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Majorana polarization in non-Hermitian topological superconductors

Physical Review B 2021年第13期103卷 134507-134507页

作者： Zhen-Hua Wang Fuming Xu Lin Li Dong-Hui Xu Wei-Qiang Chen Bin Wang Shenzhen Key Laboratory of Advanced Thin Films and Applications College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen 518060 China Center for Quantum Computing Peng Cheng Laboratory Shenzhen 518055 China College of Physics and Electronic Engineering and Center for Computational Sciences Sichuan Normal University Chengdu 610068 China Department of Physics Hubei University Wuhan 430062 China Department of Physics and Shenzhen Key Laboratory of Advanced Quantum Functional Materials and Devices Southern University of Science and Technology Shenzhen 518055 China Institute for Quantum Science and Engineering Southern University of Science and Technology Shenzhen 518055 China

Topological invariants play an important role in characterizing topological phases. However, the topological invariants of Hermitian systems usually fail to characterize non-Hermitian topological systems due to non-Hermiticity. In this work, we generalize the Majorana polarization, which is initially defined to describe Hermitian topological superconductors, as a topological edge invariant to characterize the non-Hermitian topological superconductors. The definition of the generalized Majorana polarization depends upon two inequivalent particle-hole symmetries in non-Hermitian systems. The spinless Kitaev chain model and topological superconductor model on the honeycomb lattice are considered to examine the reliability and validity of the generalized Majorana polarization. We find that the phase transitions obtained by using Majorana polarization are consistent with the commonly used complex-energy point gap descriptions, which indicates the Majorana polarization is a reliable topological invariant to characterize the topological phase transition in non-Hermitian topological superconductors. In addition, the non-Hermitian skin effect on Majorana bound states in non-Hermitian topological superconductors is also discussed.

关键词： Majorana bound states Skin effect Topological phase transition Honeycomb lattice Kitaev model Tight-binding model

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Approaching ¹⁰⁰Sn: Structural evolution in ^98,100Cd via lifetime measurements

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Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics 2025年 863卷

作者： Zhang, G. Polettini, M. Mengoni, D. Benzoni, G. Huang, Z. Górska, M. Blazhev, A. Fraile, L.M. Gargano, A. De Gregorio, G. Nowacki, F. Aggez, G. Ahmed, U. Aktas, O. Al-Aqeel, M. Alayed, B. Albers, H.M. Algora, A. Alhomaidhi, S. Amjad, F. Appleton, C. Arıcı, T. Armstrong, M. Arnés, B.Q. Astier, A. Balogh, M. Banerjee, A. Bazzacco, D. Benito Garcìa, J. Bottoni, S. Boutachkov, P. Bracco, A. Bruce, A. Brugnara, D. Bruno, C. Camera, F. Cederwall, B. Cicerchia, M. Chishti, M.M.R. Corsi, A. Cortes, M.L. Cox, D. Crespi, F.C.L. Das, B. Davidson, T. de Angelis, G. Dickel, T. Doncel, M. Ertoprak, A. Esmaylzadeh, A. Gaffney, L. Galtarossa, F. Gamba, E.R. Garbe, J. Genna, D. Gerl, J. Goasduff, A. Gottardo, A. Gozzelino, A. Grahn, T. Ha, J. Haettner, E. Hall, O. Harkness-Brennan, L. Heggen, H. Hornung, C. Hrabar, Y. Hu, S.P. Hubbard, N. Ide, K.E. Illana, A. Jazrawi, S. John, P.R. Jolie, J. Jones, C. Joss, D. Judson, D. Karayonchev, V. Kazantseva, E. Kern, R. Kiss, G.G. Knafla, L. Knöbel, R. Kojouharov, I. Korgul, A. Korten, W. Koseoglou, P. Kostyleva, D. Kurtukian-Nieto, T. Kosir, G. Kurz, N. Kuti, I. Labiche, M. Lenzi, S.M. Leoni, S. Li, G.-S. Liu, Z. Llanos Expósito, M. Lozeva, R. Lu, J.B. Luoma, M. Mantovani, G. Marchi, T. Mazzocco, M. Menegazzo, R. Mertzimekis, T.J. Mikolajczuk, M. Million, B. Mistry, A.K. Mukha, I. Nacher, E. Napoli, D.R. Nara Singh, B.S. Orrigo, S.E.A. Page, R.D. Papadakis, P. Pasqualato, G. Pellumaj, J. Pelonis, S. Peréz Vidal, R.M. Petrache, C.M. Petrovic, J. Pietralla, N. Pietri, S. Pigliapoco, S. Podolyák, Zs. Porzio, C. Raggio, A. Recchia, F. Regan, P.H. Régis, J.M. Reiter, P. Rezynkina, K. Rocco, E. Rodriguez Murias, J. Rösch, H. Roy, P. Rubio, B. Rudigier, M. Ruotsalainen, P. Sahin, E. Sarmiento, L.G. Satrazani, M.-M. Schaffner, H. Scheidenberger, Ch. Sexton, L. Sharma, A. Siciliano, M. Simpson, J. Smallcombe, J. Söderström, P. Sohler, D. Sood, A. Soramel, F. Sun, B.-H. Sun, H.B. Sveiczer, A. Szegedi, N. Tanaka, Y.K. Valiente-Dobón, J.J. Vasileiou, P. Vesic, J. von Tresckow, M. Waring, L. Watanabe, Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen University Guangdong Zhuhai 519082 China Università degli Studi di Padova Padova 35131 Italy INFN Sezione di Padova Padova 35131 Italy Università degli Studi di Milano Milano 20133 Italy INFN Sezione di Milano Milano 20133 Italy School of Radiation Medicine and Protection Collaborative Innovation Center of Radiological Medicine of Jiangsu Soochow 215123 China GSI Helmholtzzentrum für Schwerionenforschung Darmstadt 64291 Germany Institut für Kernphysik Universität zu Köln Cologne 50937 Germany Grupo de Física Nuclear and IPARCOS Universidad Complutense de Madrid Madrid E-28040 Spain INFN Sezione di Napoli Napoli I-80126 Italy Università degli Studi della Campania Caserta 81100 Italy Université de Strasbourg IPHC Strasbourg 67037 France Institut für Kernphysik Technische Universität Darmstadt Darmstadt 64289 Germany Department of Physics KTH Royal Institute of Technology Stockholm SE-10691 Sweden Imam Mohammad Ibn Saud Islamic University Riyadh Saudi Arabia Department of Physics Oliver Ladge Laboratory University of Liverpool Liverpool L69 7ZE United Kingdom Ar Rass College of Sciences and Arts Qassim University Quassim Saudi Arabia Instituto de Física Corpuscular CSIC-Universidad de Valencia Valencia E-46071 Spain King Abdulaziz City for Science and Technology (KACST) Riyadh 11442 Saudi Arabia Helmholtz Forschungsakademie Hessen für FAIR (HFHF) Darmstadt 64289 Germany School of Physics and Astronomy University of Edinburgh Edinburgh H9 3FD United Kingdom Laboratorio de Radiaciones Ionizantes Universidad de Salamanca Salamanca 37008 Spain Université Paris-Saclay IJCLab CNRS/IN2P3 Orsay F-91405 France INFN Laboratori Nazionali di Legnaro Legnaro 35020 Italy School of Computing Engineering and Mathematics University of Brighton Brighton BN2 4AT United Kingdom Department of Physics University of Surrey Surrey GU2 7XH United Kingdom IRFU CEA Université P

The lifetimes of low-lying excited states below the 8+ seniority isomer were directly measured using fast timing detectors in the neutron-deficient isotopes 98,100Cd. This experiment was conducted with the DEcay SPECt... 详细信息

The lifetimes of low-lying excited states below the 8⁺ seniority isomer were directly measured using fast timing detectors in the neutron-deficient isotopes ^98,100Cd. This experiment was conducted with the DEcay SPECtroscopy (DESPEC) setup at GSI, where the ions of interest were produced via a fragmentation reaction and identified using the FRagment Separator (FRS) before being implanted in the AIDA active stopper system, and the γ rays emitted during the de-excitation of isomeric states were detected by the LaBr₃ FATIMA Array. The newly deduced values for the reduced transition probabilities were compared with shell-model calculations using different interactions and effective charges. The results indicate that, while ⁹⁸Cd aligns well with a seniority scheme description, in ¹⁰⁰Cd the transition strengths among low-lying states are not fully reproduced, and the nature of these states remains an open problem within the present theoretical description. Ultimately, a key element in the description of this region, crucial for nuclear physics and astrophysics, appears to be the proton-neutron term of the nuclear effective interaction. © 2025 The Author(s)

关键词： Gamma-ray spectroscopy Lifetime measurement Nuclear structure Radioactive beams

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A Novel Method for Semantic Segmentation on Lidar Point Clouds 19th

A Novel Method for Semantic Segmentation on Lidar Point Clou...

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19th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2023

作者： Wang, Fei Wan, Liangtian Zhu, Yan Sun, Lu Zhao, Xiaowei Zheng, Jianbo Wang, Xianpeng Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province School of Software Dalian University of Technology Dalian116620 China Artificial Intelligence Research Institute Shenzhen MSU-BIT University Guangdong Shenzhen518172 China Guangdong-Hong Kong-Macao Joint Laboratory for Emotional Intelligence and Pervasive Computing Shenzhen MSU-BIT University Guangdong Shenzhen518172 China Department of Communication Engineering Institute of Information Science Technology Dalian Maritime University Dalian116026 China School of Information and Communication Engineering Hainan University Haikou570228 China

ISBN: (纸本)9783031651250

Autonomous driving relies on multiple sensors, such as lidar and cameras, to perceive the surrounding environment and the vehicle’s own position. Among them, lidar point cloud segmentation is a crucial and challenging task for 3D scene understanding. In this paper, we propose a novel deep learning method RPNet for lidar point cloud segmentation that combines range image-based segmentation and point based segmentation. Our method extracts point cloud features from range images and predicts 3D point cloud labels from point clouds. The segmentation results of both branches are fused to improve accuracy. We evaluate our method on the Semantic KITTI dataset and show that it outperforms other fusion algorithms in terms of effectiveness and robustness. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Semantic Segmentation

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On Web Page extraction based on position of DIV

On Web Page extraction based on position of DIV

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International Conference on Computer and Automation Engineering, ICCAE

作者： Xunhua Liu Hui Li Dan Wu Jiaqing Huang Wei Wang Li Yu Ye Wu Hengjun Xie Key Laboratory of Integrated Microsystem Science and Engineering Applications Shenzhen Graduate School Peking University Shanghai China Key Laboratory of Integrated Microsystem Science and Engineering Applications Shenzhen Graduate School of Peking University 518055 China Department of Electronics & Information Engineering Huazhong University of Science and Technology Wuhan China Value-added Service Center China Telecom Shenzhen Branch Company Limited Shenzhen China

ISBN: (纸本)9781424455850

For the popular DIV page layout in Web Pages, this paper presents a method based on the position of DIV to extract main text from the body of Web pages by reconstructing, remaining atomic DIV and analyzing DIV position. Experiments showed that the accuracy rate of extraction can reach more than 90%, with a high versatility and accuracy.

关键词： Web pages Data mining HTML Information analysis Information retrieval Containers Standards publication Cascading style sheets Microelectronics Telecommunications

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Dynamic Attribute-Based Access Control in Cloud Storage Systems

Dynamic Attribute-Based Access Control in Cloud Storage Syst...

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IEEE International Conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Zechao Liu Zoe L. Jiang Xuan Wang S.M. Yiu Chunkai Zhang Xiaomeng Zhao Harbin Institute of Technology Shenzhen Graduate School Shenzhen China Guangdong Provincial Key Laboratory of High Performance Computing Public Service Platform of Mobile Internet Application Security Industry The University of Hong Kong HKSAR China

ISBN: (纸本)9781509032068

Cloud storage service allows data owner to store their big data in the cloud and provides data access to the users. As the cloud server is not trustworthy, we cannot rely on the server to conduct data access control. To protect data security and privacy, Attribute-Based Encryption (ABE) is a promising technique for data access control in cloud storage, because it provides data owner more direct control on access policies. However, there are two dynamic issues, namely attribute revocation and policy updating, that should be solved first before deploying ABE in practice. In this paper, we design a dynamic attribute-based access control scheme, which can solve the above two problems simultaneously. Besides, our scheme can support large universe of attributes, which makes it more available in cloud storage system. The proposed scheme is proved statically secure in random oracle model.

关键词： Cloud computing Access control Servers Cryptography Adaptation models Big data

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A Microfluidic Spherical Helix Module Using Liquid Metal and Additive Manufacturing for Drug Delivery applications

A Microfluidic Spherical Helix Module Using Liquid Metal and...

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Microwave, MTT-S International Symposium

作者： Yangyang Guan Shicong Wang Manos M. Tentzeris Yuanan Liu Beijing Key Laboratory of Work Safety Intelligent Monitoring Beijing University of Posts and Telecommunications China Key Laboratory of Embedded System and Service Computing of the Ministry of Education Tongji University China Agile Technologies for High-performance Electromagnetic Novel Applications Georgia Institute of Technology USA

In this paper, a spherical helix module based on 3D printing and microfluidic technologies was fabricated, tested and applied to drug delivery applications. A liquid metal alloy is introduced to enhance the sensitivity of the complex and drug-/liquid-reconfigurable helix topology. Moreover, the influence of the dimensions of the hemisphere inscribed by the helical turns on the resonant frequency of the structure is researched. The microfluidic channels with 1 mm radius are shaped in the form of double semispherical helix using a Form-2 3D printer. To fulfill effectively the liquid metal (LM) injection, movement and recycle for reuse, a syringe pump is integrated to flexibly control the flow of the fluid. Besides, the proof-of-concept prototype achieves excellent radiation gain and impedance matching. The realized sensitivity is 0.96 mL/GHz and 0.33 mL/GHz corresponding with the frequency shift from 2.28 to 2.01 GHz and 2.01 to 1.65 GHz.

关键词： Resonant frequency Monitoring Microfluidics Liquids Drugs Mathematical model Three-dimensional printing

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One-dimensional topological superconductivity at the edges of twisted bilayer graphene nanoribbons

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Physical Review B 2019年第9期100卷 094531-094531页

作者： Zhen-Hua Wang Fuming Xu Lin Li Rong Lü Bin Wang Wei-Qiang Chen Shenzhen Key Laboratory of Advanced Thin Films and Applications College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen 518060 China Shenzhen Institute for Quantum Science and Engineering and Department of Physics Southern University of Science and Technology Shenzhen 518055 China Beijing Computational Science Research Center Beijing 100193 China College of Physics and Electronic Engineering and Center for Computational Sciences Sichuan Normal University Chengdu 610068 China Department of Physics Tsinghua University Beijing 100084 China Collaborative Innovation Center of Quantum Matter Beijing 100084 China Center for Quantum Computing Peng Cheng Laboratory Shenzhen 518055 China

Twisted bilayer graphene is one of the simplest van der Waals structures, and its inhomogeneous interlayer coupling can induce rich electronic properties. In twisted bilayer graphene nanoribbons (tBLGNRs), the interlayer coupling strengths are different for two ribbon edges due to the inhomogeneous bonding, which splits the edge states into two individuals in energy. The lower-energy state, localizing at the ribbon edge with the stronger interlayer coupling, is a good candidate to generate one-dimensional (1D) topological superconductivity in the presence of Rashba spin-orbit coupling, Zeeman field, and s-wave superconductivity. Majorana zero modes (MZMs) are found to be localized at both ends of this edge. The topological invariants of the system are explored by evaluating the Berry phase for infinite-length ribbons and Majorana polarization for quasi-1D ribbons, giving the same topological phase diagram. More importantly, by adjusting interlayer dislocation and uniaxial strain of tBLGNRs across the critical values, the lower-energy edge changes and 1D topological superconductivity can “jump” from one ribbon edge to the other one. Finally, by applying a gate voltage bias between bilayers or changing the interlayer distance, a MZM can transfer along the ribbon edge. The tBLGNRs provide an alternative platform to study 1D topological superconductivity and MZMs.

关键词： Majorana bound states Topological superconductors Graphene Tight-binding model

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An Electronic Medical Record Access Control Model Based on Intuitionistic Fuzzy Trust

SSRN

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SSRN 2023年

作者： Jiang, Rong Liu, Rui Zhang, Tao Ding, Weiping Tian, Shenghu Yunnan Key Laboratory of Service Computing Yunnan University of Finance and Economics Kunming China Institute of Intelligence Applications Yunnan University of Finance and Economics Kunming China School of Information Science and Technology Nantong University Nantong China

Electronic Medical Record (EMR), as the core data of medical big data, has improved the efficiency of medical services in the process of sharing and using, but a series of data privacy leakage problems have emerged. Access control technology can ensure users' legitimate and appropriate access to data resources, but traditional access control has many limitations such as static and coarse-grained, which is difficult to meet the dynamic and complex healthcare environment. Therefore, this article proposes an intuitionistic fuzzy trust-based access control model to solve the data privacy leakage problem in order to promote medical information sharing. The model proposes a new trust evaluation method that uses Latent Dirichlet Allocation (LDA) topic model and intuitionistic fuzzy theory to more accurately quantify doctors' trust;In trust aggregation, time windows and time decay are used to enhance the timeliness of trust aggregation;The model also adopts an intuitionistic fuzzy clustering algorithm based on relative entropy and a reward and punishment mechanism to achieve adaptive dynamic access control of doctors' access behavior. Experiments prove that the access control model based on intuitionistic fuzzy trust proposed in this article has a certain control effect on the privacy leakage problem of electronic medical record system. © 2023, The Authors. All rights reserved.

关键词： Clustering algorithms

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computing optimal partition problems via Lagrange multiplier approach

arXiv

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arXiv 2024年

作者： Cheng, Qing Guo, Jing Wang, Dong Department of Mathematics Tongji University Shanghai200092 China Key Laboratory of Intelligent Computing and Applications Tongji University Ministry of Education China School of Science and Engineering The Chinese University of Hong Kong Guangdong Shenzhen518172 China Shenzhen International Center for Industrial and Applied Mathematics Shenzhen Research Institute of Big Data Guangdong518172 China

In this paper, we consider numerical approximations for the optimal partition problem using Lagrange multipliers. By rewriting it into constrained gradient flows, three and four steps numerical schemes based on the Lagrange multiplier approach [16, 17] are proposed to solve the constrained gradient system. Numerical schemes proposed for the constrained gradient flows satisfy the nice properties of orthogonality-preserving, norm-preserving, positivity-preserving and energy dissipating. The proposed schemes are very efficient in which only linear Poisson equations are solved at each time step. Extensive numerical results in 2D and 3D for optimal partition problem are presented to validate the effectiveness and accuracy of the proposed numerical schemes. Copyright © 2024, The Authors. All rights reserved.

关键词： Lagrange multipliers

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Knowledge-Enabled Intent-Driven Network Configuration Generation for 5G Core Networks

Knowledge-Enabled Intent-Driven Network Configuration Genera...

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International Conference on Communication Technology (ICCT)

作者： Qiuying Li Jiajun Cai Ji’ang Xu Ruosi Liu Caixia Yuan Hui Gao Key Laboratory of Trustworthy Distributed Computing and Service MOE Beijing University of Posts and Telecommunications Beijing China School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China Huawei Technoligies Bantian Industrial Base Shenzhen China

ISBN: (数字)9798350363760

ISBN: (纸本)9798350363777

Automating the configuration of 5G core networks (CNs) is crucial for meeting increasingly diverse and specialized application requirements. In this paper, we propose an intent-driven automation model for configuring 5G CNs. Our approach leverages existing 5G CN equipment manuals and extracts the underlying configuration knowledge to enable intent translation. Unlike traditional methods, the proposed model employs a knowledge fusion approach that computes the semantic correlation between user intents and equipment configuration commands. Specifically, the proposed model integrates graph neural networks and pre-trained language models, exhibiting strong reasoning capabilities. Moreover, by converting complex texts into structured knowledge graphs, the proposed model provides precise command suggestions, significantly enhancing the degree of automation in 5G CN configurations. Simulation results show that the generated commands achieve high accuracy across various scenarios, validating the effectiveness of our approach.

关键词： Adaptation models Translation Automation Accuracy 5G mobile communication Computational modeling Simulation Semantics Manuals Graph neural networks

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