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Near-term applications of superconducting digital quantum simulation

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2024年第10期25卷 854-876页

作者： Yunyan YAO zhen wang Zhejiang Key Laboratory of Micro-Nano Quantum Chips and Quantum Control School of PhysicsZhejiang UniversityHangzhou 310027China ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang UniversityHangzhou 311200China

Quantum simulation,as a practical application of noisy quantum computing,has aided the study of exotic quantum matters and the implementation of algorithms that outperform classical *** qubits,one of the most promising candidates for realizing universal quantum computing,possess state-of-the-art features like easy integration of qubits,long coherence time,and high-fidelity single-and two-qubit *** characteristics have enabled applications of digital quantum simulation in the fields of physics,chemistry,and computer *** this review,we first present the basic concepts of superconducting qubits,quantum gates,and digital quantum *** also explore recent progress in digital quantum simulations using superconducting qubits,especially in relation to quantum chemistry,quantum matters,combinatorial optimization,and quantum machine ***,we address the current challenges of digital quantum simulation with superconducting qubits,and provide a perspective on the future of the field.

关键词： Superconducting quantum circuits Digital quantum simulation Quantum chemistry Quantum matters

Number of Solitons Emerged in the Initial Profile of Shallow Water Using Convolutional Neural Networks

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Journal of Systems Science & Complexity 2024年第2期37卷 463-479页

作者： wang zhen CUI Shikun School of Mathematical Sciences Dalian University of TechnologyDalian 116024China School of Mathematical Sciences Beihang UniversityBeijing 100191China

The soliton resolution conjecture proposes that the initial value problem can evolve into a dispersion part and a soliton ***,the problem of determining the number of solitons that form in a given initial profile remains unsolved,except for a few specific *** this paper,the authors use the deep learning method to predict the number of solitons in a given initial value of the Korteweg-de Vries(KdV)*** leveraging the analytical relationship between Asech^(2)(x)initial values and the number of solitons,the authors train a Convolutional Neural Network(CNN)that can accurately identify the soliton count from spatio-temporal *** trained neural network is capable of predicting the number of solitons with other given initial values without any additional *** extensive calculations,the authors demonstrate the effectiveness and high performance of the proposed method.

关键词： Convolutional neural network deep learning method KdV equation soliton

Dispersion features of pollutants in a compound channel with vegetated floodplains

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Journal of Hydrodynamics 2022年第6期34卷 1095-1105页

作者： Yan-fang Zhao Jing-jing Fan Wei-jie wang Han-qing Zhao Fei Dong zhen Han Shi-yan wang School of Water Conservancy and Hydroelectric Power Hebei University of EngineeringHandan056038China State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower ResearchBeijing100038China China Three Gorges Corporation Wuhan430010China National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety Nanjing210024China

The planting of the vegetation on the floodplain helps the ecological restoration,which is the main form of the river’s ecological ***,the current research of the river dynamics focuses on the water movement under a compound channel with the vegetated *** simulated vegetation species are selected in this paper for the flume simulation experiments of the floodplain vegetation,and the compound channel is divided into three subregions in the transverse *** Navier-Stokes equation and the eddy viscosity theory are applied to obtain the transverse distribution of the depth-averaged velocity and the results agree well with the experimental *** paper proposes a new method based on the analytical solution of the flow velocity distribution to calculate the average flow velocity in each *** results can effectively simulate the average flow velocity of the measured *** description of the pollutant transport processes in a moving stream requires a refined determination of the dispersion coefficients in the compound *** process of the pollutant concentrations in each zone and the reasons for their occurrence are elucidated on the basis of the experimental ***,the measured values of the longitudinal dispersion coefficients are obtained by the“routing procedure,”and a two-zone model of the pollutant dispersion is constructed on the basis of the hydrodynamic *** prediction method for the longitudinal dispersion coefficients is also *** the predicted and measured section average flow velocities to the two-zone model to predict the longitudinal dispersion coefficient,and the average relative errors are only 4.17%,7.15%,*** result indicates that the two-zone model can effectively predict the longitudinal dispersion *** calculation methods for the longitudinal dispersion coefficients from—various studies are *** results reveal that the p

关键词： Compound channel floodplain vegetation velocity distribution pollutant transport dispersion coefficient

Sub-nanometer structured silicon-carbon composite nanolayers armoring on graphite for fast-charging and high-energy-density lithium-ion batteries

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Rare Metals 2023年第11期42卷 3692-3704页

作者： zhen-Wei Li Mei-Sheng Han jie Yu Songshan Lake Materials Laboratory Dongguan523808China Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic Systems Shenzhen Engineering Lab for Supercapacitor MaterialsSchool of Material Science and EngineeringHarbin Institute of TechnologyShenzhenShenzhen 518055China Department of Mechanical and Energy Engineering Southern University of Science and TechnologyShenzhen518055China

Silicon/carbon composites are promising alternatives to current graphite anodes in commercial lithiumion batteries(LIBs)because of their high capacity and excellent ***,the unsatisfactory fastcharging capability and cycle stability of Si/C composites caused by slow charge transport capability and huge volume change under industrial electrode conditions severely hamper their ***,a novel Si/C anode was fabricated by homogeneously depositing amorphous C-Si nanolayers on graphite(C-Si@graphite).C-Si nanolayers with uniformly dispersed sub-nanometer Si particles in 3D carbon skeleton significantly boost electron and Li-ion transport and efficiently relieve Si's agglomeration and volume *** a result,the tailored C-Si@graphite electrodes show an excellent rate capacity(760.3 mAh·g^(-1)at 5.0C)and long cycle life of over 1000 cycles at 1.0C and800 cycles at 2.0C under industrial electrode *** addition,the assembled full cells(C-Si@graphite,anode;Li[Ni_(0.8)Co_(0.1)Mn_(0.1)]O_(2),cathode)present superior fastcharging capability(240.4 Wh·kg^(-1),charging for16.2 min,3.0C)and long cycle life(80.7%capacity retention after 500 cycles at 1.0C),demonstrating the massive potential of C-Si@graphite for practical application.

关键词： Si/C anode Sub-nanometer Si Fast-charging capability Lithium-ion batteries(LIBs)

Improved genetic algorithm based on reinforcement learning for electric vehicle front-end structure optimization design

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Advances in Manufacturing 2024年第3期12卷 556-575页

作者： Feng-Yao Lyu zhen-Fei Zhan Gui-Lin Zhou Ju wang jie Li Xin He Chongqing Jiaotong University Chongqing400074People’s Republic of China Changan Automobile Co.Ltd. Chongqing404100People’s Republic of China

The structural optimization of electric vehicles involves numerous design variables and constraints,making it a complex engineering optimization task over the past *** population-based evolutionary algorithms encounter issues such as converging to local optima and lacking population diversity when tackling such optimization ***,the solutions obtained for the optimization may be flawed or *** address these problems,an improved genetic algorithm(GA)based on reinforcement learning is proposed in this *** proposed method introduces a population delimitation method based on individual fitness *** population is divided into two parts:the excellent population and the ordinary population,and different selection and cross-mutation methods are applied to each part *** efficient crossover and mutation methods are then applied to the ordinary population to enhance the generation of excellent ***,the proposed approach replaces the traditional fixed crossover and mutation rates with a dynamic selection method based on reinforcement learning to enhance optimization efficiency.A markov decision process model is constructed based on GA environment in this *** population state determination method and reward method are designed for reinforcement learning in the GA environment,dynamically selecting the most appropriate genetic parameters based on the current state of the ***,the uncertainty in the manufacturing process is introduced into the optimization problem and the case study results demonstrate that the proposed reinforcement learning-based GA significantly outperforms other evolutionary algorithms when applied to solving the structural optimization of electric vehicles.

关键词： Structure optimization Genetic algorithm(GA) Q-learning

On Caputo-Type Cable Equation: Analysis and Computation

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Computer Modeling in Engineering & Sciences 2020年第4期123卷 353-376页

作者： zhen wang Department of Mathematics Shanghai UniversityShanghai200444China

In this paper,a special case of nonlinear time fractional cable equation is *** the equation defined on a bounded domain,the existence,uniqueness,and regularity of the solution are firstly ***,it is numerically studied via the weighted and shifted Grünwald difference(WSGD)methods/the local discontinuous Galerkin(LDG)finite element *** derived numerical scheme has been proved to be stable and convergent with order O(t2+hk+1),wheret,h,k are the time stepsize,the spatial stepsize,and the degree of piecewise polynomials,***,a numerical experiment is presented to verify the theoretical analysis.

关键词： Fractional cable equation regularity local discontinuous Galerkin method stability convergence

Hot deformation behavior of Super304H austenitic heat resistant steel

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International Journal of Minerals,Metallurgy and Materials 2010年第2期17卷 167-172页

作者： Shu-ping Tan zhen-hua wang Shi-chang Cheng zheng-dong Liu jie-cai Han School of Astronautics Harbin Institute of Technology Harbin 150001 China State Key Laboratory of Metastable Materials Science and Technology Yanshan University Qinhuangdao 066004 China Central Iron and Steel Research Institute Beijing 100081 China

The hot compression tests of Super304H austenitic heat resistant steel were carried out at 800-1200℃and 0.005-5 s^-1 using a Gleeble 3500 thermal-mechanical simulator,and its deformation behavior was *** results show that the flow stress of Super304H steel decreases with the decrease of strain rate and the increase of deformation temperature; the hot deformation activation energy of the steel is 485 kJ/*** hot deformation equation and the relationship between the peak stress and the deformation temperature and strain rate is *** softening caused by deformation heating cannot be neglected when both the deformation temperature and strain rate are higher.

关键词： austenitic steel heat resistant hot deformation flow stress dynamic recrystallization

Plasmon-resonant gold nanoparticles for cancer optical imaging

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Science China(Physics,Mechanics & Astronomy) 2013年第3期56卷 506-513页

作者： wang zhen Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology MoE Key Laboratory for Biomedical Photonics Department of Biomedical EngineeringHuazhong University of Science and Technology

Gold nanoparticles(AuNPs) interact with light and have strong and tunable surface plasmon resonance,which can be detected using multiple imaging *** provide an unique opportunity for their potential applications in optical imaging for early detection of *** this review,we summarized nanoparticles targeting properties for cancer,plasmon optical properties of AuNPs,application of AuNPs for cancer optical *** discussed is the safety of AuNPs.

关键词： gold nanoparticles surface plasmon resonance optical imaging cancer

Preparation and characterization of single(200)-oriented TiN thin films deposited by DC magnetron reactive sputtering

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Rare Metals 2022年第4期41卷 1380-1384页

作者： zhen-Dong wang zhen-Quan Lai Department of Physics Nanchang UniversityNanchang 330031China

Single(200)-oriented TiN thin films were deposited on quartz substrate by direct current(DC) magnetron reactive sputtering process at a wide range of substrate temperature from 200 to 600 ℃.The effects of sputtering pressure and substrate temperature on the crystalline nature,morphology,electrical and optical properties of the deposited thin films were analyzed by X-ray diffraction(XRD),atomic force microscopy(AFM),four-point resistivity test system and ultraviolet visible near-infrared(UV-Vis-NIR) spectroscopy,*** results show that single(200)-oriented TiN thin films can be obtained at a wide range of substrate temperature from 200 to 600 ℃ with the grain size increasing from 35.9 to 64.5 *** resistivity of the product is as low as95 μΩ·cm,and the value of the optical reflectance is above68 % in the near-infrared(NIR) range of 760-1500 nm.

关键词： TiN thin film DC magnetron reactive sputtering Crystal orientation Optical property