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Current Status and Future Development of Quantum Computation

Li Xiaowei, Fu Xiang, Yan Fei, Zhong Youpeng, Lu Chaoyang, Zhang Junhua, He Yu, Yu Shi, Lu Dawei, Xin Tao, Chen Jilei, Lin Benchuan, Zhang Zhensheng, Liu Song, Chen Yuanzhen, Yu Dapeng

Strategic Study of CAE 2022, Volume 24, Issue 4,   Pages 133-144 doi: 10.15302/J-SSCAE-2022.04.016

Abstract: Section 3 presents the software and control system architectures for quantum computation.computation system.The organization of the quantum measurement and control system and the software-hardware interface isMachines) have launched second-generation quantum measurement and control system products, and domesticQuantum software should be tightly connected with the quantum control system architecture, while the

Keywords： quantum computation     quantum algorithm     control system of quantum computation     quantum software     superconductingquantum computation     distributed quantum computation     trapped-ion quantum computation     silicon-basedquantum computation     photonic quantum computation     neutral atom quantum computation     nitrogen-vacancycolor center in diamond     nuclear magnetic resonance quantum computation     quantum computation with spinwave     topological quantum computation    

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Shear wall layout optimization of tall buildings using Quantum Charged System Search

Siamak TALATAHARI, Mahdi RABIEI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1131-1151 doi: 10.1007/s11709-020-0660-1

Abstract: In this paper, Quantum Charged System Search (QCSS) algorithm is presented as a new optimization methodand used to improve the convergence capability of the original Charged System Search.Since the design of the lateral system plays a major role in the performance of the tall buildings, this

Keywords： Quantum Charged System Search     shear wall     layout optimization     tall buildings    

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Improving hole transfer of boron nitride quantum dots modified PDI for efficient photodegradation

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 11,   Pages 1718-1727 doi: 10.1007/s11705-023-2319-7

Abstract: Herein, an effective and robust photocatalyst perylene-3,4,9,10-tetracarboxylic diamide/boron nitride quantum

Keywords： PDI     boron nitride     quantum dots     photocatalysis     hole transfer    

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QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1,   Pages 25-36 doi: 10.1007/s11709-022-0908-z

Abstract: However, the TBM control parameters set based on operator experience may not necessarily be suitableHence, a method to optimize TBM control parameters using an improved loss function-based artificial neuralnetwork (ILF-ANN) combined with quantum particle swarm optimization (QPSO) is proposed herein.

Keywords： tunnel boring machine     control parameter optimization     quantum particle swarm optimization     artificial    

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Computation and investigation of mode characteristics in nonlinear system with tuned/mistuned contact

Houxin SHE, Chaofeng LI, Qiansheng TANG, Hui MA, Bangchun WEN

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 133-150 doi: 10.1007/s11465-019-0557-7

Abstract: This study derived a novel computation algorithm for a mechanical system with multiple friction contactinterfaces that is well-suited to the investigation of nonlinear mode characteristic of a coupling systemThereafter, the computed nonlinear parameters are applied to rebuild the matrices of the coupling systemLastly, the derived method is applied to a cycle symmetry system, which represents a shaft–disk–bladesystem subjected to dry friction.

Keywords： coupling vibration     nonlinear mode     original algorithm     contact interface    

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Design and Implementation of Intelligent Risk Control Platform Based on Big Data

Zhang Ming, Liu Pei

Strategic Study of CAE 2020, Volume 22, Issue 6,   Pages 111-120 doi: 10.15302/J-SSCAE-2020.06.015

Abstract: To help banks accelerate the establishment of risk control platforms in the era of digital economy, thisstudy proposes an overall framework of an intelligent risk control platform with “five layersproduction deployment domain and a business operation domain, which considers both the stability of systemsupport for risk control experts in risk control operation, data analysis, model design, and rule adjustmentFinally, using the intelligent risk control platform deployed by a financial institution as an example

Keywords： risk control，big data，machine learning，real-time computation，financial industry    

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Current Status and Future Development of Quantum Cryptographic Protocols

Zhang Xue, Gao Fei, Qin Sujuan, Zhang Ping

Strategic Study of CAE 2022, Volume 24, Issue 4,   Pages 145-155 doi: 10.15302/J-SSCAE-2022.04.015

Abstract: authentication, two-party secure computation, and quantum private query, and summarizes the problemsFor example, Qiu et al. proposed a QDS protocol for sensitive data access control 《7 Quantum two-party secure computation protocolAt the application level, a new cryptographic system combining quantum and classical cryptography iscryptography, it is imperative to develop a new cryptographic system that combines quantum and classical

Keywords： quantum cryptography     protocols     quantum key distribution     quantum digital signature     quantum private    

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Research Progress and Key Technologies of Quantum Network Systems

Li Jing, Gao Fei, Qin Sujuan, Wen Qiaoyan, Zhang Ping

Strategic Study of CAE 2023, Volume 25, Issue 6,   Pages 80-95 doi: 10.15302/J-SSCAE-2023.06.010

Abstract:

The rapid development of quantum information has brought new opportunitiesAs one of the popular research directions in the field of quantum information, quantum networks aim toThe study of quantum networks holds great significance in advancing the practicality of quantumcategorizes quantum networks into three types: quantum cryptography, quantum cloud computing, and quantum Overall, the development of quantum networks is still in the primary stage.

Keywords： quantum information     quantum network     quantum cryptography network     quantum cloud computing network     quantum teleportation network    

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HIGH-PERFORMANCE COMPUTATION AND ARTIFICIAL INTELLIGENCE IN PESTICIDE DISCOVERY: STATUS AND OUTLOOK

Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 1,   Pages 150-154 doi: 10.15302/J-FASE-2021419

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Spectral element modeling based structure piezoelectric impedance computation and damage identification

Zhigang GUO, Zhi SUN

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 4,   Pages 458-464 doi: 10.1007/s11709-011-0133-7

Abstract: This paper presents a numerical simulation study on electromechanical impedance technique for structural damage identification. The basic principle of impedance based damage detection is structural impedance will vary with the occurrence and development of structural damage, which can be measured from electromechanical admittance curves acquired from PZT patches. Therefore, structure damage can be identified from the electromechanical admittance measurements. In this study, a model based method that can identify both location and severity of structural damage through the minimization of the deviations between structural impedance curves and numerically computed response is developed. The numerical model is set up using the spectral element method, which is promised to be of high numerical efficiency and computational accuracy in the high frequency range. An optimization procedure is then formulated to estimate the property change of structural elements from the electric admittance measurement of PZT patches. A case study on a pin-pin bar is conducted to investigate the feasibility of the proposed method. The results show that the presented method can accurately identify bar damage location and severity even when the measurements are polluted by 5% noise.

Keywords： PZT     piezoelectric impedance     optimization     spectral element     damage identification    

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Long-lasting photoluminescence quantum yield of cesium lead halide perovskite-type quantum dots

Yonghyun Kim, Huiwen Liu, Yi Liu, Boa Jin, Hao Zhang, Wenjing Tian, Chan Im

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 1,   Pages 187-197 doi: 10.1007/s11705-020-1931-z

Abstract: Cesium lead halide perovskite (CsPbX , X= Cl, Br, I) quantum dots (QDs) and their partly Mn -substitutedtype QDs stocked for>50 d under dark ambient conditions by using excitation wavelength-dependent PL quantumIt turns out that the Mn -substituted QDs exhibited long-lasting PL quantum efficiencies, while the unsubstituted

Keywords： quantum dots     cesium lead halide perovskite     time-resolved photoluminescence     PL quantum yield     QD aggregates    

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An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 237-250 doi: 10.1007/s11705-021-2058-6

Abstract: Advanced model-based control strategies, e.g., model predictive control, can offer superior control ofcontinuous-time multiple-input multiple-output system models for nonlinear model predictive control.This procedure successfully identified system models that enabled effective control in both servo andThis demonstration of how such system models could be identified for nonlinear model predictive controlrapid and stable control over wider operating ranges.

Keywords： nonlinear model predictive control     black-box modeling     continuous-time system identification     machinelearning     industrial applications of process control    

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Iteration framework for solving mixed lubrication computation problems

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 635-648 doi: 10.1007/s11465-021-0632-8

Abstract: The general discrete scheme of time-varying Reynolds equation loses the information of the previous step, which makes it unreasonable. A discretization formula of the Reynolds equation, which is based on the Crank–Nicolson method, is proposed considering the physical message of the previous step. Gauss–Seidel relaxation and distribution relaxation are adopted for the linear operators of pressure during the numerical solution procedure. In addition to the convergent criteria of pressure distribution and load, an estimation framework is developed to investigate the relative error of the most important term in the Reynolds equation. Smooth surface with full contacts and mixed elastohydrodynamic lubrication is tested for validation. The asperity contact and sinusoidal wavy surface are examined by the proposed discrete scheme. Results show the precipitous decline in the boundary of the contact area. The relative error suggests that the pressure distribution is reliable and reflects the accuracy and effectiveness of the developed method.

Keywords： mixed lubrication     discretization formula     relative error     Reynolds equation     asperity    

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Exploration of Strategies for Chronic Disease Prevention and Control and Relevant System Development

Long-de Wang

Frontiers of Engineering Management 2015, Volume 2, Issue 1,   Pages 2-12 doi: 10.15302/J-FEM-2015002

Abstract: chronic diseases in China, analyzing the key issues and key factors in chronic disease prevention and controlthis paper proposes the following recommendations as strategies for chronic disease prevention and controland development of relevant system, which China should adopt.Implementation and development of “integrated medicine” in system is necessary.and requirements will then improve the performance and efficiency in chronic disease prevention and control

Keywords： chronic disease prevention and control     strategy and system construction    

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Design and mechanism insight on SiC quantum dots sensitized inverse opal TiO with superior photocatalytic

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 12,   Pages 1913-1924 doi: 10.1007/s11705-023-2350-8

Abstract: The combination of SiC quantum dots sensitized inverse opal TiO2 photocatalyst is designedFrom various spectroscopic techniques, it is found that electrons transfer directionally from SiC quantumTherefore, the stability and non-toxicity of SiC quantum dots sensitized inverse opal TiO2

Keywords： inverse opal TiO2     silicon carbide quantum dots     quantum dot sensitized photocatalyst     type-II    

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Title Author Date Type Operation

Current Status and Future Development of Quantum Computation

Li Xiaowei, Fu Xiang, Yan Fei, Zhong Youpeng, Lu Chaoyang, Zhang Junhua, He Yu, Yu Shi, Lu Dawei, Xin Tao, Chen Jilei, Lin Benchuan, Zhang Zhensheng, Liu Song, Chen Yuanzhen, Yu Dapeng

Journal Article

Shear wall layout optimization of tall buildings using Quantum Charged System Search

Siamak TALATAHARI, Mahdi RABIEI

Journal Article

Improving hole transfer of boron nitride quantum dots modified PDI for efficient photodegradation

Journal Article

QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Journal Article

Computation and investigation of mode characteristics in nonlinear system with tuned/mistuned contact

Houxin SHE, Chaofeng LI, Qiansheng TANG, Hui MA, Bangchun WEN

Journal Article

Design and Implementation of Intelligent Risk Control Platform Based on Big Data

Zhang Ming, Liu Pei

Journal Article

Current Status and Future Development of Quantum Cryptographic Protocols

Zhang Xue, Gao Fei, Qin Sujuan, Zhang Ping

Journal Article

Research Progress and Key Technologies of Quantum Network Systems

Li Jing, Gao Fei, Qin Sujuan, Wen Qiaoyan, Zhang Ping

Journal Article

HIGH-PERFORMANCE COMPUTATION AND ARTIFICIAL INTELLIGENCE IN PESTICIDE DISCOVERY: STATUS AND OUTLOOK

Journal Article

Spectral element modeling based structure piezoelectric impedance computation and damage identification

Zhigang GUO, Zhi SUN

Journal Article

Long-lasting photoluminescence quantum yield of cesium lead halide perovskite-type quantum dots

Yonghyun Kim, Huiwen Liu, Yi Liu, Boa Jin, Hao Zhang, Wenjing Tian, Chan Im

Journal Article

An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

Journal Article

Iteration framework for solving mixed lubrication computation problems

Journal Article

Exploration of Strategies for Chronic Disease Prevention and Control and Relevant System Development

Long-de Wang

Journal Article

Design and mechanism insight on SiC quantum dots sensitized inverse opal TiO with superior photocatalytic

Journal Article