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Hybrid quantum-classical convolutional neural networks

Science China(Physics,Mechanics & Astronomy) 2021年第9期64卷 1-8页

作者： Junhua Liu kwan hui lim Kristin LWood Wei Huang Chu Guo He-Liang Huang Information Systems Technology and Design Singapore University of Technology and DesignSingapore 487372Singapore Forth AI Singapore 487372Singapore College of Engineering Design and ComputingUniversity of Colorado DenverColorado 80208USA Guangxi Key Laboratory of Optoelectronic Information Processing Guilin University of Electronic TechnologyGuilin 541004China Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics and Synergetic Innovation Center for Quantum Effects and ApplicationsHunan Normal UniversityChangsha 410081China Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics University of Science and Technology of ChinaHefei 230026China Shanghai Branch CAS Centre for Excellence and Synergetic Innovation Centre in Quantum Information and Quantum PhysicsUniversity of Science and Technology of ChinaHefei 201315China Henan Key Laboratory of Quantum Information and Cryptography Zhengzhou 450000China

Deep learning has been shown to be able to recognize data patterns better than humans in specific circumstances or *** parallel,quantum computing has demonstrated to be able to output complex wave functions with a few number of gate operations,which could generate distributions that are hard for a classical computer to *** we propose a hybrid quantum-classical convolutional neural network(QCCNN),inspired by convolutional neural networks(CNNs)but adapted to quantum computing to enhance the feature mapping *** is friendly to currently noisy intermediate-scale quantum computers,in terms of both number of qubits as well as circuit’s depths,while retaining important features of classical CNN,such as nonlinearity and *** also present a framework to automatically compute the gradients of hybrid quantum-classical loss functions which could be directly applied to other hybrid quantum-classical *** demonstrate the potential of this architecture by applying it to a Tetris dataset,and show that QCCNN can accomplish classification tasks with learning accuracy surpassing that of classical CNN with the same structure.

关键词： quantum computing quantum machine learning hybrid quantum-classical algorithm convolutional neural network

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Flame-assisted ultrafast synthesis of functionalized carbon nanosheets for high-performance sodium storage

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Carbon Energy 2024年第7期6卷 123-133页

作者： Chen Chen Dong Yan Yew Von lim Lei Liu Xue Liang Li Junjie Chen Tian Chen Li Youyu Zhu Jiangtao Cai Ying Huang Yating Zhang hui Ying Yang School of Chemistry and Chemical Engineering Northwestern Polytechnical UniversityXi'anChina Pillar of Engineering Product Development Singapore University of Technology and DesignSingaporeSingapore School of Electrical Engineering Xi'an University of TechnologyXi'anChina International Joint Laboratory of New Energy Materials and Devices of Henan Province School of Physics and ElectronicsHenan UniversityKaifengChina College of Chemistry and Chemical Engineering Xi'an University of Science and TechnologyXi'anChina

The unique structural features of hard carbon(HC)make it a promising anode candidate for sodium-ion batteries(SIB).However,traditional methods of preparing HC require special equipment,long reaction times,and large energy consumption,resulting in low throughputs and *** our contribution,a novel synthesis method is proposed,involving the formation of HC nanosheets(NS-CNs)within minutes by creating an anoxic environment through flame combustion and further introducing sulfur and nitrogen sources to achieve heteroatom *** effect of heterogeneous element doping on the microstructure of HC is quantitatively analyzed by high-resolution transmission electron microscopy and image processing *** with density functional theory calculation,it is verified that the functionalized HC exhibits stronger Na^(+)adsorption ability,electron gain ability,and Na^(+)migration *** a result,NS-CNs as SIB anodes provide an ultrahigh reversible capacity of 542.7mAh g^(-1) at 0.1Ag^(-1),and excellent rate performance with a reversible capacity of 236.4mAh g^(-1) at 2Ag^(-1) after 1200 ***,full cell assembled with NS-CNs as the can present 230mAh g^(-1) at 0.5Ag^(-1) after 150 ***,in/ex situ techniques confirm that the excellent sodium storage properties of NS-CNs are due to the construction of abundant active sites based on the novel synthesis method for realizing the reversible adsorption of Na^(+).This work provides a novel strategy to develop novel carbons and gives deep insights for the further investigation of facile preparation methods to develop high-performance carbon anodes for alkali-ion batteries.

关键词： carbon nanosheets heteroatom doping sodium-ion battery sustainable materials

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基于遥感数据与数值模式的浒苔漂移输运预报:以江苏近海为例

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海洋学研究 2024年第1期42卷 69-82页

作者：林连杰董昌明嵇宇翔 lim KAM SIAN Kenny Thiam Choy 李兆鑫蒋星亮曹玉晗高慧王胜强曹茜南京信息工程大学海洋科学学院江苏南京210044 江苏省连云港市气象局江苏连云港222006 无锡学院江苏无锡214105 华东师范大学河口海岸学国家重点实验室上海200241 复旦大学大气与海洋科学系上海200433 江苏海洋大学海洋技术与测绘学院江苏连云港222005

浒苔暴发是影响全球近岸海域最为严重的海洋灾害之一,引起了社会各方的重视。该研究基于大气-波浪-海洋集合模式,根据卫星遥感数据提取浒苔位置,采用拉格朗日漂流模式对浒苔进行追踪并预报其漂移路径。与卫星观测结果对比表明,该集合模... 详细信息

浒苔暴发是影响全球近岸海域最为严重的海洋灾害之一,引起了社会各方的重视。该研究基于大气-波浪-海洋集合模式,根据卫星遥感数据提取浒苔位置,采用拉格朗日漂流模式对浒苔进行追踪并预报其漂移路径。与卫星观测结果对比表明,该集合模式能够较好地预报浒苔的位置、分布及其漂移路径。此外,该研究还讨论了Stokes漂流对于模式预报的影响,结果表明考虑Stokes漂流可以修正浒苔漂移路径,有效提高预报的准确性。

关键词：浒苔模式预报 Stokes漂流江苏近海

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Intravitreal aflibercept in neovascular age-related macular degeneration previously treated with ranibizumab

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International Journal of Ophthalmology(English edition) 2017年第3期10卷 423-426页

作者： Rachel hui Fen lim Bhaskar Gupta Peter Simcock Royal Devon and Exeter NHS Foundation Trust BarrackRoad Exeter EX2 5DW United Kingdom

AIM：To report the change in visual acuity and central macular thickness（CMT）following treatment with intravitreal aflibercept injections in patients with neovascular agerelated macular degeneration（n AMD）with suboptimum response to ***：This was a retrospective study. The inclusion criteria were patients with n AMD who responded poorly to ranibizumab. Patients then received either 3 consecutive aflibercept injections followed by pro re nata（PRN）treatment or PRN alone. Primary endpoints were mean change in bestcorrected visual acuity（BCVA）and CMT at 12 mo. Secondary endpoints were number of injections and adverse ***：Forty-nine eyes from 49 patients met the inclusion criteria and completed 12-month follow up on aflibercept. Thirty-eight eyes received 3 consecutive aflibercept injections followed by PRN treatment and 11 eyes received PRN injections alone. At 12 mo,mean BCVA improved by one letters（log MAR 0.56±0.31 to 0.54±0.34）and mean CMT decreased from 303.9±82.1 to 259.2±108.3 μ*** percent of eyes gained 15 letters or more,6% lost more than 15 letters and the remaining 90% had stable BCVA. The mean number of aflibercept injections was *** was one case of infectious ***：Intravitreal aflibercept in patients with n AMD with a previous suboptimal response to ranibizumab resulted in an anatomical improvement in macular appearance at 12 mo without a corresponding improvement in visual acuity.

关键词： aflibercept ranibizumab neovascular agerelated macular degeneration

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Hybrid SDS and WPT-IBBO-DNM Based Model for Ultra-short Term Photovoltaic Prediction

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CSEE Journal of Power and Energy Systems 2023年第1期9卷 66-76页

作者： hui Hwang Goh Qinwen Luo Dongdong Zhang hui Liu Wei Dai Chee Shen lim Tonni Agustiono Kurniawan Kai Chen Goh School of Electrical Engineering Guangxi UniversityNanningGuangxi 530004China University of Southampton Malaysia Iskandar Puteri 79200Malaysia College of the Environment and Ecology Xiamen UniversityFujian 361102China Department of Technology Management Faculty of Construction Management and BusinessUniversity Tun Hussein Onn Malaysia86400 Parit RajaJohorMalaysia

Accurate photovoltaic(PV)power prediction has been a subject of ongoing study in order to address grid stability concerns caused by PV output unpredictability and *** paper proposes an ultra-short-term hybrid photovoltaic power forecasting method based on a dendritic neural model(DNM)in this *** model is trained using improved biogeography-based optimization(IBBO),a technique that incorporates a domestication operation to increase the performance of classical biogeography-based optimization(BBO).To be more precise,a similar day selection(SDS)technique is presented for selecting the training set,and wavelet packet transform(WPT)is used to divide the input data into many *** is then used to train DNM weights and thresholds for each component ***,each component’s prediction results are stacked and *** suggested hybrid model is used to forecast PV power under various weather conditions using data from the Desert Knowledge Australia Solar Centre(DKASC)in Alice *** results indicate the proposed hybrid SDS and WPT-IBBO-DNM model has the lowest error of any of the benchmark models and hence has the potential to considerably enhance the accuracy of solar power forecasting(PVPF).

关键词： Dendritic neural model improved biogeography-based optimization photovoltaic power forecasting similar day selection wavelet packet transform

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Characterization of Ga-doped ZnO Nanorods Synthesized via Microemulsion Method

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Journal of Materials Science & Technology 2013年第1期29卷 39-43页

作者： Sang Kyoo lim Seong hui Hong Sung-Ho Hwang Soonhyun Kim Hyunwoong Park Division of Nano & Bio Technology Daegu Gyeongbuk Institute of Science and Technology (DGIST) School of Energy Engineering Kyungpook National University

Gallium-doped ZnO （GZO） nanorods were synthesized by microemulsion method with different types of surfactants. The phase and morphology of the above nanorods were investigated by scanning electron microscopy （SEM）, X-ray diffraction （XRD）, high resolution transmission electron microscopy （HR-TEM） and X-ray photoelectron spectroscopy （XPS）. SEM observations show that the ZnO nanorods have diameters around 70-200 nm and lengths up to several micrometers. The room temperature photoluminescence （PL） spectrum of GZO nanorods exhibited a sharp and strong ultraviolet bandgap at 383 nm and a relatively weaker emission associated with the defect level. Resistivity of GZO nanorods synthesized with sodium lauryl sulfate （SLS） and sodium benzene sulfonate （SBS） surfactants showed 2.84 Ω m and 14.2 Ω m, respectively.

关键词： Zinc oxide Nanorod Microemulsion Gallium Surfactants

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Online AUV Path Replanning Using Quantum-Behaved Particle Swarm Optimization with Selective Differential Evolution

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Computer Modeling in Engineering & Sciences 2020年第10期125卷 33-50页

作者： hui Sheng lim Christopher K.H.Chin Shuhong Chai Neil Bose National Centre for Maritime Engineering and Hydrodynamics Australian Maritime CollegeUniversity of TasmaniaLauncestonTAS7250Australia Memorial University of Newfoundland St.John’sNLA1C 5S7Canada

This paper presents an online AUV(autonomous underwater vehicle)path planner that employs path replanning approach and the SDEQPSO(selective differential evolution-hybridized quantum-behaved particle swarm optimization)algorithm to optimize an AUV mission conducted in an unknown,dynamic and cluttered ocean *** proposed path replanner considered the effect of ocean currents in path optimization to generate a Pareto-optimal path that guides the AUV to its target within minimum *** optimization was based on the onboard sensor data measured from the environment,which consists of a priori unknown dynamic obstacles and spatiotemporal *** sensor arrangements for the forward-looking sonar and horizontal acoustic Doppler current profiler(H-ADCP)were considered in 2D and 3D *** on the simulation results,the SDEQPSO path replanner was found to be capable of generating a time-optimal path that offered up to 13%reduction in travel time compared to the situation where the vehicle simply followed a path with the shortest *** proposed replanning technique also showed consistently better performance over a reactive path planner in terms of solution quality,stability,and computational *** of the replanner was verified under stochastic process using the Monte Carlo *** generated path fulfilled the vehicle’s safety and physical constraints,while intelligently exploiting ocean currents to improve the vehicle’s efficiency.

关键词： Autonomous underwater vehicle path planning particle swarm optimization sonar detection Monte Carlo methods

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Hierarchical TiO2-B nanowire@α-Fe2O3 nanothorn core-branch arrays as superior electrodes for lithium-ion microbatteries

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Nano Research 2014年第12期7卷 1797-1808页

作者： hui Xia Wen Xiong Chiew Keat lim Qiaofeng Yao Yadong Wang Jianping Xie School of Materials Science and Engineering Nanjing University of Science and Technology Nanjing 210094 China Herbert Gleiter Institute of Nanoscience Nanjing University of Science and Technology Xiaolingwei 200 Nanjing 210094 China School of Engineering Nanyang Polytechnic 180 Ang Mo Kio Ave 8 Singapore 569830 Department of Chemical & Biomolecular Engineering Faculty of Engineering National University of Singapore Singapore 117585

This paper reports a simple yet efficient method for the synthesis of hierarchical TiO2-B nanowire@α-Fe2O3 nanothorn core-branch arrays based on a stepwise hydrothermal approach. The as-fabricated hybrid arrays show impressive performance as a high-capacity anode for lithium-ion batteries. The key design in this study is a core-branch hybrid architecture, which not only provides large surface active sites for lithium ion insertion/extraction, but also enables fast charge transport owing to the reduced diffusion paths for both electrons and lithium ions. The peculiar combination of attributes of TiO2 （good structural stability） and Fe2O3 （large specific capacity） provides the hybrid array electrodes with several desirable electrochemical features： large reversible capacity （-800 mA.h.g^-1 for specific mass capacity and -750 μA.h-cm^-2 for specific areal＂ capacity）, good cycling stability, and high rate capability. The impressive electrochemical performance, together with the facile synthesis procedure, may provide an efficient platform to integrate the TiO2 nanowire@Fe2O3 nanothorn core-branch arrays as a three-dimensional thin film electrode for lithium-ion microbatteries.

关键词： TiO2-B Fe2O3 nanowire arrays hierarchicalhybrid microbatteries

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2-Hexyl-4-Pentylenic Acid(HPTA) Stimulates the Radiotherapy-induced Abscopal Effect on Distal Tumor through Polarization of Tumor-associated Macrophages

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Biomedical and Environmental Sciences 2021年第9期34卷 693-704页

作者： DUAN Wen Hua JIN Li Ya CAI Zu Chao lim David FENG Zhi hui Department of Occupational Health and Occupational Medicine School of Public HealthCheeloo College of MedicineShandong UniversityJinan 250012ShandongChina School of Health Sciences Western Sydney UniversityCampbelltown 2560Australia

Objective The aim of this study was to explore the effects of 2-hexyl-4-pentylenic acid(HPTA)in combination with radiotherapy(RT)on distant unirradiated breast *** Using a rat model of chemical carcinogen(7,12-dimethylbenz[a]anthracene,DMBA)-induced breast cancer,tumor volume was monitored and treatment response was evaluated by performing HE staining,immunohistochemistry,immunofluorescence,q RT-PCR,and western blot *** The results demonstrated that HPTA in combination with RT significantly delayed the growth of distant,unirradiated breast *** mechanism of action included tumor-associated macrophage(TAM)infiltration into distant tumor tissues,M1 polarization,and inhibition of tumor angiogenesis by IFN-γ.Conclusion The results suggest that the combination of HPTA with RT has an abscopal effect on distant tumors via M1-polarized TAMs,and HPTA may be considered as a new therapeutic for amplifying the efficacy of local RT for non-targeted breast tumors.

关键词： Breast cancer Abscopal effect 2-hexyl-4-pentylenic acid(HPTA) Radiotherapy(RT) Tumor-associated macrophages(TAMs) Polarization Angiogenesis

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Importance of proper ventilator support and pulmonary rehabilitation in obese patients with heart failure:Two case reports

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World Journal of Clinical Cases 2023年第13期11卷 3029-3037页

作者： Eun-Hee lim Sung-Hee Park Yu hui Won Physical Medicine and Rehabilitation Jeonbuk National University Medical SchoolJeonju 54907South Korea Department of Physical Medicine and Rehabilitation Jeonbuk National University Medical SchoolJeonju 54907South Korea Research Institute of Clinical Medicine of Jeonbuk National University Biomedical Research Institute of Jeonbuk National University HospitalJeonju 54907South Korea

BACKGROUND The optimal treatment for heart failure(HF)is a combination of appropriate *** the disease using only medical therapy is difficult in patients with HF,severe hypercapnia,and *** patients should first receive ventilator support followed by pulmonary rehabilitation(PR).CASE SUMMARY We report two cases in which arterial blood gas(ABG)improved and PR was possible with appropriate ventilator *** patients with extreme obesity complaining of worsening dyspnea–a 47-year-old woman and a 36-year-old man both diagnosed with HF–were hospitalized because of severe hypercapnia and *** proper medical treatment,hypercapnia and desaturation resolved in neither case,and both patients were transferred to the rehabilitation department for *** the time of the first consultation,the patients were bedridden because of *** demand was successfully reduced once noninvasive ventilation was *** the patients’dyspnea gradually improved to the point where they could be weaned off the ventilator during the daytime,they started engaging in functional training and aerobic *** 4 mo of followup,both patients were able to perform activities of daily living and maintain their lower body weight and normalized ABG *** Symptoms of patients with obesity and HF may improve once ABG levels are normalized through ventilator support and implementation of PR.

关键词： Noninvasive ventilation Heart failure Obesity Rehabilitation Dyspnea Case report

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