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All-fiber high-resolution computational spectropolarimeter based on speckle pattern

Chinese Optics Letters 2024年第12期22卷 95-100页

作者： Qianyu Zhou Yangyang Wan Xinyu Fan Zuyuan He State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong UniversityShanghai 200240China

The lightwave field possesses several dimensional properties,including amplitude,spectrum,phase,and *** measurements of lightwaves have diverse applications ranging from remote sensing to analytical ***,achieving high-resolution simultaneous multi-dimensional measurement of lightwaves remains *** this work,we demonstrate an all-fiber spectropolarimeter based on a speckle pattern obtained from the end of a multi-mode *** proposed system simultaneously achieves a spectral resolution of 100 pm and a polarization resolution of *** polarization measurement errors for three Stokes parameters are 3.37%,1.01%,and 0.84%,respectively,with a mean squared error of 5.3×10^(-5).This work provides novel potential for high-resolution and accurate multi-dimensional lightwave field measurements.

关键词： spectropolarimeter speckle pattern multi-mode fiber

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Dual bulk-boundary correspondence in a nonreciprocal spin-orbit coupled zigzag lattice

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Physical Review B 2024年第4期110卷 L041103-L041103页

作者： Lingfang Li Chong Hou Gangzhou Wu Yang Ruan Shihua Chen Luqi Yuan Zhenhua Ni School of Physics and Frontiers Science Center for Mobile Information Communication and Security Nanjing 211111 China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Physics and Astronomy

We unveil a relevant non-Hermitian symmetry and hence a dual bulk-boundary correspondence (BBC) from a one-dimensional non-Hermitian Rice-Mele model including on-site dissipation, nonreciprocity, and spin-orbit coupling. To expose this dual BBC, we present the closed-form solutions for spin-up and spin-down edge modes and two explicit topological winding numbers, which are linked to each other to a perfect degree. We also demonstrate the topological zero modes and their strong insensitivity to disorder in the presence of spin-orbit coupling. We anticipate that this dual BBC may offer another route for manipulating spin currents and trigger the research for dual topological insulators in a single zigzag lattice.

关键词： Edge states Symmetry protected topological states Topological insulators Topological phase transition Non-Hermitian systems

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

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Light(Science & Applications) 2024年第3期13卷 478-487页

作者： Shaofu Xu Binshuo Liu Sicheng Yi Jing Wang Weiwen Zou State Key Laboratory of Advanced Optical Communication Systems and Networks Intelligent Microwave Lightwave Integration Innovation Center(imLic)Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghaiChina

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 ***,applying AFE to broadband radio-frequency(RF)scenarios is challenging due to the bandwidth and programmability bottlenecks of analog electronic ***,we introduce a photonics-based scheme that extracts spatiotemporal features from broadband RF signals in the analog *** 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 *** of the tunability of the photonic devices,the photonic spatiotemporal feature extractor is trainable,which enhances the validity of the extracted ***,a digital-analog-hybrid transfer learning method is proposed for the effective and low-cost training of the photonic feature *** validate our scheme,we demonstrate a radar target recognition task with a 4-GHz instantaneous *** 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.

关键词： scheme driving smart

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Comparison of MLSD and M-BCJR for 1.6T Data-Center Interconnects with Brick-wall Bandwidth Limitation

Comparison of MLSD and M-BCJR for 1.6T Data-Center Interconn...

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2024 Asia communications and Photonics Conference, ACP 2024 and International Conference on Information Photonics and optical communications, IPOC 2024

作者： Huang, Dangui Zhu, Yixiao Fang, Xiansong Hu, Yimin Zhang, Yikun Zhang, Chenbo Xie, Xiaopeng Zhang, Fan Hu, Weisheng State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China State Key Laboratory of Advanced Optical Communication Systems and Networks Peking University Beijing China

ISBN: (纸本)9798350379266

We experimentally demonstrate single-wavelength 1.6-Tb/s(=8×200Gb/s) data-center interconnects over a 1-km 8-core MCF link. We compare the performance of MLSD and M-BCJR algorithms for FTN transmission under brick-wall bandwidth limitation. The MLSD algorithm achieves 10.19% BER decrease compared with M-BCJR under 40-GHz bandwidth limitation. © 2024 IEEE.

关键词： Bandwidth

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Decomposition-based learning in drone-assisted wireless-powered mobile edge computing networks

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Digital communications and networks 2024年第6期10卷 1769-1781页

作者： Xiaoyi Zhou Liang Huang Tong Ye Weiqiang Sun State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong UniversityShanghai 200240China College of Computer Science and Technology Zhejiang University of TechnologyHangzhou 310058China

This paper investigates the multi-Unmanned Aerial Vehicle(UAV)-assisted wireless-powered Mobile Edge Computing(MEC)system,where UAVs provide computation and powering services to mobile *** aim to maximize the number of completed computation tasks by jointly optimizing the offloading decisions of all terminals and the trajectory planning of all *** action space of the system is extremely large and grows exponentially with the number of *** this case,single-agent learning will require an overlarge neural network,resulting in insufficient ***,the offloading decisions and trajectory planning are two subproblems performed by different executants,providing an opportunity for *** thus adopt the idea of decomposition and propose a 2-Tiered Multi-agent Soft Actor-Critic(2T-MSAC)algorithm,decomposing a single neural network into multiple small-scale *** the first tier,a single agent is used for offloading decisions,and an online pretrained model based on imitation learning is specially designed to accelerate the training process of this *** the second tier,UAVs utilize multiple agents to plan their *** agent exerts its influence on the parameter update of other agents through actions and rewards,thereby achieving joint *** results demonstrate that the proposed algorithm can be applied to scenarios with various location distributions of terminals,outperforming existing benchmarks that perform well only in specific *** particular,2T-MSAC increases the number of completed tasks by 45.5%in the scenario with uneven terminal ***,the pretrained model based on imitation learning reduces the convergence time of 2T-MSAC by 58.2%.

关键词： Mobile-edge computing Multi-agent reinforcement learning Offloading decision Trajectory planning Unmanned aerial vehicle Wireless power transfer

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Learnable digital signal processing:a new benchmark of linearity compensation for optical fiber communications

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Light(Science & Applications) 2024年第9期13卷 1931-1943页

作者： Zekun Niu Hang Yang Lyu Li Minghui Shi Guozhi Xu Weisheng Hu Lilin Yi State Key Lab of Advanced Optical Communication Systems and Networks School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240PR China

The surge in interest regarding the next generation of optical fiber transmission has stimulated the development of digital signal processing(DSP)schemes that are highly cost-effective with both high performance and low *** benchmarks for nonlinear compensation methods,however,traditional DSP designed with block-by-block modules for linear compensations,could exhibit residual linear effects after compensation,limiting the nonlinear compensation *** we propose a high-efficient design thought for DSP based on the learnable perspectivity,called learnable DSP(LDSP).LDSP reuses the traditional DSP modules,regarding the whole DSP as a deep learning framework and optimizing the DSP parameters adaptively based on backpropagation algorithm from a global *** method not only establishes new standards in linear DSP performance but also serves as a critical benchmark for nonlinear DSP *** comparison to traditional DSP with hyperparameter optimization,a notable enhancement of approximately 1.21 dB in the Q factor for 400 Gb/s signal after 1600 km fiber transmission is experimentally demonstrated by combining LDSP and perturbation-based nonlinear compensation *** from the learnable model,LDSP can learn the best configuration adaptively with low complexity,reducing dependence on initial *** proposed approach implements a symbol-rate DSP with a small bit error rate(BER)cost in exchange for a 48%complexity reduction compared to the conventional 2 samples/symbol *** believe that LDSP represents a new and highly efficient paradigm for DSP design,which is poised to attract considerable attention across various domains of optical communications.

关键词： fiber signal optical

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Integrated spatial photonic XY Ising sampler based on a high-uniformity 1 × 8 multi-mode interferometer

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Photonics Research 2025年第5期13卷 1419-1427页

作者： XIN YE WENJIA ZHANG ZUYUAN HE State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University

Spatial photonic Ising machines, as emerging artificial intelligence hardware solutions by leveraging unique physical phenomena, have shown promising results in solving large-scale combinatorial problems. However,spatial light modulator enabled Ising machines still remain bulky, are very power demanding, and have poor stability. In this study, we propose an integrated XY Ising sampler based on a highly uniform multimode interferometer and a phase shifter array, enabling the minimization of both discrete and continuous spin Hamiltonians. We elucidate the performance of this computing platform in achieving fully programmable spin couplings and external magnetic fields. Additionally, we successfully demonstrate the weighted full-rank Ising model with a linear dependence of 0.82 and weighted MaxCut problem solving with the proposed *** results illustrate that the developed structure has significant potential for larger-scale, reduced power consumption and increased operational speed, positioning it as a versatile platform for commercially viable high-performance samplers of combinatorial optimization problems.

关键词： optical computing optical parametric oscillators Phase modulation Phase noise Space division multiplexing Spatial light modulators

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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 114-119页

作者：叶新张文甲何祖源 State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University

The photonic Ising machine,a promising non-von Neumann computational paradigm,offers a feasible way to address combinatorial optimization *** 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 *** experiments with 20736-node Max-Cut problems,we establish a stable performance within a smoothness degree of 0.04 to *** noise injection results in a 24% performance enhancement,showing a 73% improvement over heuristic Sahni-Gonzales (SG) ***,to address noise-induced instability concerns,we propose an optoelectronic co-optimization method for a more streamlined smoothing method with strong stability.

关键词： photonic Ising machine smoothed analysis optoelectronic co-optimization

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Implementation of 400 Gbps quantum noise stream cipher encryption for 1520 km fiber transmission using end-to-end deep learning

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Optics Letters 2025年第12期50卷 3808-3811页

作者： Xie, Yunhao Huang, Xianran Xu, Guozhi Xiao, Junzhe Shi, Mengyue Hu, Weisheng Yi, Lilin State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China

In the era of large models and big data, the security of optical fiber communication backbone networks has garnered significant attention. Quantum noise stream cipher (QNSC) stands as a crucial method for safeguarding the physical layer security of optical fiber communications, yet the current schemes lag behind the rate capabilities of existing 400G optical fiber backbone networks. In this paper, we introduce deep learning into QNSC and propose an end-to-end quantum noise stream cipher (E2E-QNSC) scheme, which encrypts 16 quadrature amplitude modulation (QAM) into E2E-65536QAM/QNSC. Our experiments successfully demonstrate secure optical communication with a single-channel rate of 400 Gbps, a total capacity of 8.4 Tbps, and a transmission distance of 1520 km. Even in the most extreme scenarios, the detection failure probability (DFP) of the scheme remains at an excellent level greater than 0.9999, proving the security of the approach. The experimental results presented herein represent the highest rate–distance product record of QNSC secure transmission systems, to the best of our knowledge. © 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.

关键词： Quadrature amplitude modulation

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Broadband and fabrication-tolerant 3-dB couplers with topological valley edge modes

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Light(Science & Applications) 2024年第8期13卷 1623-1630页

作者： Guo-Jing Tang Xiao-Dong Chen Lu Sun Chao-Heng Guo Meng-Yu Li Zhong-Tao Tian Hou-Hong Chen Hong-Wei Wang Qi-Yao Sun Ying-Di Pan Xin-Tao He Yi-Kai Su Jian-Wen Dong School of Physics&State Key Laboratory of Optoelectronic Materials and Technologies Sun Yat-sen UniversityGuangzhou 510275China State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghai 200240China

3-dB couplers,which are commonly used in photonic integrated circuits for on-chip information processing,precision measurement,and quantum computing,face challenges in achieving robust performance due to their limited 3-dB bandwidths and sensitivity to fabrication *** address this,we introduce topological physics to nanophotonics,developing a framework for topological 3-dB *** couplers exhibit broad working wavelength range and robustness against fabrication dimensional *** leveraging valley-Hall topology and mirror symmetry,the photonic-crystal-slab couplers achieve ideal 3-dB splitting characterized by a wavelength-insensitive scattering *** analysis confirms the superiority on broad bandwidth of 48 nm and robust splitting against dimensional errors of 20 *** further propose a topological interferometer for on-chip distance measurement,which also exhibits robustness against dimensional *** extension of topological principles to the fields of interferometers,may open up new possibilities for constructing robust wavelength division multiplexing,temperature-drift-insensitive sensing,and optical coherence tomography applications.

关键词： topological splitting insensitive

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