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On-chip topological transport of integrated optical frequency combs

Photonics Research 2025年第1期13卷 163-176页

作者： ZHEN JIANG HONGWEI WANG PENG XIE YUECHEN YANG YANG SHEN BO JI YANGHE CHEN YONG ZHANG LU SUN ZHENG WANG CHUN JIANG YIKAI SU GUANGQIANG HE State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghai 200240China SJTU Pinghu Institute of Intelligent Optoelectronics Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghai 200240China School of Electrical&Electronic Engineering Nanyang Technological UniversitySingapore 639798Singapore State Key Laboratory of Precision Spectroscopy East China Normal UniversityShanghai 200062China

optical frequency combs in integrated photonics have widespread applications in high-dimensional optical computing,high-capacity communications,high-speed interconnects,and other paradigm-shifting ***,quantum frequency combs with high-dimensional quantum states are vulnerable to decoherence,particularly in the presence of perturbations such as sharp *** we experimentally demonstrate the robust onchip topological transport of quantum frequency combs in valley photonic crystal *** measuring the time correlations and joint spectral intensity of the quantum frequency combs,we show that both quantum correlations and frequency entanglement remain robust against sharp bends,owing to the topological nature of the quantum valley Hall *** also demonstrate that dissipative Kerr soliton combs with a bandwidth of 20 THz maintain their spectral envelope and low-noise properties even in the presence of structure *** topologically protected optical frequency combs offer robust,complex,highly controllab.e,and scalab.e light sources,promising significant advances in high-dimensional photonic information processing.

关键词： topological quantum perturbations

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Near-Far Field Three-Stage Beam Training for RIS-Assisted Wideband OFDM communications

Near-Far Field Three-Stage Beam Training for RIS-Assisted Wi...

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IEEE Conference on Wireless communications and Networking

作者： Zhichao Cheng Shupei Zhang Shu Fu Boya Di School of Electronics Engineering and Computer Science Peking University Beijing China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing China Department of Microelectronics and Communication Engineering Chongqing University Chongqing China

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

Large-scale reconfigurable intelligent surfaces (RISs) have emerged as a promising technology for signal strength enhancement and coverage extension in 6G networks. However, as the antenna scale and the bandwidth increase, large-scale RIS-assisted wideband orthogonal frequency division multiplexing (OFDM) communication systems face new challenges due to the near-field range expansion and the beam split effect, complicating the acquisition of channel state information (CSI). To tackle these challenges, in this paper, we present a wideband beam training scheme by utilizing the beam split effect to bypass the CSI acquisition. Specifically, by analyzing the beam split effect in RIS-assisted OFDM communication systems, we propose a beam-split-aware codebook capable of covering both the near and far fields. The coverage of codewords in the proposed codebook is expanded benefiting from the beam split effect, leading to fewer codewords compared to conventional narrow-band codebooks. Utilizing such a codebook, a three-stage beam training mechanism is performed to obtain the optimal codeword with low time overhead, thereby facilitating the beamforming. Simulation results demonstrate that the proposed scheme outperforms existing codebook-based beam training schemes in terms of training overhead and sum rate in the hybrid near-far field.

关键词： Training Upper bound Array signal processing OFDM Simulation Reconfigurable intelligent surfaces Broadband antennas Wideband Faces Channel state information

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A novel slice error correction reconciliation for continuous-variable quantum key distribution

A novel slice error correction reconciliation for continuous...

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Quantum communications, Networking, and Computing (QCNC), International Conference on

作者： Lin Zhu Xue-Qin Jiang Han Hai Jisheng Dai Peng Huang Shengyuan Xue College of Information Science and Technology Donghua University Shanghai China State Key Laboratory of Advanced Optical Communication Systems and Networks Institute for Quantum Sensing and Information Processing Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9798331531591

ISBN: (纸本)9798331531607

Information reconciliation is a crucial process in continuous-variable quantum key distribution(CV-QKD) systems. The slice error correction (SEC) reconciliation is appropriate for short-distance CV-QKD. However, the efficiency of SEC reconciliation schemes is significantly influenced by noisy channels with low signal-to-noise ratios (SNRs). In this paper, we present an enhanced information reconciliation scheme, termed AC-SEC reconciliation, which adds the new Gaussian sequences c with the original Gaussian sequences y before quantization in the SEC reconciliation to obtain secret key sequences with high variance and reduce noise interferences. Simulation results demonstrate that compared with the traditional SEC reconciliation, the proposed information reconciliation has lower frame error rate (FER) and higher reconciliation efficiency, which can increase the secret key rate (SKR).

关键词： Quantization (signal) Error analysis Simulation Interference Error correction Quantum key distribution Noise measurement Iterative decoding Signal to noise ratio Quantum communication

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A Multi-modal Intelligent Channel Model for 6G Multi-UAV-to-Multi-Vehicle communications

arXiv

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arXiv 2025年

作者： Bai, Lu Lu, Mengyuan Huang, Ziwei Cheng, Xiang Shandong University Jinan250101 China School of Software Shandong University Jinan250101 China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing100871 China

In this paper, a novel multi-modal intelligent channel model for sixth-generation (6G) multiple-unmanned aerial vehicle (multi-UAV)-to-multi-vehicle communications is proposed. To thoroughly explore the mapping relationship between the physical environment and the electromagnetic space in the complex multi-UAV-to-multi-vehicle scenario, two new parameters, i.e., terrestrial traffic density (TTD) and aerial traffic density (ATD), are developed and a new sensing-communication intelligent integrated dataset is constructed in suburban scenario under different TTD and ATD conditions. With the aid of sensing data, i.e., light detection and ranging (LiDAR) point clouds, the parameters of static scatterers, terrestrial dynamic scatterers, and aerial dynamic scatterers in the electromagnetic space, e.g., number, distance, angle, and power, are quantified under different TTD and ATD conditions in the physical environment. In the proposed model, the channel non-stationarity and consistency on the time and space domains and the channel non-stationarity on the frequency domain are simultaneously mimicked. The channel statistical properties, such as time-space-frequency correlation function (TSF-CF), time stationary interval (TSI), and Doppler power spectral density (DPSD), are derived and simulated. Simulation results match ray-tracing (RT) results well, which verifies the accuracy of the proposed multi-UAV-to-multi-vehicle channel model. Copyright © 2025, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Smoothed analysis-based noise manipulation for spatial photonic Ising machines

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Chinese Optics Letters 2025年第3期23卷 032501-032501页

作者： Ye, Xin Zhang, Wenjia He, Zuyuan State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai200240 China

The photonic Ising machine, a promising non-von Neumann computational paradigm, offers a feasible way to address combinatorial optimization problems. We develop a digital noise injection method for spatial photonic Ising machines based on smoothed analysis, where noise level acts as a parameter that quantifies the smoothness degree. Through experiments with 20736-node Max-Cut problems, we establish a stable performance within a smoothness degree of 0.04 to 0.07. Digital noise injection results in a 24% performance enhancement, showing a 73% improvement over heuristic Sahni–Gonzales (SG) algorithms. Furthermore, to address noise-induced instability concerns, we propose an optoelectronic co-optimization method for a more streamlined smoothing method with strong stability. © 2025 Chinese Optics Letters.

关键词： Combinatorial optimization

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Synesthesia of Machines (SoM)-Enhanced ISAC Precoding for Vehicular networks with Double Dynamics

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IEEE Transactions on communications 2025年

作者： Yang, Zonghui Gao, Shijian Cheng, Xiang Yang, Liuqing Peking University State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Beijing100871 China Internet of Things Thrust Guangzhou511400 China Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong

Integrated sensing and communication (ISAC) technology is vital for vehicular networks, yet the time-varying communication channels and rapid movement of targets present significant challenges for real-time precoding design. Traditional optimization-based methods are computationally complex and strongly depend on perfect prior information, which is often unavailab.e in double-dynamic scenarios. In this paper, we propose a synesthesia of machine (SoM)-enhanced precoding paradigm that leverages modalities such as positioning and initial channel information to adapt to these dynamics. Utilizing a deep reinforcement learning (DRL) framework, our approach pushes ISAC performance boundaries. We also introduce a parameter-shared actor-critic architecture to accelerate training in complex state and action spaces. Extensive experiments validate the superiority of our method over existing approaches. © 1972-2012 IEEE.

关键词： Deep reinforcement learning

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optical pulse processor based on achromatic time lens assisted by compound phase modulation

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Optics Express 2025年第10期33卷 20754-20766页

作者： Huabei Liu Qijie Xie Chunyang Ma Quanxin Na Chaopeng Wang Guomeng Zuo Xiaobin Shi Jiangbing Du Lei Wang Liyang Shao Department of Electrical and Electronic Engineering Southern University of Science and Technology Shenzhen 518055 China Peng Cheng Laboratory Shenzhen 518055 China xieqj@*** State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University Shanghai 200240 China

The time-lens based optical pulse processors have been widely applied in ultrafast optical processing and quantum optics. Conventionally, the time-lens systems used to adopt a sinusoidal waveform to approximate quadratic temporal phase modulation. It inevitably restricts the duration of a linear chirp, and thus limiting the temporal aperture to realize perfect Fourier transform. In this paper, we propose what we believe to be a novel achromatic time lens to expand the temporal aperture by using compound phase modulation. The achromatic time lens first compresses an optical pulse via a traditional time lens, and then introduces a linear chirp over the pulse duration by applying compound waveform consisted of the weighted fundamental and second harmonics. Numerical results proved that the synthesized linear chirp can be maintained over the pulse duration, when the duty cycle of the incident pulse increased from 15% to 72%. It indicates the effective temporal aperture to be expanded significantly. Experimentally, we have applied the achromatic time lens system to process a Gaussian pulse without distorting the pulse shape. The pulse width is compressed from 34 ps to 2.2 ps, while the spectral bandwidth is broadened from 0.32 nm to 1.6 nm. Both the temporal waveform and spectral envelope are maintained. The achromatic time lens scheme exhibits potential integration for supporting on-chip pulse processing with large time aperture.

关键词： Fourier transforms optical filters optical limiting Phase modulation Pulse compression Signal processing

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Multi-frequency terahertz Smith–Purcell radiation via momentum-mismatch-driven quasi-bound states in the continuum

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Photonics Research 2025年第3期13卷 593-603页

作者： ZI-WEN ZHANG JUAN-FENG ZHU FENG-YUAN HAN XIAO LIN CHAO-HAI DU Center for Carbon-based Electronics School of ElectronicsPeking University State Key Laboratory of Advanced Optical Communication Systems and Networks School of ElectronicsPeking University Science Mathematicsand Technology (SMT)Singapore University of Technology and Design Interdisciplinary Center for Quantum Information State Key Laboratory of Extreme Photonics and InstrumentationZJU-Hangzhou Global Scientific and Technological Innovation CenterCollege of Information Science&Electronic EngineeringZhejiang University International Joint Innovation Center The Electromagnetics Academy at Zhejiang UniversityZhejiang University

Bound states in the continuum (BICs) have gained considerable attention for their ability to strengthen light–matter interactions,enabling applications in lasing,sensing,and *** properties also show great promise for intensifying free-electron ***,researchers realized momentum-mismatch-driven quasi-BICs in compound grating *** category of quasi-BICs exhibits high Q factors over a broad frequency *** this paper,we explore the possibility of achieving multi-frequency terahertz Smith–Purcell radiation empowered by momentum-mismatch-driven quasi-BICs in silicon compound grating *** leveraging the low-loss properties of silicon in the terahertz range,quasi-BICs are achieved through guided-mode resonance,delivering exceptionally high Q factors over a broad frequency *** broadband nature of these quasi-BICs enables efficient energy extraction from electron beams across varying voltages,while their multimode characteristics support simultaneous interactions with multiple modes,further boosting radiation *** findings demonstrate significant enhancement of free-electron radiation at multiple frequencies,addressing the limitations of narrowband methods and high-loss metallic *** integrating broadband performance with the advantages of low-loss dielectric platforms,this work advances the development of compact,tunable terahertz free-electron radiation sources and provides valuable insights into optimizing quasi-BIC systems for practical applications.

关键词： Light matter interactions Lithium niobate waveguides Nonlinear frequency conversion Q factor Quantum light sources Waveguide modes

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Secure Combination of Untrusted Time Information Based on Optimized Dempster-Shafer Theory

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IEEE Transactions on Instrumentation and Measurement 2025年 74卷

作者： Li, Yang Luo, Yujie Fang, Lujun Zhang, Yichen Huang, Wei Sun, Ao Zhang, Shuai Zhang, Tao Zhou, Chuang Ma, Li Yang, Jie Wang, Heng Pan, Yan Shao, Yun Chen, Xing Chen, Ziyang Yu, Song Luo, Bin Guo, Hong Xu, Bingjie Institute of Southwestern Communication National Key Laboratory of Security Communication Chengdu610041 China Beijing University of Posts and Telecommunications State Key Laboratory of Information Photonics and Optical Communications Beijing100876 China Peking University State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Center for Quantum Information Technology Beijing100871 China

Secure precision time synchronization is important for applications of Cyber-Physical systems. However, several attacks, especially the Time Delay Attack (TDA), deteriorate the performance of time synchronization system seriously. Multiple paths scheme is thought as an effective security countermeasure to decrease the influence of TDA. However, the effective secure combination algorithm is still missed for precision time synchronization. In this paper, a secure combination algorithm based on Dempster-Shafer theory is proposed for multiple paths method. Special optimizations are done for the combination algorithm to solve the potential problems due to untrusted evidence. Theoretical simulation shows that the proposed algorithm works much better than Fault Tolerant Algorithm (FTA) and the attack detection method based on single path. And experimental demonstration proves the feasibility and superiority of the proposed algorithm, where the time stability with 27.97 ps, 1.57 ps, and 1.12 ps at average time 1s, 10s, 100s is achieved under TDAs and local clock jumps. The proposed algorithm can be used to improve the security and resilience of many importance synchronization protocol, such as NTP, PTP, and TWFTT. © 1963-2012 IEEE.

关键词： Synchronization Clocks Security Main-secondary Mathematical models Delays Evidence theory Standards Time-frequency analysis Sun

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SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM)

arXiv

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arXiv 2025年

作者： Cheng, Xiang Huang, Ziwei Yu, Yong Bai, Lu Sun, Mingran Han, Zengrui Zhang, Ruide Li, Sijiang State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing100871 China Shandong University Jinan250100 China National Mobile Communications Research Laboratory Southeast University Nanjing214135 China

Given the importance of datasets for sensing-communication integration research, a novel simulation platform for constructing communication and multi-modal sensory dataset is developed. The developed platform integrates three high-precision software, i.e., AirSim, WaveFarer, and Wireless InSite, and further achieves in-depth integration and precise alignment of them. Based on the developed platform, a new synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM), named SynthSoM, is proposed. The SynthSoM dataset contains various air-ground multi-link cooperative scenarios with comprehensive conditions, including multiple weather conditions, times of the day, intelligent agent densities, frequency bands, and antenna types. The SynthSoM dataset encompasses multiple data modalities, including radio-frequency (RF) channel large-scale and small-scale fading data, RF millimeter wave (mmWave) radar sensory data, and non-RF sensory data, e.g., RGB images, depth maps, and light detection and ranging (LiDAR) point clouds. The quality of SynthSoM dataset is validated via statistics-based qualitative inspection and evaluation metrics through machine learning (ML) via real-world measurements. The SynthSoM dataset is open-sourced and provides consistent data for cross-comparing SoM-related algorithms. Copyright © 2025, The Authors. All rights reserved.

关键词： Intelligent agents

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