Wave functions in the critical phase: A planar Sierpiński fractal lattice

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Physical Review B 2024年第3期110卷 035403-035403页

作者： Qi Yao Xiaotian Yang Askar A. Iliasov Mikhail I. Katsnelson Shengjun Yuan Shenzhen 518045 China Institute of Quantum Precision Measurement State Key Laboratory of Radio Frequency Heterogeneous Integration College of Physics and Optoelectronic Engineering Key Laboratory of Artificial Micro- and Nano-structures of Ministry of Education and School of Physics and Technology Department of Physics Institute for Molecules and Materials Wuhan 430206 China

Electronic states play a crucial role in many quantum systems of moiré superlattices, quasicrystals, and fractals. As recently reported for Sierpiński lattices [Yao et al., Phys. Rev. B 107, 115424 (2023)], the critical states are revealed by the energy-level-correlation spectra, which are caused by the interplay between aperiodicity and determined self-similarity characters. In the case of the Sierpiński carpet, our results further demonstrate that there is some degree of spatial overlap between these electronic states. These states could be strongly affected by the “seed lattice” of the generator and slightly modulated by the dilation pattern and the geometrical self-similarity level. These electronic states are made multifractal by scaling the qth-order inverse participation ratio or fractal dimension, which correlates with the subdiffusion behavior. In the gene pattern, an average state-based multifractal dimension of second order would increase as its Hausdorff dimension increases. Our findings could potentially contribute to understanding quantum transports and single-particle quantum dynamics in fractals.

关键词： Fractals Two-dimensional electron system Scaling methods Tight-binding model

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Keyhole morphology monitoring in laser welding using optical coherence tomography

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Chinese Optics Letters 2025年第3期 50-56页

作者：谢冠明马炜鑫张跃强王三宏李由胡彪闫少华傅愉于起峰 Shenzhen Key Laboratory of Intelligent Optical Measurement and Detection Shenzhen University College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen Sincevision Technology Co. Ltd. National Key Laboratory of Human Factors Engineering China Astronaut Research and Training Center College of Aerospace Science and Engineering National University of Defense Technology

Optical coherence tomography(OCT) offers a direct and precise measurement of keyhole depth in laser welding, facilitating its application for quality assurance and control. Nevertheless, in high-speed welding, the keyhole lags behind the processing beam, leading to a reduction in OCT measurement accuracy. In this paper, OCT is utilized to monitor keyhole morphology by employing a scanner to deflect the measuring beam and the keyhole lag is quantitatively analyzed. Bead-on-plate welds were conducted on stainless steel and aluminum alloys at varying welding speeds. Real-time OCT data collection was performed and reconstructed to generate keyhole morphology. The aluminum alloy exhibited fluctuating keyhole morphology and irregular seam surfaces. The determination of the keyhole lag was based on the longitudinal view of keyhole morphology. Results indicated a proportional increase in keyhole lag with welding speed, and this trend was consistent for both materials.

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Recovering optimal precision in quantum sensing using imperfect control

arXiv

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arXiv 2024年

作者： Li, Zi-Shen Long, Xinyue Yang, Xiaodong Lu, Dawei Yang, Yuxiang QICI Quantum Information and Computation Initiative Department of Computer Science The University of Hong Kong Pokfulam Road Hong Kong Shenzhen518045 China Institute of Quantum Precision Measurement State Key Laboratory of Radio Frequency Heterogeneous Integration College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China Shenzhen Institute for Quantum Science and Engineering Department of Physics Southern University of Science and Technology Shenzhen518055 China Guangdong Provincial Key Laboratory of Quantum Science and Engineering Southern University of Science and Technology Shenzhen518055 China

Quantum control plays a crucial role in enhancing precision scaling for quantum sensing. However, most existing protocols require perfect control, even though real-world devices inevitably have control imperfections. Here, we consider a fundamental setting of quantum sensing with imperfect clocks, where the duration of control pulses and the interrogation time are all subject to uncertainty. Under this scenario, we investigate the task of frequency estimation in the presence of a non-Markovian environment. We design a control strategy and prove that it outperforms any control-free strategies, recovering the optimal Heisenberg scaling up to a small error term that is intrinsic to this model. We further demonstrate the advantage of our control strategy via experiments on a nuclear magnetic resonance (NMR) platform. Our finding confirms that the advantage of quantum control in quantum sensing persists even in the presence of imperfections. Copyright © 2024, The Authors. All rights reserved.

关键词： Frequency estimation

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Mantle Plume-Lithosphere Interactions Beneath the Emeishan Large Igneous Province

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Geophysical Research Letters 2024年第2期51卷 e2023GL106973-e2023GL106973页

作者： Zhang, Anqi Guo, Zhen Afonso, Juan Carlos Shellnutt, J. Gregory Yang, Yingjie Department of Earth and Space Sciences Southern University of Science and Technology Shenzhen China State Key Laboratory of Geodesy and Earth's Dynamics Innovation Academy for Precision Measurement Science and Technology Chinese Academy of Sciences Wuhan China Department of Ocean Science and Engineering Southern University of Science and Technology Shenzhen China University of Twente Enschede Netherlands Department of Earth Science National Taiwan Normal University Taipei Taiwan Guangdong Provincial Key Laboratory of Geophysical High-resolution Imaging Technology Southern University of Science and Technology Shenzhen China

The formation of large igneous provinces (LIPs) has been widely believed to be linked to mantle plume activity. However, how the plume modifies the overlying lithosphere, particularly its compositional structure, remains uncertain. Here, we characterize the deep thermochemical structure beneath the Emeishan LIP (ELIP), which is a well-known Permian plume-related LIP in China, by taking a multi-observable probabilistic inversion. Our results find a clear correlation between the lithospheric composition with the ELIP's concentric zones. We infer that the fertile feature of the lithospheric mantle in the ELIP's inner zone was caused by the plume-derived fertile magmas which infiltrated into and chemically refertilized the ambient depleted lithosphere. This plume-modified lithospheric compositional structure is likely to be preserved after the plume event, while the present lithospheric thermal structure has been mainly influenced by the subsequent thermal-tectonic activity. Our results improve our understanding of the physicochemical interactions between the lithosphere and ancient plume. © 2024. The Authors.

关键词： Thermal plumes

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DSTFormer: 3D Human Pose Estimation with a Dual-scale Spatial and Temporal Transformer Network

DSTFormer: 3D Human Pose Estimation with a Dual-scale Spatia...

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International Conference on Advanced Robotics and Mechatronics (ICARM)

作者： Shaokun Zhang Xinde Li Chuanfei Hu Jianping Xu Huaping Liu School of Automation Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China Nanjing Center for Applied Mathematics Nanjing China Southeast University Shenzhen Research Institute Shenzhen China Science and Technology on Information Systems Engineering Laboratory Nanjing China Department of Computer Science and Technology Tsinghua University Beijing China

ISBN: (数字)9798350385724

ISBN: (纸本)9798350385731

Recent transformer-based methods for estimating 3D human pose have gained widespread attention, achieving state-of-the-art results. Previous methods have primarily focused on capturing motion patterns of the human body at a single scale or cascading multiple scales, such as joints, bones, and body-parts. However, they are difficult to simultaneously capture spatial-temporal motion patterns of the human body at different scales due to the complex motion patterns. To address this issue, we propose Dual-scale Spatial and Temporal transFormer (DSTFormer), which can concurrently explore the spatial dependencies and temporal motion patterns of human joints and bones. Additionally, we introduce a Gcn-Spatial Transformer Block (GSTB), which introduces Graph Convolutional Networks (GCN) into transformer to enhance the exploitation of local relationships and global information between adjacent joints or bones. Extensive experiments are conducted on the Human3.6M benchmark dataset, and superior results are reported when comparing to other state-of-the-art methods. More remarkably, our model achieves to-date the best published performance, with P1 errors of 37.9 mm and 15.6 mm, respectively.

关键词： Solid modeling Three-dimensional displays Mechatronics Graph convolutional networks Computational modeling Pose estimation Transformers Bones Joints Robots

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An Efficient Method Coupled Dbscan and Percentile Filter for Laser Welding Depth Determination Using Optical Coherence Tomography

SSRN

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SSRN 2023年

作者： Xie, Guanming Wang, Sanhong Zhang, Yueqiang Hu, Biao Fu, Yu Yu, Qifeng Li, You Institute of Intelligent Optical Measurement and Detection Shenzhen University Shenzhen518060 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China Shenzhen Sincevision Technology Co. Ltd. Shenzhen518055 China National Key Laboratory of Human Factors Engineering China Astronaut Research and Training Center Beijing100094 China

Optical coherence tomography (OCT) provides a direct welding depth measurement during laser welding and shows high achievable accuracy in continuous monitoring. Statistical evaluation approach accurately extracts the welding depth from OCT-data but suffers from complexity in noise removal. In this paper, an efficient method coupled DBSCAN (Density-Based Spatial Clustering of Application with noise) and percentile filter for laser welding depth determination is proposed. The noise of the OCT-data are viewed as outliers and detected by DBSCAN. After eliminating the noise, the percentile filter is used to extract the welding depth. By comparing the welding depth determined by this approach and the actual weld depth of longitudinal cross section, an average error of less than 5% is obtained. The precise laser welding depth can be efficiently achieved by the method. © 2023, The Authors. All rights reserved.

关键词： Laser beam welding

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