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Cloud-Edge-Terminal Collaborative AIGC for Autonomous Driving

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arXiv 2024年

作者： Zhang, Jianan Wei, Zhiwei Liu, Boxun Wang, Xiayi Yu, Yong Zhang, Rongqing The State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing100871 China The Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai201210 China The School of Software Engineering Tongji University Shanghai200092 China

In dynamic autonomous driving environment, Artificial Intelligence-Generated Content (AIGC) technology can supplement vehicle perception and decision making by leveraging models’ generative and predictive capabilities, and has the potential to enhance motion planning, trajectory prediction and traffic simulation. This article proposes a cloud-edge-terminal collaborative architecture to support AIGC for autonomous driving. By delving into the unique properties of AIGC services, this article initiates the attempts to construct mutually supportive AIGC and network systems for autonomous driving, including communication, storage and computation resource allocation schemes to support AIGC services, and leveraging AIGC to assist system design and resource management. Copyright © 2024, The Authors. All rights reserved.

关键词： Autonomous vehicles

Kerr effect in ultra-compact hybrid plasmonic metal-insulator-metal nano-focusing structure

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Chinese Optics Letters 2022年第3期20卷 106-110页

作者： Kejian Zhu Pengfei Sun F|engfei Xu Xingpeng Liu Tangyou Sun Haiou Li Zhiping Zhou State Key Laboratory of Advanced Optical Communication Systems and Networks Department of ElectronicsSchool of Electronics Engineering and Computer SciencePeking UniversityBeijing 100871China Guangxi Key Laboratory of Precision Navigation Technology and Application Guilin University of Electronic TechnologyGuilin 541004China Shanghai Institute of Optics and Fine Mechanics Chinese Academy of SciencesShanghai 201800China

Nano-focusing structures based on hybrid plasmonic waveguides are likely to play a key role in strong nonlinear optical *** the insertion loss is considerable,a significant nonlinear phase shift may be achieved by decreasing the nano-focusing device footprint and careful parameter ***,we study the Kerr effect in hybrid plasmonic waveguides by analyzing the mode effective area,energy velocity,and insertion ***,by utilizing plasmonics to manipulate the effective index and mode similarity,the TM mode is reflected and absorbed,while the TE mode passes through with relatively low propagation *** providing a deep understanding of hybrid plasmonic waveguides for nonlinear applications,we indicate pathways for their future optimization.

关键词： silicon photonics plasmonics nonlinear optics nano-focusing

optical bound states in the continuum in periodic structures:mechanisms,effects,and applications

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Photonics Insights 2024年第1期3卷 1-26页

作者： Jiajun Wang Peishen Li Xingqi Zhao Zhiyuan Qian Xinhao Wang Feifan Wang Xinyi Zhou Dezhuan Han Chao Peng Lei Shi Jian Zi State Key Laboratory of Surface Physics Key Laboratory of Micro-and Nano-Photonic Structures(Ministry of Education)and Department of PhysicsFudan UniversityShanghaiChina State Key Laboratory of Advanced Optical Communication Systems and Networks School of ElectronicsPeking UniversityBeijingChina College of Physics Chongqing UniversityChongqingChina Institute for Nanoelectronic devices and Quantum computing Fudan UniversityShanghaiChina Collaborative Innovation Center of Advanced Microstructures Nanjing UniversityNanjingChina Shanghai Research Center for Quantum Sciences ShanghaiChina

optical bound states in the continuum(BICs)have recently stimulated a research boom,accompanied by demonstrations of abundant exotic phenomena and *** ultrahigh quality(Q)factors,optical BICs have powerful abilities to trap light in optical structures from the continuum of propagation waves in free *** the high Q factors enabled by the confined properties,many hidden topological characteristics were discovered in optical *** in periodic structures with well-defined wave vectors,optical BICs were discovered to carry topological charges in momentum space,underlying many unique physical *** high Q factors and topological vortex configurations in momentum space enabled by BICs bring new degrees of freedom to modulate *** have enabled many novel discoveries in light-matter interactions and spin-orbit interactions of light,and BIC applications in lasing and sensing have also been well explored with many *** this paper,we review recent developments of optical BICs in periodic structures,including the physical mechanisms of BICs,explored effects enabled by BICs,and applications of *** the outlook part,we provide a perspective on future developments for BICs.

关键词： bound state in the continuum light trapping topological charge polarization vortex momentum space light field manipulation photonic crystal slab nanophotonics

Tailoring the lineshapes of coupled plasmonic systems based on a theory derived from first principles

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Light(Science & Applications) 2020年第1期9卷 510-520页

作者： Jing Lin Meng Qiu Xiyue Zhang Huijie Guo Qingnan Cai Shiyi Xiao Qiong He Lei Zhou State Key Laboratory of Surface Physics Key Laboratory of Micro and Nano Photonic Structures(Ministry of Education)and Department of PhysicsFudan UniversityShanghai 200433China Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced CommunicationShanghai Institute for Advanced Communication and Data ScienceShanghai UniversityShanghai 200444China Collaborative Innovation Center of Advanced Microstructures Nanjing 210093China

Coupled photonic systems exhibit intriguing optical responses attracting intensive attention,but available theoretical tools either cannot reveal the underlying physics or are empirical in ***,we derive a rigorous theoretical framework from first principles(i.e.,Maxwell’s equations),with all parameters directly computable via wave function integrations,to study coupled photonic systems containing multiple *** calculations against Mie theory reveal the physical meanings of the parameters defined in our theory and their mutual *** testing our theory numerically and experimentally on a realistic plasmonic system,we show how to utilize it to freely tailor the lineshape of a coupled system,involving two plasmonic resonators exhibiting arbitrary radiative losses,particularly how to create a completely“dark”mode with vanishing radiative loss(e.g.,a bound state in continuum).All theoretical predictions are quantitatively verified by our experiments at near-infrared *** results not only help understand the profound physics in such coupled photonic systems,but also offer a powerful tool for fast designing functional devices to meet diversified application requests.

关键词： theory principles radiative

LLM4WM: Adapting LLM for Wireless Multi-Tasking

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arXiv 2025年

作者： Liu, Xuanyu Gao, Shijian Liu, Boxun Cheng, Xiang Yang, Liuqing State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing100871 China Guangzhou511400 China Guangzhou511400 China Department of Electronic and Computer Engineering The Department of Civil and Environmental Engineering The Hong Kong University of Science and Technology Hong Kong

The wireless channel is fundamental to communication, encompassing numerous tasks collectively referred to as channel-associated tasks. These tasks can leverage joint learning based on channel characteristics to share representations and enhance system design. To capitalize on this advantage, LLM4WM is proposed—a large language model (LLM) multi-task fine-tuning framework specifically tailored for channel-associated tasks. This framework utilizes a Mixture of Experts with Low-Rank Adaptation (MoE-LoRA) approach for multi-task fine-tuning, enabling the transfer of the pre-trained LLM’s general knowledge to these tasks. Given the unique characteristics of wireless channel data, preprocessing modules, adapter modules, and multi-task output layers are designed to align the channel data with the LLM’s semantic feature space. Experiments on a channel-associated multi-task dataset demonstrate that LLM4WM outperforms existing methodologies in both full-sample and few-shot evaluations, owing to its robust multi-task joint modeling and transfer learning capabilities. Copyright © 2025, The Authors. All rights reserved.

关键词： Semantics

Quantum neural compressive sensing for ghost imaging

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arXiv 2025年

作者： Zhai, Xinliang Xiao, Tailong Huang, Jingzheng Fan, Jianping Zeng, Guihua State Key Laboratory of Advanced Optical Communication Systems and Networks Institute for Quantum Sensing and Information Processing Shanghai Jiao Tong University Shanghai200240 China Hefei National Laboratory Hefei230088 China Shanghai Research Center for Quantum Sciences Shanghai201315 China AI Lab Lenovo Research Beijing100094 China

Demonstrating the utility of quantum algorithms is a long-standing challenge, where quantum machine learning becomes one of the most promising candidate that can be resorted to. In this study, we investigate a quantum neural compressive sensing algorithm for ghost imaging to showcase its utility. The algorithm utilizes the variational quantum circuits to reparameterize the inverse problem of ghost imaging and uses the inductive bias of the physical forward model to perform optimization. To validate the algorithm’s effectiveness, we conduct optical ghost imaging experiments, capturing signals from objects at different physical sampling rates and detection signal-to-noise ratios. The experimental results show that our proposed algorithm surpasses conventional methods in both visual appearance and quantitative metrics, achieving state-of-the-art performance. Importantly, we observe that the quantum neural network, guided by prior knowledge of physics, effectively overcomes the challenge of barren plateau in the optimization process. The proposed algorithm demonstrates robustness against various quantum noise levels, making it suitable for near-term quantum devices. Our study leverages physical inductive bias guided variational quantum algorithm, underscoring the potential of quantum computation in tackling a broad range of optimization and inverse problems. Copyright © 2025, The Authors. All rights reserved.

关键词： Inverse problems

Towards Heisenberg limit without critical slowing down via quantum reinforcement learning

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arXiv 2025年

作者： Xu, Hang Xiao, Tailong Huang, Jingzheng He, Ming Fan, Jianping Zeng, Guihua State Key Laboratory of Advanced Optical Communication Systems and Networks Institute for Quantum Sensing and Information Processing Shanghai Jiao Tong University Shanghai200240 China Hefei National Laboratory Hefei230088 China Shanghai Research Center for Quantum Sciences Shanghai201315 China AI Lab Lenovo Research Beijing100094 China

Critical ground states of quantum many-body systems have emerged as vital resources for quantum-enhanced sensing. Traditional methods to prepare these states often rely on adiabatic evolution, which may diminish the quantum sensing advantage. In this work, we propose a quantum reinforcement learning (QRL)-enhanced critical sensing protocol for quantum many-body systems with exotic phase diagrams. Starting from product states and utilizing QRL-discovered gate sequences, we explore sensing accuracy in the presence of unknown external magnetic fields, covering both local and global regimes. Our results demonstrate that QRL-learned sequences reach the finite quantum speed limit and generalize effectively across systems of arbitrary size, ensuring accuracy regardless of preparation time. This method can robustly achieve Heisenberg and super-Heisenberg limits, even in noisy environments with practical Pauli measurements. Our study highlights the efficacy of QRL in enabling precise quantum state preparation, thereby advancing scalable, high-accuracy quantum critical sensing. Copyright © 2025, The Authors. All rights reserved.

关键词： Reinforcement learning

Investigation on High Power Durability of Standard LC Connectors for DWDM Application. 25

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Investigation on High Power Durability of Standard LC Connec...

25th Opto-Electronics and communications Conference, OECC 2020

作者： Islam Shabbir, Rakibul Ma, Lin He, Zuyuan Shanghai Jiao Tong University State Key Laboratory of Advanced Optical Communication Systems and Networks 200240 China

We investigated high power durability of standard LC connectors both with and without consideration of dust at about 18 W. Our results imply that monitoring output power variation is effective to protect connectors fr... 详细信息

ISBN: (纸本)9781728154459

关键词： Durability

Dual-objective two-photon microscope for volumetric imaging of dense scattering biological samples by bidirectional excitation and collection

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Photonics Research 2024年第6期12卷 1351-1361页

作者： MUYUE ZHAI JING YU YANHUI HU HANG YU BEICHEN XIE YI YU DAWEI LI AIMIN WANG HEPING CHENG National Biomedical Imaging Center College of Future TechnologyPeking UniversityBeijing 100871China Research Unit of Mitochondria in Brain Diseases Chinese Academy of Medical SciencesPKU-Nanjing Institute of Translational MedicineNanjing 211500China Beijing Transcend Vivoscope Biotech Beijing 100085China College of Engineering Peking UniversityBeijing 100871China Academy for Advanced Interdisciplinary Studies Peking UniversityBeijing 100871China Center for Quantitative Biology Peking UniversityBeijing 100871China School of Electronics Peking UniversityBeijing 100871China State Key Laboratory of Advanced Optical Communication System and Networks Peking UniversityBeijing 100871China

Full view observation throughout entire specimens over a prolonged period is crucial when exploring the physiological functions and system-level ***-photon microscopy(MPM)has been widely employed for such purposes owing to its deep penetration ***,the current MPM struggles with balancing the imaging depth and quality while avoiding photodamage for the exponential increasement of excitation power with the imaging ***,we present a dual-objective two-photon microscope(Duo-2P),characterized by bidirectional two-photon excitation and fluorescence collection,for long-duration volumetric imaging of dense scattering ***-2P effectively doubles the imaging depth,reduces the total excitation energy by an order of magnitude for samples with a thickness five times the scattering length,and enhances the signal-to-noise ratio up to 1.4 *** these advantages,we acquired volumetric images of a 380-μm suprachiasmatic nucleus slice for continuous 4-h recording at a rate of 1.67 s/volume,visualized the calcium activities over 4000 neurons,and uncovered their state-switching *** conclude that Duo-2P provides an elegant and powerful means to overcome the fundamental depth limit while mitigating photodamages for deep tissue volumetric imaging.

关键词： excitation overcome exponential