检索结果-内蒙古大学图书馆

optical Fiber communication (OFC) Conference

作者： Wei Gao Xin Li Liangjun Lu Jianping Chen Linjie Zhou State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Lab of Navigation and Location Services Shanghai Institute for Advanced Communication and Data Science Shanghai Jiao Tong University Shanghai China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu China

We demonstrate a $32\times 32$ optical switch on a dual-layer Si 3 N 4 -on-SOI platform with low fiber-to-fiber insertion loss (9.61∼14.51 dB), low crosstalk (∼35 dB), broad 3-dB bandwidth (∼57 nm) and low power ... 详细信息

ISBN: (纸本)9781665470124

关键词： optical fiber losses Semiconductor device measurement Power demand optical switches Crosstalk Insertion loss Bandwidth

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Silicon Photonics 630-Gb/s Complementary Polarization-Diversity Coherent Receiver with 9-Mrad/s Polarization Tracking Speed for Self-Coherent Homodyne Detection

Silicon Photonics 630-Gb/s Complementary Polarization-Divers...

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optical Fiber communication (OFC) Conference

作者： Honglin Ji Zhen Wang Xingfeng Li Jingchi Li Ranjith Rajasekharan Unnithan Weisheng Hu Yikai Su William Shieh The University of Melbourne VIC Australia Peng Cheng Laboratory Shenzhen China State Key Lab of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781557524669

We demonstrate the first on-chip complementary polarization-diversity coherent receiver (C-PDCR) for rapid polarization tracking of remote LO. Based on electronic MIMO DSP, the polarization tracking speed can reach 9 Mrad/s with negligible performance degradation for a 70-Gbaud dual-polarization (DP) PCS-64QAM signal with 630-Gb/s data rate (net rate 485 Gb/s). © 2022 The Author(s)

关键词： Degradation Receivers Silicon photonics optical fiber communication System-on-chip Electromagnetics MIMO communication

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Quantum neural compressive sensing for ghost imaging

arXiv

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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

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Towards Heisenberg limit without critical slowing down via quantum reinforcement learning

arXiv

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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

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Satellite backbone ring network with ?-topology based on sparse configuration arrayed waveguide grating

Satellite backbone ring network with ?-topology based on spa...

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2020 Asia communications and Photonics Conference, ACPC 2020/International Conference on Information Photonics and optical communications, IPOC 2020

作者： Li, Yang Zhu, Yixiao Li, Longsheng Guo, Zidong Hu, Weisheng State Key Laboratory of Advanced Optical Communication Systems and Network School of Electronic Information and Electrical Engineering Shanghai Jiaotong University Shanghai200240 China

A novel architecture for satellite backbone network with ?-topology is presented, where the ROADM nodes are based on arrayed waveguide grating with loop-back optical paths. © OSA 2020, © 2020 The Author(s)

ISBN: (纸本)9781557528209

关键词： Topology

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Progress in silicon-based reconfigurable and programmable all-optical signal processing chips

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Frontiers of Optoelectronics 2025年第1期18卷 10-10页

作者： Xu, Jing Dong, Wenchan Huang, Qingzhong Zhang, Yujia Yin, Yuchen Zhao, Zhenyu Zeng, Desheng Gao, Xiaoyan Gu, Wentao Yang, Zihao Li, Hanghang Han, Xinjie Geng, Yong Zhai, Kunpeng Chen, Bei Fu, Xin Lei, Lei Wu, Xiaojun Dong, Jianji Su, Yikai Li, Ming Liu, Jianguo Zhu, Ninghua Guo, Xuhan Zhou, Heng Wen, Huashun Qiu, Kun Zhang, Xinliang Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China Optics Valley Laboratory Wuhan430074 China State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China Key Lab of Optical Fiber Sensing and Communication Networks University of Electronic Science and Technology of China Chengdu611731 China Institute of Intelligent Photonics Nankai University Tianjin300071 China Key Laboratory of Optoelectronic Materials and Devices Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China School of Electronic and Information Engineering Beihang University Beijing100191 China

Taking the advantage of ultrafast optical linear and nonlinear effects, all-optical signal processing (AOSP) enables manipulation, regeneration, and computing of information directly in optical domain without resorting to electronics. As a promising photonic integration platform, silicon-on-insulator (SOI) has the advantage of complementary metal oxide semiconductor (CMOS) compatibility, low-loss, compact size as well as large optical nonlinearities. In this paper, we review the recent progress in the project granted to develop silicon-based reconfigurable AOSP chips, which aims to combine the merits of AOSP and silicon photonics to solve the unsustainable cost and energy challenges in future communication and big data applications. Three key challenges are identified in this project: (1) how to finely manipulate and reconfigure optical fields, (2) how to achieve ultra-low loss integrated silicon waveguides and significant enhancement of nonlinear effects, (3) how to mitigate crosstalk between optical, electrical and thermal components. By focusing on these key issues, the following major achievements are realized during the project. First, ultra-low loss silicon-based waveguides as well as ultra-high quality microresonators are developed by advancing key fabrication technologies as well as device structures. Integrated photonic filters with bandwidth and free spectral range reconfigurable in a wide range were realized to finely manipulate and select input light fields with a high degree of freedom. Second, several mechanisms and new designs that aim at nonlinear enhancement have been proposed, including optical ridge waveguides with reverse biased PIN junction, slot waveguides, multimode waveguides and parity-time symmetry coupled microresonators. advanced AOSP operations are verified with these novel designs. Logical computations at 100 Gbit/s were demonstrated with self-developed, monolithic integrated programmable optical logic array. High-dimensional multi-valu

关键词： Four wave mixing

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Ultra-Compact Silicon Mode Converter Based on a Zigzag-type Metasurface Structure

Ultra-Compact Silicon Mode Converter Based on a Zigzag-type ...

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optical Fiber communication (OFC) Conference

作者： Hongwei Wang Yu He Lu Sun Yong Zhang Yikai Su State Key Lab of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China

An ultra-compact silicon waveguide mode converter is proposed and experimentally demonstrated using an all-dielectric metasurface structure with zigzag-type periodic perturbations.

ISBN: (纸本)9781943580866

An ultra-compact silicon waveguide mode converter is proposed and experimentally demonstrated using an all-dielectric metasurface structure with zigzag-type periodic perturbations.

关键词： Perturbation methods Metasurfaces Silicon optical fiber communication optical waveguides Periodic structures

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Broadband Power Coupling and Splitting in Photonic Thouless Pump systems

Broadband Power Coupling and Splitting in Photonic Thouless ...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Lu Sun Hongwei Wang Yong Zhang Yikai Su State Key Lab of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China

By utilizing the topological transport property of Thouless pump, we experimentally demonstrate the broadband optical power coupling and splitting on the silicon photonic platform in the telecom band.

ISBN: (纸本)9781943580910

关键词： Couplings optical losses Laser theory Silicon photonics optical crosstalk optical pumping optical coupling

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Generation of Multiple Sharp Fano Resonances based on a Silicon Nanobeam-Microring Resonator

Generation of Multiple Sharp Fano Resonances based on a Sili...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Ruihuan Zhang Yu He Yong Zhang Yikai Su State Key Lab of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China

A silicon nanobeam-microring resonator is experimentally demonstrated to generate periodic multiple sharp Fano resonances with an FSR of 8.44 nm. The extinction ratios of the Fano resonances are higher than 11 dB.

ISBN: (纸本)9781943580910

关键词： Extinction ratio Silicon Erbium Electrooptic effects

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High-Efficiency Fiber-Chip Edge Coupler Design for Visible Light on Alumina-on-Insulator Photonics

High-Efficiency Fiber-Chip Edge Coupler Design for Visible L...

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Asia communications and Photonics Conference and Exhibition (ACP)

作者： Yuhan Du Yu He Zhen Wang Yong Zhang Weiqiang Xie Yikai Su State Key Lab of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China

We propose a fiber-chip edge coupler at the wavelength from 405 nm to 500 nm based on the alumina optical waveguides. Simulation result shows lower than 1.6 dB insertion loss for the TE-polarized light.

ISBN: (纸本)9781957171005

关键词： optical fiber polarization optical losses Couplings optical polarization Simulation optical fiber couplers Couplers

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