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Multi-hop quantum teleportation based on HSES via GHZ-like states

Chinese Physics B 2025年第1期34卷 60-70页

作者： She-Xiang Jiang Xiao-Long Wei Jin-Huan Li Shuai-Shuai Li School of Computer Science and Engineering Anhui University of Science and TechnologyHuainan 232001China

Implementing quantum wireless multi-hop network communication is essential to improve the global quantum network system. In this paper, we employ eight-level GHZ states as quantum channels to realize multi-hop quantum communication, and utilize the logical relationship between the measurements of each node to derive the unitary operation performed by the end node. The hierarchical simultaneous entanglement switching(HSES) method is adopted, resulting in a significant reduction in the consumption of classical information compared to multi-hop quantum teleportation(QT)based on general simultaneous entanglement switching(SES). In addition, the proposed protocol is simulated on the IBM Quantum Experiment platform(IBM QE). Then, the data obtained from the experiment are analyzed using quantum state tomography, which verifies the protocol's good fidelity and accuracy. Finally, by calculating fidelity, we analyze the impact of four different types of noise(phase-damping, amplitude-damping, phase-flip and bit-flip) in this protocol.

关键词： multi-hop quantum teleportation GHZ-like state hierarchical simultaneous entanglement swapping IBM Quantum Experiment platform quantum state tomography

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Image detection method for multi-category lesions in wireless capsule endoscopy based on deep learning models

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World Journal of Gastroenterology 2024年第48期30卷 5111-5129页

作者： Zhi-Guo Xiao Xian-Qing Chen Dong Zhang Xin-Yuan Li Wen-Xin Dai Wen-Hui Liang School of Computer Science Technology Changchun UniversityChangchun 130022Jilin ProvinceChina School of Computer Science Technology Beijing Institute of TechnologyBeijing 100811China

BACKGROUND Wireless capsule endoscopy(WCE)has become an important noninvasive and portable tool for diagnosing digestive tract diseases and has been propelled by advancements in medical imaging ***,the complexity of the digestive tract structure,and the diversity of lesion types,results in different sites and types of lesions distinctly appearing in the images,posing a challenge for the accurate identification of digestive tract *** To propose a deep learning-based lesion detection model to automatically identify and accurately label digestive tract lesions,thereby improving the diagnostic efficiency of doctors,and creating significant clinical application *** In this paper,we propose a neural network model,WCE_Detection,for the accurate detection and classification of 23 classes of digestive tract lesion ***,since multicategory lesion images exhibit various shapes and scales,a multidetection head strategy is adopted in the object detection network to increase the model's robustness for multiscale lesion ***,a bidirectional feature pyramid network(BiFPN)is introduced,which effectively fuses shallow semantic features by adding skip connections,significantly reducing the detection error *** the basis of the above,we utilize the Swin Transformer with its unique self-attention mechanism and hierarchical structure in conjunction with the BiFPN feature fusion technique to enhance the feature representation of multicategory lesion *** The model constructed in this study achieved an mAP50 of 91.5%for detecting 23 *** than eleven single-category lesions achieved an mAP50 of over 99.4%,and more than twenty lesions had an mAP50 value of over 80%.These results indicate that the model outperforms other state-of-the-art models in the end-to-end integrated detection of human digestive tract lesion *** The deep learning-based object detection network detects multiple digestive tract lesi

关键词： Human digestive tract Artificial intelligence Deep learning Wireless capsule endoscopy Object detection

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Amino-functionalized UiO-66-doped mixed matrix membranes with high permeation performance and fouling resistance

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Chinese Journal of Chemical engineering 2024年第3期67卷 68-77页

作者： Yi Zhang Di Liu Zhaoli Wang Junjian Yu Yanyin Cheng Wenjing Li Zhe Wang Hongzhe Ni Yuchao Wang School of Chemical Engineering Changchun University of TechnologyChangchun 130012China Advanced Institute of Materials Science Changchun University of TechnologyChangchun 130012China Key Laboratory of Advanced Functional Polymer Membrane Materials of Jilin Province Changchun 130012China School of Chemistry and Life Science Changchun University of TechnologyChangchun 130012China

For the reduction of bovine serum proteins from wastewater,a novel mixed matrix membrane was prepared by functionalizing the substrate material polyaryletherketone(PAEK),followed by carboxyl groups(C-SPAEKS),and then adding amino-functionalized UiO-66-NH_(2)(Am-UiO-66-NH_(2)).Aminofunctionalization of UiO-66 was accomplished by melamine,followed by an amidation reaction to immobilize Am-UiO-66-NH_(2),which was immobilized on the surface of the membrane as well as in the pore channels,which enhanced the hydrophilicity of the membrane surface while increasing the negative potential of the membrane *** nanoparticle-loaded ultrafiltration membrane has good permeation performance,with a pure water flux of up to 482.3 L·m^(-2)·h^(-1) for C-SPAEKS/AmUiO-66-NH_(2) and a retention rate of up to 98.7%for bovine serum albumin(BSA)-contaminated ***,after several hydrophilic modifications,the flux recovery of BSA contaminants by this series of membranes increased from 56.2%to 80.55%of pure *** results of ultra-filtration flux time tests performed at room temperature showed that the series of ultrafiltration membranes remained relatively stable over a test time of 300 ***,the newly developed mixed matrix membrane showed potential for high efficiency and stability in wastewater treatment containing bovine serum proteins.

关键词： Ultrafiltration Mixed matrix membranes Amino functionalization Hydrophilic modification Negatively charged

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High capacity and efficient dehydrogenation of aluminum hydride:Optimized by highly active TiN nanoparticles with low addition

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Nano Research 2025年第4期18卷 610-617页

作者： Shaolei Zhao Qingyun Shi Long Liang Chunmin Zhang Qingshuang Wang Chunli Wang Ying Wang Pai Huang Limin Wang Yong Cheng State Key Laboratory of Rare Earth Resource Utilization Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022China School of Applied Chemistry and Engineering University of Science and Technology of ChinaHefei 230026China School of Materials Science and Engineering Changchun University of Science and TechnologyChangchun 130022China

Improving the dehydrogenation behavior of aluminum hydride(AlH3)by introducing additives provides a promising avenue in portable hydrogen source ***,the challenge remains in the development of highly active additives that facilitate hydrogen storage in composites while maintaining high capacity with a relatively small amount of *** work presents the successful synthesis of TiN nanoparticles by nitriding reaction using TiO_(2) as the *** onset dehydrogenation temperature of AlH_(3) could be remarkably reduced to 52.9℃ on account of the catalytic effect of TiN ***,the composite exhibits a close approximation to the realistic capacity of pure aluminum hydride,with a maximum capacity of 9.9 wt.%.The notable decrease in the apparent dehydrogenation activation energy of AlH_(3) from 130.86 to 86.69 kJ·mol^(-1) after the incorporation of TiN substantiates the pivotal role of multivalent titanium and nitrogen.

关键词： aluminum hydride titanium nitride high capacity dehydrogenation low addition

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Fluorinated poly(p-triphenylene isatin)anion exchange membranes based on hydrophilic hydroxyl side chain modulation for fuel cells

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Journal of Energy Chemistry 2025年第1期100卷 702-709页

作者： Yiman Gu Yanchao Zhang Zhanyu Li Yijia Lei Baozeng Sun Xiaoyu Yu Zhe Wang College of Chemistry and Life Science Changchun University of TechnologyChangchun 130012JilinChina College of Chemical Engineering Changchun University of TechnologyChangchun 130012JilinChina School of Materials Science and Engineering Changchun University of TechnologyChangchun 130012JilinChina Key Laboratory of Advanced Functional Polymer Membrane Materials of Jilin Province Changchun 130012JilinChina

The development of alkaline fuel cells is moving forward at an accelerated pace,and the application of ether-free bonded polymers to anion exchange membranes(AEMs)has been widely ***,the question of the“trade-off”between AEM ionic conductivity and dimensional stability remains *** strategy of inducing microphase separation to improve the performance of AEM has attracted much attention recently,but the design of optimal molecular structures is still being ***,this work introduced different ratios of 3-bromo-1,1,1-trifluoroacetone(x=40,50,and 60)into the main chain of poly(p-terphenylene isatin).Because fluorinated groups have excellent hydrophobicity,hydrophilic hydroxyl-containing side chains are introduced to jointly adjust the formation of phase separation *** results show that PTI-PTF_(50)-NOH AEM with the appropriate fluorinated group ratio has the best ionic conductivity and alkali stability under the combined effect of *** has an ionic conductivity of 133.83 mS cm^(-1)at 80°*** addition,the OH-conductivity remains at 89%of the initial value at 80°C and 3 M KOH for 1056 h of *** cell polarization curve based on PTI-PTF_(50)-NOH shows a power density of 734.76 mW cm^(-2)at a current density of 1807.7 mA cm^(-2).

关键词： Anion exchange membranes Poly(p-terphenylene isatin) Hydrophilic-hydrophobic phase separation Fluorinated group

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MCDGMatch: Multilevel Consistency Based on Data-augmented Generalization for Remote Sensing Image Classification

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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2025年 18卷 12470-12484页

作者： Liu, Pingping Liu, Xiaofeng Liu, Zetong Li, Haodong Zhou, Qiuzhan Jilin University School of Computer Science and Technology Changchun130012 China Jilin University School of Communication Engineering Changchun130012 China

The exponential growth of remote sensing image data and the high cost of manual annotation have led to insufficient labeled data, limiting classification performance. Semisupervised methods can address this issue, but most existing approaches lack multi-level consistency constraints in both embedding space and prediction probabilities, resulting in weak feature expressiveness. Additionally, the fine-grained characteristics of remote sensing images, amplified by data augmentation, are often overlooked, leading to overfitting and inaccurate decision boundaries. To address these issues, we propose a multi-level consistency solution that operates at both the embedding space and prediction probability levels. First, we refine the traditional data augmentation strategy and propose a mutual constraint loss function based on this refinement. Second, to address the intra-class variability of remote sensing images, we introduce a novel metric loss function to constrain the embedding space, taking into account both intra-sample consistency and intersample variability. Experimental results on three remote sensing image datasets demonstrate that our proposed method achieves significant performance e improvements compared to existing semi-supervised methods. © 2008-2012 IEEE.

关键词： Labeled data

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A Deep Echo State Network with Scaling Factor Activation Functions for Fault Diagnosis of Electrical Drive Systems

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IEEE Transactions on Transportation Electrification 2025年第3期11卷 7874-7884页

作者： Gong, Yuanpeng Jiang, Yulian Cheng, Chao Chen, Hongtian Wang, Shenquan Changchun University of Technology College of Electrical and Electronic Engineering Changchun130012 China Changchun University of Technology School of Computer Science and Engineering Changchun130012 China Shanghai Jiao Tong University Department of Automation Shanghai200240 China

Deep echo state networks (Deep-ESNs) play an important role in fault diagnosis. However, due to its limitation in the iterative process of dealing with nonlinear data, the accuracy of fault diagnosis is relatively low. In order to improve the fault diagnosis accuracy of electrical drive systems, this paper proposes a novel Deep-ESN based on the synergistic effect of golden jackal optimization (GJO), variational mode decomposition (VMD) and scaling factor activation function, called GVSD-ESN. The main work of this study contains: 1) the novel scaling factor activation function is proposed to solve the gradient vanishing problem in the Deep-ESN model;2) GJO is used to solve high-dimensional optimization problems of VMD;3) the power spiral curve is proposed to optimize the position update equation of GJO, which solves the problem of falling into the local optimal;4) adding a sparse regularization layer between reservoirs can enhance the class definition of GVSD-ESN. Finally, the effectiveness of the proposed method is verified in an electrical drive systems. © 2015 IEEE.

关键词： Variational mode decomposition

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Defined organic-octamolybdate crystalline superstructures derived Mo_(2)C@C as efficient hydrogen evolution electrocatalysts

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Chinese Chemical Letters 2024年第6期35卷 201-205页

作者： Jiao Li Chenyang Zhang Chuhan Wu Yan Liu Xuejian Zhang Xiao Li Yongtao Li Jing Sun Zhongmin Su School of Materials Science and Engineering Jilin Jianzhu UniversityChangchun 130018China School of Chemical and Environmental Engineering Changchun University of Science and TechnologyChangchun 130022China

Hydrogen evolution electrocatalysts derived from metal-organic crystalline frameworks can inherit the merits of ordered and adjustable structures with high surface *** this paper,organic-octamolybdate crystalline superstructures(OOCS)with a fixed stoichiometric ratio of Mo_(8)(L)_(2) and high Mo content(>40 wt%)were synthesized using flexible ligands with controllable lengths(named as OOCS-1-3).Then,molybdenum carbides coated with carbon layers as electrocatalysts(Mo_(2)C@C-1-3)can be obtained directly from a one-step high-temperature carbonization process using OOCS-1-3 as *** a typical example,Mo_(2)C@C-3 exhibits satisfactory hydrogen evolution activity with a low overpotential of 151 m V(1.0 mol/L KOH)at 10 m A/cm^(2) and stability for 24 *** electrocatalytic activity is mainly from the synergistic interactions between the carbon layers and molybdenum carbide ***,compared with the initial content of C,N,Mo in OOCS and Mo_(2)C@C,the catalytic activity increases with the N *** work makes organic-octamolybdate crystalline superstructures used as general precursors to product high Mo content electrocatalysts applied in energy storage and conversion fields.

关键词： Molybdenum carbides Electrocatalysts Organic-octamolybdate crystalline superstructures Synergistic interactions Hydrogen evolution reaction(HER)

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Privacy-preserving filtering, control and optimization for industrial cyber-physical systems

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science China(Information sciences) 2025年第4期68卷 267-283页

作者： Derui DING Qing-Long HAN Xiaohua GE Xian-Ming ZHANG Jun WANG Department of Control Science and Engineering University of Shanghai for Science and Technology School of Engineering Swinburne University of Technology Department of Computer Science City University of Hong Kong

Industrial cyber-physical systems closely integrate physical processes with cyberspace, enabling real-time exchange of various information about system dynamics, sensor outputs, and control decisions. The connection between cyberspace and physical processes results in the exposure of industrial production information to unprecedented security risks. It is imperative to develop suitable strategies to ensure cyber security while meeting basic performance *** the perspective of control engineering, this review presents the most up-to-date results for privacy-preserving filtering,control, and optimization in industrial cyber-physical systems. Fashionable privacy-preserving strategies and mainstream evaluation metrics are first presented in a systematic manner for performance evaluation and engineering *** discussion discloses the impact of typical filtering algorithms on filtering performance, specifically for privacy-preserving Kalman filtering. Then, the latest development of industrial control is systematically investigated from consensus control of multi-agent systems, platoon control of autonomous vehicles as well as hierarchical control of power systems. The focus thereafter is on the latest privacy-preserving optimization algorithms in the framework of consensus and their applications in distributed economic dispatch issues and energy management of networked power systems. In the end, several topics for potential future research are highlighted.

关键词： industrial cyber-physical systems privacy preservation distributed control distributed optimization power systems

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Performance analysis of two-way relay mixed RF/FSO system with co-channel interference

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Optoelectronics Letters 2025年第2期21卷 85-89页

作者： WANG Zhuo School of Optoelectronic Engineering Changchun University of Science and TechnologyChangchun 130022China

In this paper,the performance of a two-way relay (TWR) mixed radio frequency/free space optical (RF/FSO) system with co-channel interference (CCI) is *** from interference-limited one-way relay (OWR) system,CCIs should be considered at both relay and users in TWR ***,opportunistic user schedule is applied to select the user with the largest signal to interference plus noise ratio (SINR).Exact and asymptotic outage probability (OP) is *** bit error rate (BER) is further presented to evaluate the overall *** results show that the performance of a TWR system is dominated by the uplink or downlink whose performance is severer.

关键词： FSO channel system

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