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arXiv 2025年

作者： Rohde, Peter P. Huang, Zixin Ouyang, Yingkai Huang, He-Liang Su, Zu-En Devitt, Simon Ramakrishnan, Rohit Mantri, Atul Tan, Si-Hui Liu, Nana Harrison, Scott Radhakrishnan, Chandrashekar Brennen, Gavin K. Baragiola, Ben Q. Dowling, Jonathan P. Byrnes, Tim Munro, William J. Centre for Quantum Software and Information Faculty of Engineering and Information Technology University of Technology Sydney SydneyNSW Australia Hearne Institute for Theoretical Physics Louisiana State University Baton Rouge United States School of Mathematical and Physical Sciences Macquarie University NSW2109 Australia School of Mathematical and Physical Sciences University of Sheffield SheffieldS3 7RH United Kingdom Henan Key Laboratory of Quantum Information and Cryptography Henan Zhengzhou450000 China Hefei National Laboratory for Physical Sciences at Microscale Department of Modern Physics University of Science & Technology of China Hefei China CAS Centre for Excellence and Synergetic Innovation Centre in Quantum Information & Quantum Physics University of Science & Technology of China Hefei China CAS-Alibaba Quantum Computing Laboratory Shanghai China InstituteQ Aalto University Espoo02150 Finland Indian Institute of Science Bangalore India Singapore University of Technology & Design Singapore Centre for Quantum Technologies National University of Singapore Singapore Horizon Quantum Ireland 24 Fitzwilliam Place Dublin 2 D02 T296 Ireland Institute of Natural Sciences Shanghai Jiao Tong University Shanghai200240 China School of Mathematical Sciences Shanghai Jiao Tong University Shanghai200240 China Ministry of Education Key Laboratory in Scientific and Engineering Computing Shanghai Jiao Tong University Shanghai200240 China Shanghai Artificial Intelligence Laboratory Shanghai China University of Michigan Shanghai Jiao Tong University Joint Institute Shanghai200240 China Leibniz Institute for Research & Information in Education Frankfurt am Main Germany Department of Computer Science and Engineering NYU Shanghai 567 West Yangsi Road Shanghai200124 China Centre of Excellence in Engineered Quantum Systems Macquarie University NSW Australia Centre for Quantum Computation and Communication Technology School of Science RMIT University VIC

The desire to share and unite remote digital assets motivated the development of the classical internet, the enabler of the entire 21st century economy and our modern way of life. As we enter the quantum era, it is to be expected there will be a similar demand for networking quantum assets, motivating a global quantum internet for bringing together the world's quantum resources, leveraging off their exponential trajectory in capability. We present models for quantum networking, how they might be applied in the future, and the implications they will have. Socially, economically, politically and geostrategically, the upcoming era of quantum supremacy will be as significant for the 21st century as the transistor was for the 20th. The inherently different scaling in the computational power of quantum computers fundamentally changes the dynamics of how they will operate in the future. Given their high expected initial cost, a client/server model for outsourcing computation will be essential for enabling the accessibility and proliferation of this technology, and ensuring its economic viability. We therefore anticipate the emergence of cloud quantum computing, a model for outsourcing quantum computations to the network. We argue that economic efficiency will mandate that all future quantum computers be united into a single global virtual quantum computer, offering exponentially more power to all network participants than if they were to keep their resources to themselves. This model for the allocation of computational resources is uniquely quantum, with no classical analogue, completely altering the economic landscape for the future of computation. Given the sensitivity of much of the data to which future quantum computers are going to foreseeably be applied, protocols for encrypted quantum computation will be essential - the outsourcing of computations that neither an eavesdropper nor even the server performing the computation can spy upon. This will enable new models fo

关键词： Outsourcing

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Randomised benchmarking for characterizing and forecasting correlated processes

arXiv

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arXiv 2023年

作者： Zhang, Xinfang Wu, Zhihao White, Gregory A.L. Xiang, Zhongcheng Hu, Shun Peng, Zhihui Liu, Yong Zheng, Dongning Fu, Xiang Huang, Anqi Poletti, Dario Modi, Kavan Wu, Junjie Deng, Mingtang Guo, Chu Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha410073 China School of Physics and Astronomy Monash University VIC3800 Australia Dahlem Center for Complex Quantum Systems Freie Universität Berlin Berlin14195 Germany Institute of Physics Chinese Academy of Sciences Beijing100190 China Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha410081 China Science Mathematics and Technology Cluster and Engineering Product Development Pillar Singapore University of Technology and Design 8 Somapah Road 487372 Singapore Centre for Quantum Technologies National University of Singapore 117543 Singapore MajuLab CNRS-UNS-NUS-NTU International Joint Research Unit UMI 3654 Singapore Quantum for NSW Sydney2000 Australia

The development of fault-tolerant quantum processors relies on the ability to control noise. A particularly insidious form of noise is temporally correlated or non-Markovian noise. By combining randomized benchmarking with supervised machine learning algorithms, we develop a method to learn the details of temporally correlated noise. In particular, we can learn the time-independent evolution operator of system plus bath and this leads to (i) the ability to characterize the degree of non-Markovianity of the dynamics and (ii) the ability to predict the dynamics of the system even beyond the times we have used to train our model. We exemplify this by implementing our method on a superconducting quantum processor. Our experimental results show a drastic change between the Markovian and non-Markovian regimes for the learning accuracies. Copyright © 2023, The Authors. All rights reserved.

关键词： Benchmarking

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Application of artificial intelligence techniques for automated detection of myocardial infarction: A review

arXiv

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arXiv 2021年

作者： Joloudari, Javad Hassannataj Mojrian, Sanaz Nodehi, Issa Mashmool, Amir Zadegan, Zeynab Kiani Shirkharkolaie, Sahar Khanjani Alizadehsani, Roohallah Tamadon, Tahereh Khosravi, Samiyeh Kohnehshari, Mitra Akbari Hassannatajjeloudari, Edris Sharifrazi, Danial Mosavi, Amir Loh, Hui Wen Tan, Ru-San Rajendra Acharya, U. Department of Computer Engineering Faculty of Engineering University of Birjand Birjand Iran Department of Information Technology Engineering Mazandaran University of Science and Technology Babol Iran Department of Computer Engineering University of Qom Qom Iran Italy Institute for Intelligent Systems Research and Innovation Deakin University GeelongVIC3216 Australia Computer Engineering Department Engineering Faculty Bu-Ali Sina University Hamedan Iran Department of Nursing School of Nursing and Allied Medical Sciences Maragheh Faculty of Medical Sciences Maragheh Iran Department of Computer Engineering Shiraz Branch Islamic Azad University Shiraz Iran Faculty of Informatics Obuda University Budapest Hungary School of Science and Technology Singapore University of Social Sciences Singapore Department of Cardiology National Heart Centre Singapore Singapore Ngee Ann Polytechnic Singapore599489 Singapore Dept. of Biomedical Informatics and Medical Engineering Asia University Taichung Taiwan

Myocardial infarction (MI) results in heart muscle injury due to receiving insufficient blood flow. MI is the most common cause of mortality in middle-aged and elderly individuals around the world. To diagnose MI, clinicians need to interpret electrocardiography (ECG) signals, which requires expertise and is subject to observer bias. Artificial intelligence-based methods can be utilized to screen for or diagnose MI automatically using ECG signals. In this work, we conducted a comprehensive assessment of artificial intelligence-based approaches for MI detection based on ECG as well as other biophysical signals, including machine learning (ML) and deep learning (DL) models. The performance of traditional ML methods relies on handcrafted features and manual selection of ECG signals, whereas DL models can automate these tasks. The review observed that deep convolutional neural networks (DCNNs) yielded excellent classification performance for MI diagnosis, which explains why they have become prevalent in recent years. To our knowledge, this is the first comprehensive survey of artificial intelligence techniques employed for MI diagnosis using ECG and other biophysical signals. © 2021, CC BY-SA.

关键词： Deep neural networks

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Communication and networking technologies for UAVs: A survey

TechRxiv

引用

TechRxiv 2020年

作者： Sharma, Abhishek Vanjani, Pankhuri Paliwal, Nikhil Wijerathna Basnayaka, Chathuranga M. Jayakody, Dushantha Nalin K. Wang, Hwang-Cheng Muthuchidambaranathan, P. Dept. of Electronics and Communication Engineering The LNM Institute of Information and Technology Jaipur India Centre for Telecommunication Research School of Engineering Sri Lanka Technological Campus Sri Lanka School of Computer Science and Robotics National Research Tomsk Polytechnic University Russia Department of Electronic Engineering National Ilan University Yilan Taiwan Department of Electronic and Communications Engineering National Institute of Technology Trichy India

With the advancement in drone technology, in just a few years, drones will be assisting humans in every domain. But there are many challenges to be tackled, communication being the chief one. This paper aims at providing insights into the latest UAV (Unmanned Aerial Vehicle) communication technologies through investigation of suitable task modules, antennas, resource handling platforms, and network architectures. Additionally, we explore techniques such as machine learning and path planning to enhance existing drone communication *** and optimization techniques for ensuring long−lasting and secure communications, as well as for power management, are ***, applications of UAV networks for different contextual uses ranging from navigation to surveillance, URLLC (Ultra-reliable and low−latency communications), edge computing and work related to artificial intelligence are examined. In particular, the intricate interplay between UAV, advanced cellular communication, and internet of things constitutes one of the focal points of this paper. The survey encompasses lessons learned, insights, challenges, open issues, and future directions in UAV communications. Our literature review reveals the need for more research work on drone−to−drone and drone−to−device communications. © 2020, CC BY.

关键词： Wireless networks

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Porting and optimizing VASP on the SW26010 18th

Porting and optimizing VASP on the SW26010

引用

18th International Conference on Algorithms and Architectures for parallel Processing - ICA3PP 2018 Collocated Workshops: ICA3PP 2018 Workshop on Intelligent Algorithms for Large-scale Complex Optimization Problems, IALCOP 2018, ICA3PP 2018 Workshop on Security and Privacy in Data Processing, SPDP 2018

作者： Li, Leisheng Sun, Qiao Liu, Xin Wu, Changmao Zhao, Haitao Zhang, Changyou Laboratory of Parallel Software and Computational Science Institute of Software Chinese Academy of Sciences Beijing China National Research Centre of Parallel Computer Engineering and Technology WuxiJiangsu China

ISBN: (纸本)9783030052331

VASP (Vienna Ab initio Simulation Package) is a prevalent first-principle software framework. It is so widely used that its runtime usually dominates the usage of current supercomputers. The porting and optimization of VASP to the Sunway TaihuLight supercomputer, a newly heterogeneous many-core platform based on SW26010 CPU, becomes of great importance. In this paper, we focus on the challenges in porting and optimizing VASP on the SW26010 CPU. Optimizations on three types of time-consuming kernels, which include matrix operations, FFT, and certain domain-specific computing primitives, are carried out base on thorough performance profiling. The experimental results are shown by the case of RELAX, where speedup of 2.90x and 4.48x is sustained respectively for both of the iterative diagonalization methods in VASP, RMM-DIIS (RMM) and block Davidson (DAV). © Springer Nature Switzerland AG 2018.

关键词： Density functional theory

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Local contextuality-based self-tests are sufficient for randomness expansion secure against quantum adversaries

arXiv

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arXiv 2024年

作者： Singh, Jaskaran Foreman, Cameron Bharti, Kishor Cabello, Adán National Cheng Kung University Tainan701 Taiwan Quantinuum Partnership House Carlisle Place LondonSW1P 1BX United Kingdom Department of Computer Science University College London London United Kingdom 1 Fusionopolis Way #16-16 Connexis Singapore138632 Singapore Centre for Quantum Engineering Research and Education TCG CREST Sector V Salt Lake Kolkata700091 India Science Mathematics and Technology Cluster Singapore University of Technology and Design 8 Somapah Road Singapore487372 Singapore Departamento de Física Aplicada II Universidad de Sevilla Sevilla41012 Spain Instituto Carlos I de Física Teórica y Computacional Universidad de Sevilla Sevilla41012 Spain

In quantum cryptography, secure randomness expansion involves using a short private string of random bits to generate a longer one, even in the presence of an adversary who may have access to quantum resources. In this work, we demonstrate that local contextuality-based self-tests are sufficient to construct a randomness expansion protocol that is secure against computationally unbounded quantum adversaries. Our protocol is based on self-testing from non-contextuality inequalities and we prove that our scheme asymptotically produces secure random numbers which are O(m√ǫ)-close to uniformly distributed and private, where ǫ is the robustness parameter of the self-test and m is the length of the generated random bit string. Our protocol is semi-device-independent in the sense that it inherits any assumptions necessary for the underlying self-test. © 2024, CC BY-SA.

关键词： Quantum cryptography

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Hydrodynamic simulations of white dwarf-white dwarf mergers and the origin of R Coronae Borealis stars

arXiv

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arXiv 2024年

作者： Shiber, Sagiv De Marco, Orsola Motl, Patrick M. Munson, Bradley Marcello, Dominic C. Frank, Juhan Diehl, Patrick Clayton, Geoffrey C. Skinner, Bennett N. Kaiser, Hartmut Daiß, Gregor Pflüger, Dirk Staff, Jan E. Department of Physics and Astronomy Louisiana State University Baton RougeLA70803 United States School of Mathematical and Physical Sciences Macquarie University SydneyNSW2109 Australia Astronomy Astrophysics and Astrophotonics Research Centre Macquarie University SydneyNSW2109 Australia The School of Sciences Indiana University Kokomo KokomoIN46902 United States LSU Center for Computation & Technology Louisiana State University Baton RougeLA70803 United States Los Alamos National Laboratory Los AlamosNM87545 United States NSF-supported REU Student at LSU United States IPVS University of Stuttgart Stuttgart Stuttgart70174 Germany Division of Computer Science and Engineering Louisiana State University Baton RougeLA70803 United States Department of Space Earth and Environment Chalmers University of Technology GothenburgSE-41296 Sweden

We study the properties of double white dwarf (DWD) mergers by performing hydrodynamic simulations using the new and improved adaptive mesh refinement code Octo-Tiger. We follow the orbital evolution of DWD systems of mass ratio q = 0.7 for tens of orbits until and after the merger to investigate them as a possible origin for R Coronae Borealis (RCB) type stars. We reproduce previous results, finding that during the merger, the helium WD donor star is tidally disrupted within 20-80 minutes since the beginning of the simulation onto the accretor carbon-oxygen WD, creating a high temperature shell around the accretor. We investigate the possible helium burning in this shell and the merged object’s general structure. Specifically, we are interested in the amount of oxygen-16 dredged-up from the accretor to the hot shell and the amount of oxygen-18 produced. This is critical as the discovery of very low oxygen-16 to oxygen-18 ratios in RCB stars pointed out the merger scenario as a favorable explanation for their origin. A small amount of hydrogen in the donor may help keep the oxygen-16 to oxygen-18 ratios within observational bounds, even if moderate dredge-up from the accretor occurs. In addition, we perform a resolution study to reconcile the difference found in the amount of oxygen-16 dredge-up between smoothed-particle hydrodynamics and grid-based simulations. © 2024, CC BY.

关键词： White dwarfs

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Communication and networking technologies for UAVs: A survey

arXiv

引用

arXiv 2020年

作者： Sharma, Abhishek Vanjani, Pankhuri Paliwal, Nikhil Wijerathna Basnayaka, Chathuranga M. Jayakody, Dushantha Nalin K. Wang, Hwang-Cheng Muthuchidambaranathan, P. Dept. of Electronics and Communication Engineering LNM Institute of Information and Technology Jaipur India Centre for Telecommunication Research School of Engineering Sri Lanka Technological Campus Sri Lanka School of Computer Science and Robotics National Research Tomsk Polytechnic University Russia Department of Electronic Engineering National Ilan University Yilan Taiwan Department of Electronic and Communications Engineering National Institute of Technology Trichy India

关键词： 5G mobile communication systems

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Network resilience in the aging brain

arXiv

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arXiv 2022年

作者： Liu, Tao Guo, Shu Liu, Hao Kang, Rui Bai, Mingyang Jiang, Jiyang Wen, Wei Pan, Xing Tai, Jun Li, Jianxin Cheng, Jian Jing, Jing Wu, Zhenzhou Niu, Haijun Zhu, Haogang Li, Zixiao Wang, Yongjun Brodaty, Henry Sachdev, Perminder Li, Daqing Beijing Advanced Innovation Center For Biomedical Engineering School Of Biological Science And Medical Engineering Beihang University China School Of Reliability And Systems Engineering Beihang University China School Of Psychiatry UNSW Sydney NSW2052 Australia Neuropsychiatric Institute Prince Of Wales Hospital SydneyNSW Australia Department Of Otorhinolaryngology Children's Hospital Capital Institute Of Pediatrics No. 2 Yabao Road Beijing Chaoyang District100020 China School Of Computer Science And Engineering Beihang University Beijing China Neuroimaging Center Of Excellence China National Clinical Research Center For Neurological Diseases Beijing China BioMind Technology AI Center China National Clinical Research Center For Neurological Diseases Beijing China Vascular Neurology Department Of Neurology Beijing TianTan Hospital Capital Medical University China Dementia Centre For Research Collaboration School Of Psychiatry UNSW Sydney NSW2052 Australia College Of Safety Science And Engineering Civil Aviation University Of China Tianjin300300 China

Degeneration and adaptation are two competing sides of the same coin called resilience in the progressive processes of brain aging or diseases. Degeneration accumulates during brain aging and other cerebral activities, causing structural atrophy and dysfunction. At the same time, adaptation allows brain network reorganize to compensate for structural loss to maintain cognition function. Although hidden resilience mechanism is critical and fundamental to uncover the brain aging law, due to the lack of datasets and appropriate methodology, it remains essentially unknown how these two processes interact dynamically across brain networks. To quantitatively investigate this complex process, we analyze aging brains based on 6-year follow-up multimodal neuroimaging database from 63 persons. We reveal the critical mechanism of network resilience that various perturbation may cause fast brain structural atrophy, and then brain can reorganize its functional layout to lower its operational efficiency, which helps to slow down the structural atrophy and finally recover its functional efficiency equilibrium. This empirical finding could be explained by our theoretical model, suggesting one universal resilience dynamical function. This resilience is achieved in the brain functional network with evolving percolation and rich-club features. Our findings can help to understand the brain aging process and design possible mitigation methods to adjust interaction between degeneration and adaptation from resilience viewpoint. © 2022, CC BY.

关键词： Brain

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Modeling the Diffusion Coefficient of Charge Carriers in Batteries Using the Randles-Sevcik Equation

SSRN

引用

SSRN 2024年

作者： Abd El-Latif, Eman I. Alahmadi, M. Kebede, Mesfin Abayneh Phasha, Maje Hameed, Talaat A. Khairy, Yasmin Ali, H. Elhosiny Sheha, Eslam Department of Mathematics and Computer Science Faculty of Science Benha University 13518 Egypt Chemistry Department College of Science Taibah University P.O. Box 344 Madinah Saudi Arabia Institute for Nanotechnology and Water Sustainability College of Science Engineering and Technology University of South Africa Johannesburg1710 South Africa Mintek Advanced Materials Division Randburg Johannesburg South Africa Solid-State Physics Department Physics Research Institute National Research Centre 33 ElBohouth St. Dokki Giza12622 Egypt King Khalid University P.O. Box 9004 Abha61413 Saudi Arabia Department of Physics Faculty of Science King Khalid University P.O. Box 9004 Abha61413 Saudi Arabia Physics Department Faculty of Science Benha University Benha13518 Egypt

Nowadays, the battery is the primary power source for electrifying the transport sector transition and bridging the gap in renewable energy intermittency. Furthermore, optimizing the electrochemical performance of the battery prevents its chemical aging, which can be verified by tuning the kinetic and diffusion parameters of the electrodes and electrolyte/electrode interface. This paper focuses on predicting the diffusion parameters of metal batteries that are currently not experimentally realized in laboratory conditions. Firstly, we used diffusion equations to analyze the relation between the diffusion coefficient and Warburg factor for the monovalent and multivalent batteries to predict the theoretical values of the diffusion coefficient at different temperatures. Secondly, the relationship between the charge transfer resistance and the Warburg factor has been analyzed to predict the speculative behavior and calculate the fitting parameters. Finally, the modelled Randles-Sevcik equation indicated the relationship between peak current and the scan rate at different diffusion coefficients. Compared to the existing algorithms available for battery modeling, this research is the first of its kind. © 2024, The Authors. All rights reserved.

关键词： Metal ions

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