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Tsinghua Science and Technology 2024年第3期29卷 874-882页

作者： Chao Wang Qiaoyun Hu Haonan Yao Sumin Wang Zhi Pei Joint International Research Laboratory of specialty Fiber Optics and Advanced Communication Shanghai UniversityShanghai 200444China

This work is the first to determine that a real quantum computer(including generalized and specialized)can decipher million-scale RSA relying solely on quantum algorithms,showing the real attack potential of D-Wave *** influence of different column widths on RSA factorization results is studied on the basis of a multiplication table,and the optimal column method is determined by traversal *** traversal experiment of integer factorization within 10000 shows that the local field and coupling coefficients are 75%–93%lower than the research of Shanghai University in 2020 and more than 85%lower than that of Purdue University in *** low Ising model parameters are crucial to reducing the hardware requirements,prompting factoring 1245407 on the D-Wave 2000Q real machine.D-Wave advantage already has more than 5000 qubits and will be expanded to 7000 qubits during 2023–2024,with remarkable improvements in decoherence and *** machine is expected to promote the solution of large-scale combinatorial optimization *** of the contributions of this paper is the discussion of the long-term impact of D-Wave on the development of post-quantum cryptography standards.

关键词： quantum annealing RSA D-Wave 2000Q post-quantum cryptography

Research on recognition algorithm for gesture page turning based on wireless sensing

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Intelligent and Converged Networks 2023年第1期4卷 15-27页

作者： Lin Tang Sumin Wang Meng Zhou Yinfan Ding Chao Wang Shengbo Wang Zhen Sun Jie Wu Key Laboratory of specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced CommunicationShanghai Institute for Advanced Communication and Data ScienceSchool of Communication and Information EngineeringShanghai UniversityShanghai 200444China School of Electronic Information Engineering Gannan University of Science and TechnologyGanzhou 341000China Affiliated High School of Peking University Beijing 100086China Peking University&national Engineering Laboratory for Big Data Analysis and Applications Beijing 100871China Department of Computer and Information Sciences Temple UniversityPhiladelphiaPA 19122-6096USA

When a human body moves within the coverage range of Wi-Fi signals,the reflected Wi-Fi signals by the various parts of the human body change the propagation path,so analysis of the channel state data can achieve the perception of the human *** extracting the Channel State Information(CSI)related to human motion from the Wi-Fi signals and analyzing it with the introduced machine learning classification algorithm,the human motion in the spatial environment can be *** the basis of this theory,this paper proposed an algorithm of human behavior recognition based on CSI wireless sensing to realize deviceless and over-the-air slide *** algorithm collects the environmental information containing upward or downward wave in a conference room scene,uses the local outlier factor detection algorithm to segment the actions,and then the time domain features are extracted to train Support Vector Machine(SVM)and eXtreme Gradient Boosting(XGBoost)classification *** experimental results show that the average accuracy of the XGBoost module sensing slide flipping can reach 94%,and the SVM module can reach 89%,so the module could be extended to the field of smart classroom and significantly improve speech efficiency.

关键词： Wi-Fi signal Channel State Information(CSI) wireless sensing human behavior recognition

Exposure Effects of Terahertz Waves on Primary Neurons and Neuron-like Cells Under Nonthermal Conditions

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Biomedical and Environmental Sciences 2019年第10期32卷 739-754页

作者： TAN Sheng Zhi TAN Peng Cheng LUO Lan Qing CHI Yun Liang YANG Zi Long ZHAO Xue Long ZHAO Li DONG Ji ZHANG Jing YAO Bin Wei XU Xin Ping TIAN Guang CHEN Jian Kui WANG Hui PENG Rui Yun Beijing Institute of Radiation Medicine Beijing 100850China School of Pharmaceutical Sciences Tsinghua UniversityBeijing 100084China Inner Mongolia University for the nationalities Yakeshi 022150Inner MongoliaChina General Hospital of Northern Theater Command Shenyang 110000LiaoningChina State Key Laboratory of Pathogen and Biosecurity Beijing Institute of Microbiology and EpidemiologyBeijing 100071China Fifth Medical Center Chinese People's Liberation Army General HospitalBeijing 100071China

Objective This study aimed to explore the potential effects of terahertz(THz) waves on primary cultured neurons from 4 rat brain regions(hippocampus, cerebral cortex, cerebellum, and brainstem)and 3 kinds of neuron-like cells(MN9 D, PC12, and HT22 cells) under nonthermal *** THz waves with an output power of 50(0.16 THz) and 10(0.17 THz) m W with exposure times of 6 and 60 min were used in this study. Analysis of temperature change, neurite growth, cell membrane roughness, micromorphology, neurotransmitters and synaptic-related proteins(SYN and PSD95) was used to evaluate the potential *** Temperature increase caused by the THz wave was negligible. THz waves induced significant neurotransmitter changes in primary hippocampal, cerebellar, and brainstem neurons and in MN9 D and PC12 cells. THz wave downregulated SYN expression in primary hippocampal neurons and downregulated PSD95 expression in primary cortical *** Different types of cells responded differently after THz wave exposure, and primary hippocampal and cortical neurons and MN9 D cells were relatively sensitive to the THz waves. The biological effects were positively correlated with the exposure time of the THz waves.

关键词： Neuron brainstem cortex

MOF-derived multi-interface carbon-based composites with enhanced polarization loss and efficient microwave absorption

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International Journal of Smart and Nano Materials 2022年第3期13卷 465-480页

作者： Hongjiao Qu Peng Zheng Tao Wang Xingyu Yu Junjie Pan Xiaoli Fan Tengfei Zhang Xin Sun Jianping He College of Materials Science and Technology Centre for HydrogenergyJiangsu Key Laboratory of Materials and Technology for Energy ConversionNanjing University of Aeronautics and AstronauticsNanjingP.R.China AVIC Jiangxi Hongdu Aviation Industry Group Corporation LimitedJiangxiP.R.China School of Materials Science and Engineering Nanjing Institute of TechnologyNanjingP.R.China Science and Technology on Electromagnetic Scattering Laboratory BeijingP.R.China

Metal-organic framework materials(MOFs)have been widely stu-died because of their adjustable composition and controllable structure in the field of microwave absorption(MA).Therein,Prussian blue analogs(PBA)have attracted the attention of researchers with ultra-high metal ***,the attenua-tion ability of microwave for PBA-based composites is still unsatis-factory up to ***,the NiFe/CoFe@C composites were prepared by carbonizing polymetallic PBA(NiCoFe PBA)materials in this work,and the influence of different metal alloy components on MA was explored by adjusting the ratio of metal ions(Ni^(2+)/Co^(2+)).Moreover,the NiFe/CoFe@C composites have rich interfaces and enhance the polarization loss due to the introduction of Ni and it has an optimal performance at 2.7 mm that is the reflection loss(RL)is−41.49 dB and an effective absorption bandwidth(EAB)is 7.12 GHz with 1/1(Ni^(2+)/Co^(2+)).The above data provides a research idea for obtaining light and efficient absorbers.

关键词： Prussian blue analogs carbon-based composites metal alloy polarization loss microwave absorption

A new viewpoint and model of neural signal generation and transmission: Signal transmission on myelinated neuron

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Chinese Physics B 2020年第10期29卷 578-587页

作者： Zuoxian Xiang Chuanxiang Tang Lixin Yan Chao Chang Guozhi Liu Department of Engineering Physics Tsinghua UniversityBeijing 100084China innovation Laboratory of Terahertz Biophysics National Innovation Institute of Defense TechnologyBeijing 100071China

Based on our previous work, we study the problem of neural signal transmission of myelinated neurons. We found that the transmembrane ion current at Ranvier's node acts as an energy supplement. In addition, the length of the myelin sheath has an upper limit of lT. Above this upper limit, the neural signal will not be effectively transmitted. In the range of normal physiological parameters, lT is on the order of mm. Finally, the effect of temperature on the transmission of nerve signals is investigated. temperatures that are too high and too low are not conducive to the conduction of nerve signals.

关键词： THz myelinated neuron signal transmission

Premixed Gas Mixing Performance of Lobe-Forced Mixer at Different Configurations

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Journal of Thermal Science 2022年第3期31卷 895-906页

作者： WANG Yulan MU Yong LU Haitao FAN Xiongjie XU Gang Key Laboratory of Light-Duty Gas-Turbine Institute of Engineering ThermophysicsChinese Academy of SciencesBeijing100190China University of Chinese Academy of Sciences Beijing100049China

The mixing process of pre-evaporated afterburner fuel at different positions upstream of the mixers and airflow was numerically simulated in a straight channel,with semicircular mixer,rectangular mixer,triangular mixer and chevron mixer *** effects of vortices generated by mixers on fuel distribution and mixing characteristics were *** results show that:(1)The scale,strength and breaking speed of the streamwise vortex and the development speed of normal vortex are different downstream of the four mixers,which accelerate the mixing process of fuel and airflow.(2)The fuel distribution at the outlet of mixers,downstream of straight section and downstream of the crest and trough is mainly affected by secondary flow,the streamwise vortex and the normal vortex respectively.(3)The fuel mixing uniformity downstream of the four mixers is increased by about 80%compared with no *** the limited distance,the mixing performance of chevron mixer is the best,while the triangular mixer is the worst Rectangular mixer has the fastest mixing speed and superior comprehensive *** addition,the effect of the channel wall on the mixing process downstream of mixers cannot be ignored.

关键词： afterburner mixing performance lobe-forced mixer fuel vortex

Research progress of quantum artificial intelligence in smart city

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Intelligent and Converged Networks 2024年第2期5卷 116-133页

作者： Sumin Wang Ning Wang Tongyu Ji Yiyun Shi Chao Wang the Joint International Research Laboratory of specialty Fiber Optics and Advanced Communication Shanghai UniversityShanghai 200444China School of Information Engineering Ganzhou Key Laboratory of Cloud Computing and Big Data ResearchGannan University of Science and TechnologyGanzhou 341000China

The rapid accumulation of big data in the Internet era has gradually decelerated the progress of Artificial Intelligence(AI).As Moore’s Law approaches its limit,it is imperative to break the constraints that are holding back artificial *** computing and artificial intelligence have been advancing along the highway of human civilization for many years,emerging as new engines driving economic and social *** article delves into the integration of quantum computing and artificial intelligence in both research and *** introduces the capabilities of both universal quantum computers and special-purpose quantum computers that leverage quantum *** discussion further explores how quantum computing enhances classical artificial intelligence from four perspectives:quantum supervised learning,quantum unsupervised learning,quantum reinforcement learning,and quantum deep *** an effort to address the limitations of smart cities,this article explores the formidable potential of quantum artificial intelligence in the realm of smart *** does so by examining aspects such as intelligent transportation,urban operation assurance,urban planning,and information communication,showcasing a plethora of practical achievements in the *** the foreseeable future,Quantum Artificial Intelligence(QAI)is poised to bring about revolutionary development to smart *** urgency lies in developing quantum artificial intelligence algorithms that are compatible with quantum computers,constructing an efficient,stable,and adaptive hybrid computing architecture that integrates quantum and classical computing,preparing quantum data as needed,and advancing controllable qubit hardware equipment to meet actual *** ultimate goal is to shape the next generation of artificial intelligence that possesses common sense cognitive abilities,robustness,excellent generalization capabilities,and interpretability.

关键词： quantum artificial intelligence smart city D-Wave quantum computer

Spanning tree trajectory optimization in the galaxy space

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Astrodynamics 2021年第1期5卷 27-37页

作者： Tian-Jiao Zhang Dietmar Wolz Hong-Xin Shen Ya-Zhong Luo State Key Laboratory of Astronautic Dynamics Xi’an Satellite Control CenterXi’an 710043China University of Jena Jena 07737Germany national University of Defense Technology Changsha 410073China

The 10th edition of the Global Trajectory Optimization Competition considered the problem of the galaxy settlement wherein competitors from all over the world were expected to design the trajectories of different settler vessels to maximize the given multi-faceted merit *** synthesis methods used by the winning team,led jointly by the national University of Defense Technology(NUDT)and Xi’an Satellite Control Center(XSCC),are described along with a greedy search method and the improved solution obtained by University of ***,we presented a layout-first topology-second approach that allows an efficient settlement tree search guided by the pre-specified ideal spatial *** also explained how the problem of constructing settlement trees can be modeled as the widely studied minimum spanning tree ***,University of Jena explored the possibility that a greedy search can generate even better settlement trees,based on the same initial conditions,when compared to that of the winning solution.

关键词： trajectory optimization Settlers of the Galaxy minimum spanning tree ant colony optimization greedy search

Factoring larger integers with fewer qubits via quantum annealing with optimized parameters

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Science China(Physics,Mechanics & Astronomy) 2019年第6期62卷 5-12页

作者： WangChun Peng BaoNan Wang Feng Hu YunJiang Wang XianJin Fang XingYuan Chen Chao Wang Key Laboratory of specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai Institute for Advanced Communication and Data ScienceShanghai University State Key Laboratory of Integrated Services Networks (ISN) Xidian University School of Computer Science and Technology Engineering Anhui University of Science and Technology State Key Laboratory of Cryptology

RSA cryptography is based on the difficulty of factoring large integers, which is an NP-hard(and hence intractable) problem for a classical computer. However, Shor's algorithm shows that its complexity is polynomial for a quantum computer, although technical difficulties mean that practical quantum computers that can tackle integer factorizations of meaningful size are still a long way away. Recently, Jiang et al. proposed a transformation that maps the integer factorization problem onto the quadratic unconstrained binary optimization(QUBO) model. They tested their algorithm on a D-Wave 2000 Q quantum annealing machine, raising the record for a quantum factorized integer to 376289 with only 94 qubits. In this study, we optimize the problem Hamiltonian to reduce the number of qubits involved in the final Hamiltonian while maintaining the QUBO coefficients in a reasonable range, enabling the improved algorithm to factorize larger integers with fewer qubits. Tests of our improved algorithm using D-Wave's hybrid quantum/classical simulator qbsolv confirmed that performance was improved, and we were able to factorize 1005973, a new record for quantum factorized integers, with only 89 qubits. In addition, our improved algorithm can tolerate more errors than the original one. Factoring 1005973 using Shor's algorithm would require about 41 universal qubits,which current universal quantum computers cannot reach with acceptable accuracy. In theory, the latest IBM Q System OneTM(Jan. 2019) can only factor up to 10-bit integers, while the D-Wave have a thousand-fold advantage on the factoring scale. This shows that quantum annealing machines, such as those by D-Wave, may be close to cracking practical RSA codes, while universal quantum-circuit-based computers may be many years away from attacking RSA.

关键词： integer factorization quantum annealing QUBO D-Wave

Integrated medical resource consumption stratification in hospitalized patients:an Auto Triage Management model based on accurate risk,cost and length of stay prediction

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Science China(Life Sciences) 2022年第5期65卷 988-999页

作者： Qin Zhong Zongren Li Wenjun Wang Lei Zhang Kunlun He Medical Big Data Research Center Chinese PLA General HospitalBeijing 100853China Medical Artificial Intelligence Research Center Chinese PLA General HospitalBeijing 100853China Bio-engineering Research Center Chinese PLA General HospitalBeijing 100039China Department of Cardiology Fourth Medical Center of Chinese PLA General HospitalBeijing 100048China Key Laboratory of Ministry of Industry and Information Technology of Biomedical Engineering and Translational Medicine Chinese PLA General HospitalBeijing 100048China China-Australia Joint Research Center for Infectious Diseases School of Public HealthXi’an Jiaotong University Health Science CenterXi’an 710061China

Triage management plays important roles in hospitalized patients for disease severity stratification and medical burden *** progression risks have been extensively researched for numbers of diseases,other crucial indicators that reflect patients’economic and time costs have not been systematically *** address the problems,we developed an automatic deep learning based Auto Triage Management(ATM)Framework capable of accurately modelling patients’disease progression risk and health economic *** on them,we can first discover the relationship between disease progression and medical system cost,find potential features that can more precisely aid patient triage in resource allocation,and allow treatment plan searching that has cured *** ATM in COVID-19,we built a joint model to predict patients’risk,the total length of stay(Lo S)and cost when at-admission,and remaining Lo S and cost at a given hospitalized time point,with C-index0.930 and 0.869 for risk prediction,mean absolute error(MAE)of 5.61 and 5.90 days for total Lo S prediction in internal and external validation data.

关键词： patient triage AutoML electronic medical records