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Rydberg-Atom Terahertz Heterodyne Receiver with ultrahigh Spectral Resolution

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Chinese Physics Letters 2024年第8期41卷 17-21页

作者： zhenyue She Xiaojie zhu Yayi Lin Xianzhe Li Xiaolin Yang Yanfei Shang Yuqin Teng Haitao Tu kaiyu Liao Caixia zhang Xiaohong Liu Jiehua Chen Wei Huang Key Laboratory of Atomic and Subatomic Structure and Quantum Control(Ministry of Education) School of PhysicsSouth China Normal UniversityGuangzhou 510006China Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials South China Normal UniversityGuangzhou 510006China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Frontier Research Institute for PhysicsSouth China Normal UniversityGuangzhou 510006China GPETR Center for Quantum Precision Measurement South China Normal UniversityGuangzhou 510006China State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics Innovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhan 430071China university of Chinese Academy of Sciences Beijing 100049China Key Laboratory of Atomic Frequency Standards Innovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhan 430071China Wuhan Institute of Quantum Technology Wuhan 430206China

Terahertz heterodyne receivers with high sensitivity and spectral resolution are crucial for various ***,we present a room-temperature atomic terahertz heterodyne receiver that achieves ultrahigh sensitivity and frequency *** a signal frequency of 338.7 GHz,we obtain a sensitivity of 2.88±0.09V·cm^(−1)·Hz^(−1/2) for electric field *** calibrated linear dynamical range spans approximately 89 dB,ranging from−110 dBV/cm to−21 dBV/*** demodulate a 400 symbol stream encoded in 4-state phase-shift keying,demonstrating excellent phase detection *** scanning the frequency of the local oscillator,we realize a terahertz spectrometer with Hz level frequency *** resolution is more than two orders of magnitude higher than that of existing terahertz *** demonstrated terahertz heterodyne receiver holds promising potential for working across the entire terahertz spectrum,significantly advancing its practical applications.

关键词： magnitude holds resolution

黄河流域高质量发展效率耦合协调格局分异及其影响因素分析

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北京师范大学学报（自然科学版） 2024年第1期60卷 69-79页

作者：窦睿音赵银芳李开宇焦贝贝西安外国语大学旅游学院人文地理研究所陕西西安西安外国语大学经济金融学院陕西西安

高质量发展是中国式现代化建设的必由之路.本研究在厘清黄河流域经济、社会、生态和城市建设之间逻辑关系的基础上,构建了黄河流域多维系统的高质量发展效率评价指标体系,基于MinDS模型和耦合协调度方法测算2009-2020年不同尺度下黄河... 详细信息

高质量发展是中国式现代化建设的必由之路.本研究在厘清黄河流域经济、社会、生态和城市建设之间逻辑关系的基础上,构建了黄河流域多维系统的高质量发展效率评价指标体系,基于MinDS模型和耦合协调度方法测算2009-2020年不同尺度下黄河流域高质量发展效率多系统耦合协调演化,并利用Tobit模型讨论其影响因素.结果表明:1)黄河流域高质量发展效率总体缓慢上升.其中:经济高质量发展效率呈现“倒u”型发展趋势,由高到低排序为下游、中游、上游;社会高质量发展效率缓慢下降,由高到低排序为上游、下游、中游;生态高质量发展效率快速上升,由高到低排序为中游、上游、下游;城市高质量发展效率平稳波动,由高到低排序为中游、上游、下游.2)黄河流域全域、上游和中游的高质量发展效率多系统耦合协调整体属于较协调状态,下游整体属于接近协调状态.3)经济发展水平、产业结构转型、科技投入强度、科技产出水平、能源消耗强度、环境规制、对外开放程度、基础设施保障和城镇化水平等对黄河流域高质量发展效率多系统耦合协调,在不同流域段的影响表现出空间异质性.基于此,本研究提出了促进黄河流域高质量发展的对策建议.

关键词：高质量发展效率多系统耦合协调影响因素黄河流域

Word-Based Method for Chinese Part-of-Speech via Parallel and Adversarial Network

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Chinese Journal of Electronics 2022年第2期31卷 337-344页

作者： HuANG kaiyu CAO Jingxiang LIu zhuang HuANG Degen School of Computer Science and Technology Dalian University of Technology School of Foreign Languages Dalian University of Technology School of Applied Finance Dongbei University of Finance and Economics

Chinese part-of-speech(POS) tagging is an essential task for Chinese downstream natural language processing tasks. The accuracy of the Chinese POS task will drop dramatically by word-based methods because of the segmentation errors and the word ***, there are several Chinese POS tagging sets with different criteria. Some of them only have a small-scale annotated corpus and are hard to train. To this end, we propose a modified word-based transformer neural network architecture. Meanwhile, we utilize an adversarial transfer learning method that splits the architecture into shared and private parts. This work directly improves the ability of the word-based model, instead of adopting a joint character-based method. Extensive experiments show that our method achieves state-of-the-art performance on all datasets, and more importantly, our method improves performance effectively for the word-based Chinese sequence labeling task.

关键词： Chinese downstream natural language processing tasks modified word-based transformer neural network architecture word-based Chinese sequence labeling task word sparsity adversarial transfer learning method Chinese part-of-speech tagging neural nets word processing word-based method adversarial network Chinese POS task text analysis Chinese POS tagging sets word-based model learning (artificial intelligence) joint character-based method natural language processing small-scale annotated corpus

Lexicon-Augmented Cross-Domain Chinese Word Segmentation with Graph Convolutional Network

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Chinese Journal of Electronics 2022年第5期31卷 949-957页

作者： Yu Hao HuANG kaiyu WANG Yu HuANG Degen School of Computer Science and Technology Dalian University of Technology School of Foreign Languages Dalian University of Technology

Existing neural approaches have achieved significant progress for Chinese word segmentation(CWS). The performances of these methods tend to drop dramatically in the cross-domain scenarios due to the data distribution mismatch across domains and the out of vocabulary words problem. To address these two issues,proposes a lexicon-augmented graph convolutional network for cross-domain CWS. The novel model can capture the information of word boundaries from all candidate words and utilize domain lexicons to alleviate the distribution gap across domains. Experimental results on the cross-domain CWS datasets(SIGHAN-2010 and TCM)show that the proposed method successfully models information of domain lexicons for neural CWS approaches and helps to achieve competitive performance for crossdomain CWS. The two problems of cross-domain CWS can be effectively solved through various interactions between characters and candidate words based on ***, experiments on the CWS benchmarks(Bakeoff-2005) also demonstrate the robustness and efficiency of the proposed method.

关键词： Natural language processing Computational linguistics Chinese word segmentation

A generic and extensible model for the martensite start temperature incorporating thermodynamic data mining and deep learning framework

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Journal of Materials Science & Technology 2022年第33期128卷 31-43页

作者： Chenchong Wang kaiyu zhu Peter Hedström Yong Li Wei Xu State Key Laboratory of Rolling and Automation Northeastern UniversityShenyang 110819China Department of Materials Science and Engineering KTH Royal Institute of TechnologyStockholm 10044Sweden

The martensite start temperature is a critical parameter for steels with metastable *** numerous models have been developed to predict the martensite start(Ms)temperature,the complexity of the martensitic transformation greatly limits their performance and *** this work,we apply deep data mining of thermodynamic calculations and deep learning to develop a generic model for *** data mining was used to establish a hierarchical database with three levels of ***,a convolutional neural network model,which can accurately treat the hierarchical data structure,was used to obtain the final *** integrating thermodynamic calculations,traditional machine learning and deep learning modeling,the final predictor model shows excellent generalizability and extensibility,*** performance both within and beyond the composition range of the original *** effects of 15 alloying elements were considered successfully using the proposed *** work suggests that,with the help of deep data mining considering the physical mechanisms,deep learning methods can partially mitigate the challenge with limited data in materials science and provide a means for solving complex problems with small databases.

关键词： Martensite transformation Data mining Deep learning Extensibility Small-sample problem

基于里德堡原子电场传感的计量、通信以及混合量子系统

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Science Bulletin 2024年第10期69卷 1515-1535页

作者：张好马宇廖开宇杨文广刘宗凯丁冬生颜辉李文辉张临杰 State Key Laboratory of Quantum Optics and Quantum Optics Devices Institute of Laser SpectroscopyShanxi UniversityTaiyuan 030006China Collaborative Innovation Center of Extreme Optics Shanxi UniversityTaiyuan 030006China CAS Key Laboratory of Quantum Information University of Science and Technology of ChinaHefei 230036China Key Laboratory of Atomic and Subatomic Structure and Quantum Control(Ministry of Education) Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of MatterSchool of PhysicsSouth China Normal UniversityGuangzhou 510006China Centre for Quantum Technologies National University of SingaporeSingapore 117543Singapore Hefei National Laboratory Hefei 230088China

Rydberg atoms-based electric field sensing has developed rapidly over the past decade.A variety of theoretical proposals and experiment configurations are suggested and realized to improve the measurement metrics,such as intensity sensitivity,bandwidth,phase,and *** Stark effect and electromagnetically induced transparency(EIT)or electromagnetically induced absorption(EIA)are fundamental physics principles behind the ***,various techniques such as amplitude-or frequency-modulation,optical homodyne read-out,microwave superheterodyne and frequency conversion based on multi-wave mixing in atoms are utilized to push the metrics into higher *** this review,different technologies and the corresponding metrics they had achieved were presented,hoping to inspire more possibilities in the improvement of metrics of Rydberg atom-based electric field sensing and broadness of application scenarios.

关键词： Rydberg atom Electric field sensing Atomic sensor

How does working from home affect developer productivity?——A case study of Baidu during the COVID-19 pandemic

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Science China(Information Sciences) 2022年第4期65卷 141-155页

作者： Lingfeng BAO Tao LI Xin XIA kaiyu zhu Hui LI Xiaohu YANG College of Computer Science and Technology Zhejiang University Baidu Inc. Faculty of Information Technology Monash University

Nowadays, working from home(WFH) has become a popular work arrangement due to its many potential benefits for both companies and employees(e.g., increasing job satisfaction and retention of employees). Many previous studies have investigated the impact of WFH on the productivity of ***, most of these studies usually use a qualitative analysis method such as surveys and interviews,and the studied participants do not work from home for a long continuing time. Due to the outbreak of coronavirus disease 2019(COVID-19), a large number of companies asked their employees to work from home, which provides us an opportunity to investigate whether WFH affects their productivity. In this study, to investigate the difference in developer productivity between WFH and working onsite, we conduct a quantitative analysis based on a dataset of developers’ daily activities from Baidu Inc., one of the largest IT companies in China. In total, we collected approximately four thousand records of 139 developers’ activities of 138 working days. Out of these records, 1103 records are submitted when developers work from home due to the COVID-19 pandemic. We find that WFH has both positive and negative impacts on developer productivity in terms of different metrics, e.g., the number of builds/commits/code reviews. We also notice that WFH has different impacts on projects with different characteristics including programming language,project type/age/size. For example, WFH has a negative impact on developer productivity for large ***, we find that productivity varies for different developers. Based on these findings, we get some feedback from developers of Baidu and understand some reasons why WFH has different impacts on developer productivity. We also conclude several implications for both companies and developers.

关键词： WFH Developer Productivity developer productivity

Deep-learning based on-chip rapid spectral imaging with high spatial resolution

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Chip 2023年第2期2卷 26-33页

作者： Jiawei Yang kaiyu Cui Yidong Huang Wei zhang Xue Feng Fang Liu Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Beijing National Research Center for Information Science and Technology(BNRist) Tsinghua UniversityBeijing 100084China Bejing Academy of Quantum Information Science Beijing 100084China

Spectral imaging extends the concept of traditional color cameras to capture images across multiple spectral channels and has broad ap-plication *** spectral cameras based on scanning methods suffer from the drawbacks of low acquisition speed and large ***-chip computational spectral imaging based on metasur-face filters provides a promising scheme for portable applications,but endures long computation time due to point-by-point iterative spec-tral reconstruction and mosaic effect in the reconstructed spectral *** this study,on-chip rapid spectral imaging was demonstrated,which eliminated the mosaic effect in the spectral image by deep-learning-based spectral data cube *** experimental results show that 4 orders of magnitude faster than the iterative spec-tral reconstruction were achieved,and the fidelity of the spectral re-construction for the standard color plate was over 99%for a standard color *** particular,video-rate spectral imaging was demon-strated for moving objects and outdoor driving scenes with good per-formance for recognizing metamerism,where the concolorous sky and white cars can be distinguished via their spectra,showing great po-tential for autonomous driving and other practical applications in the field of intelligent perception.

关键词： Spectral imaging Deep learning Metasurface

Sustainable silicon anodes facilitated via a double-layer interface engineering: Inner SiOx combined with outer nitrogen and boron co-doped carbon

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Carbon Energy 2022年第3期4卷 399-410页

作者： Jun zh.u Yao Lu Lishan Yang Wenqiang zhu Weifang Liu Yahui Yang kaiyu Liu Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research(Ministry of Education) National and Local Joint Engineering Laboratory for New Petrochemical Materials and Fine Utilization of ResourcesKey Laboratory of the Assembly and Application of Organic Functional Molecules of Hunan ProvinceHunan Normal UniversityChangshaHunanP.R.China College of Chemistry and Chemical Engineering Central South UniversityChangshaHunanP.R.China

Silicon-based(Si)materials are promising anodes for lithium-ion batteries(LIBs)because of their ultrahigh theoretical capacity of 4200 mA h g^(−1).However,commercial applications of Si anodes have been hindered by their drastic volume variation(∼300%)and low electrical ***,to tackle the drawbacks,a hierarchical Si anode with double-layer coatings of a SiOx inner layer and a nitrogen(N),boron(B)co-doped carbon(C-NB)outer layer is elaborately designed by copyrolysis of Si-OH structures and a H3BO_(3)-doped polyaniline polymer on the Si *** with the pristine Si anodes(7mA h g^(−1) at 0.5 A g^(−1) after 340 cycles and 340 mA h g^(−1) at 5 A g^(−1)),the modified Si-based materials(Si@SiOx@C-NB nanospheres)present su perior cycling stability(reversible 1301 mA h g^(−1) at 0.5 A g^(−1) after 340 cycles)as well as excellent rate capability(690mA h g^(−1) at 5 A g^(−1))when used as anodes in *** unique double-layer coating structure,in which the inner amorphous SiOx layer acts as a buffer matrix and the outer defect-rich carbon enhances the electron diffusion of the whole anode,makes it possible to de liver excellent electrochemical *** results indicate that our double-layer coating strategy is a promising approach not only for the devel opment of sustainable Si anodes but also for the design of multielement-doped carbon nanomaterials.

关键词： boron-nitrogen co-doped carbon coating silicon anode stability wettability