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检索条件"机构=State Key Laboratory of Computer Architecture~ Institute of Computing Technology"
1794 条 记 录,以下是1561-1570 订阅
排序:
Preparing a commercial quantum key distribution system for certification against implementation loopholes
arXiv
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arXiv 2023年
作者: Makarov, Vadim Abrikosov, Alexey Chaiwongkhot, Poompong Fedorov, Aleksey K. Huang, Anqi Kiktenko, Evgeny Petrov, Mikhail Ponosova, Anastasiya Ruzhitskaya, Daria Tayduganov, Andrey Trefilov, Daniil Zaitsev, Konstantin Russian Quantum Center Skolkovo Moscow121205 Russia Vigo Quantum Communication Center University of Vigo VigoE-36310 Spain NTI Center for Quantum Communications National University of Science and Technology MISiS Moscow119049 Russia Department of Physics Faculty of Science Mahidol University Bangkok10400 Thailand Institute for Quantum Computing University of Waterloo WaterlooONN2L 3G1 Canada Department of Physics and Astronomy University of Waterloo WaterlooONN2L 3G1 Canada Bangkok10110 Thailand QRate Skolkovo Moscow143026 Russia Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha410073 China Steklov Mathematical Institute Russian Academy of Sciences Moscow119991 Russia atlanTTic Research Center University of Vigo VigoE-36310 Spain School of Telecommunication Engineering Department of Signal Theory and Communications University of Vigo VigoE-36310 Spain National Research University Higher School of Economics Moscow101000 Russia
A commercial quantum key distribution (QKD) system needs to be formally certified to enable its wide deployment. The certification should include the system’s robustness against known implementation loopholes and att... 详细信息
来源: 评论
Dimensionality-driven orthorhombic MoTe2 at room temperature
arXiv
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arXiv 2018年
作者: He, Rui Zhong, Shazhou Kim, Hyun Ho Ye, Gaihua Ye, Zhipeng Winford, Logan McHaffie, Daniel Rilak, Ivana Chen, Fangchu Luo, Xuan Sun, Yuping Tsen, Adam W. Department of Electrical and Computer Engineering Texas Tech University LubbockTX79409 United States Department of Physics University of Northern Iowa Cedar FallsIA50614 United States Institute for Quantum Computing University of Waterloo WaterlooONN2L 3G1 Canada Department of Physics University of Waterloo WaterlooONN2L 3G1 Canada Department of Chemistry University of Waterloo WaterlooONN2L 3G1 Canada Key Laboratory of Materials Physics Institute of Solid State Physics Chinese Academy of Sciences Hefei230031 China University of Science and Technology of China Hefei230026 China High Magnetic Field Laboratory Chinese Academy of Sciences Hefei230031 China Collaborative Innovation Centre of Advanced Microstructures Nanjing University Nanjing210093 China
We use a combination of Raman spectroscopy and transport measurements to study thin flakes of the type-II Weyl semimetal candidate MoTe2 protected from oxidation. In contrast to bulk crystals, which undergo a phase tr... 详细信息
来源: 评论
Machine Learning in Nuclear Physics
arXiv
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arXiv 2021年
作者: Boehnlein, Amber Diefenthaler, Markus Sato, Nobuo Schram, Malachi Ziegler, Veronique Fanelli, Cristiano Hjorth-Jensen, Morten Horn, Tanja Kuchera, Michelle P. Lee, Dean Nazarewicz, Witold Ostroumov, Peter Orginos, Kostas Poon, Alan Wang, Xin-Nian Scheinker, Alexander Smith, Michael S. Pang, Long-Gang Thomas Jefferson National Accelerator Facility 12000 Jefferson Avenue Newport NewsVA United States Laboratory for Nuclear Science Massachusetts Institute of Technology CambridgeMA02139 United States The NSF AI Institute for Artificial Intelligence and Fundamental Interactions United States Facility for Rare Isotope Beams Department of Physics and Astronomy Michigan State University MI48824 United States Department of Physics Center for Computing in Science Education University of Oslo OsloN-0316 Norway Department of Physics The Catholic University of America N. E. Washington DC20064 United States Department of Physics Department of Mathematics & Computer Science Davidson College NC28035 United States Department of Physics William & Mary WilliamsburgVA United States Nuclear Science Division Lawrence Berkeley National Laboratory 1 Cyclotron Road BerkeleyCA94720 United States Accelerator Operations and Technology Division Applied Electrodynamics Group Los Alamos National Laboratory Los AlamosNM87544 United States Physics Division Oak Ridge National Laboratory Oak RidgeTN37831-6354 United States Key Laboratory of Quark and Lepton Physics Institute of Particle Physics Central China Normal University Wuhan430079 China
Advances in machine learning methods provide tools that have broad applicability in scientific research. These techniques are being applied across the diversity of nuclear physics research topics, leading to advances ... 详细信息
来源: 评论
Multi-Agent Reinforcement Learning based Edge Content Caching for Connected Autonomous Vehicles in IoV
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ACM Transactions on Autonomous and Adaptive Systems 1000年
作者: Xiaolong Xu Linjie Gu Muhammad Bilal Maqbool Khan Yiping Wen Guoqiang Liu Yuan Yuan School of Software Jiangsu Province Engineering Research Center of Advanced Computing and Intelligent Services Nanjing University of Information Science and Technology China Changwang School of Honors Nanjing University of Information Science and Technology China Department of Computer and Electronics Systems Engineering Hankuk University of Foreign Studies Korea Department of IT and Computer Science Pak-Austria Fachhochschule-Institute of Applied Sciences and Technology Pakistan School of Computer Science and Engineering Hunan University of Science and Technology China School of Software Nanjing University of Information Science and Technology China School of Computer Science and Engineering Beihang University State Key Laboratory of Software Development Environment Zhongguancun Laboratory China
Connected Autonomous Vehicle (CAV) Driving, as a data-driven intelligent driving technology within the Internet of Vehicles (IoV), presents significant challenges to the efficiency and security of real-time data manag... 详细信息
来源: 评论
Integrated lithium niobate photonic computing circuit based on efficient and high-speed electro-optic conversion
arXiv
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arXiv 2024年
作者: Hu, Yaowen Song, Yunxiang Zhu, Xinrui Guo, Xiangwen Lu, Shengyuan Zhang, Qihang He, Lingyan Franken, C.A.A. Powell, Keith Warner, Hana Assumpcao, Daniel Renaud, Dylan Wang, Ying Magalhães, Letícia Rosborough, Victoria Shams-Ansari, Amirhassan Li, Xudong Cheng, Rebecca Luke, Kevin Yang, Kiyoul Barbastathis, George Zhang, Mian Zhu, Di Johansson, Leif Beling, Andreas Sinclair, Neil Loncar, Marko John A. Paulson School of Engineering and Applied Sciences Harvard University CambridgeMA02138 United States State Key Laboratory for Mesoscopic Physics and Frontiers Science Center for Nano-optoelectronics School of Physics Peking University Beijing100871 China Quantum Science and Engineering Harvard University CambridgeMA02138 United States Department of Electrical and Computing Engineering University of Virginia CharlottesvilleVA22903 United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States HyperLight Corporation 501 Massachusetts Ave CambridgeMA02139 United States Laser Physics and Nonlinear Optics Group Department of Science and Technology MESA+ Institute of Nanotechnology University of Twente Enschede Netherlands Freedom Photonics 41 Aero Camino GoletaCA United States Department of Mechanical Engineering Massachusetts Institute of Technology CambridgeMA02139 United States Department of Materials Science and Engineering National University of Singapore Singapore117575 Singapore Singapore138634 Singapore
The surge in artificial intelligence applications, encompassing machine vision, autonomous driving, remote sensing, and process simulation, relies on efficient and large-scale data processing. This requires highly sca... 详细信息
来源: 评论
Corrigendum to “Trajectory design and resource allocation for UAV energy minimization in a rotary-wing UAV-enabled WPCN” [Alex. Eng. J. 60(1) (2021) 1787–1796]
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Alexandria Engineering Journal 2022年 第12期61卷 11003-11003页
作者: Zhen Wang Miaowen Wen Shuping Dang Lisu Yu Yuhao Wang School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing 100876 China School of Information Engineering Nanchang University Nanchang 330031 China School of Electronic and Information Engineering South China University of Technology Guangzhou 510641 China Department of Electrical and Electronic Engineering University of Bristol Bristol BS8 1UB UK State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China
来源: 评论
基于漏电变化表征的参数偏差在线预测方法
基于漏电变化表征的参数偏差在线预测方法
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第七届中国测试学术会议
作者: Jin Song 靳松 Han Yinhe 韩银和 Xu Qiang 徐强 Department of Electronic and Communication Engineering School of Electrical and Electronic Engineer 华北电力大学电气与电子工程学院电子与通信工程系 保定071003 State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of 中国科学院计算技术研究所计算机体系结构国家重点实验室 北京100190 CUhk REliable Computing Laboratory(CURE) Department of Computer Science&Engineering The Chinese Un 香港中文大学计算机科学与工程系
负偏置温度不稳定(NBTI)引发的动态参数偏差给集成电路的生命期可靠性带来严重威胁。已有的方法主要通过设计片上检测电路实时监测关键通路的时延偏差来阻止NBTI导致的电路失效。然而,不断恶化的静、动参数偏差,不断增加的设计复杂度... 详细信息
来源: 评论
Author Correction: Determining protein structures in cellular lamella at pseudo-atomic resolution by GisSPA
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Nature communications 2024年 第1期15卷 3423页
作者: Jing Cheng Tong Liu Xin You Fa Zhang Sen-Fang Sui Xiaohua Wan Xinzheng Zhang National Laboratory of Biomacromolecules CAS Center for Excellence in Biomacromolecules Institute of Biophysics Chinese Academy of Sciences Beijing 100101 China. High Performance Computer Research Center Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China. State Key Laboratory of Membrane Biology Beijing Advanced Innovation Center for Structural Biology School of Life Sciences Tsinghua University Beijing 100084 China. Beijing Institute of Technology Beijing 100081 China. Beijing Institute of Technology Beijing 100081 China. wanxiaohua@***. National Laboratory of Biomacromolecules CAS Center for Excellence in Biomacromolecules Institute of Biophysics Chinese Academy of Sciences Beijing 100101 China. xzzhang@***.
来源: 评论
Intelligent non-invasive elderly fall monitoring by designing software defined radio frequency sensing system
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Digital Communications and Networks 2024年
作者: Adeel Akram Muhammad Bilal Khan Najah Abed Abu Ali Qixing Zhang Awais Ahmad Muhammad Shahid Iqbal Syed Atif Moqurrab Laboratory for Intelligent Sensing and Computing Institute of Advanced Technology University of Science and Technology of China Hefei 230031 Anhui China State Key Laboratory of Fire Science University of Science and Technology of China Hefei 230026 Anhui China College of IT United Arab Emirates University Al-Ain 15551 United Arab Emirates Department of Electrical and Computer Engineering COMSATS University Islamabad Attock 43600 Pakistan College of Computer and Information Sciences Imam Muhammad Ibn Saud Islamic University (IMSIU) Riyadh 11432 Kingdom of Saudi Arabia Department of Computer Science and Information Technology Women University of AJ&K Bagh Pakistan School of Computing Gachon University 1342 Seongnam-daero Sujeong-gu Seongnam-si 13120 Korea
The global increase in life expectancy poses challenges related to the safety and well-being of the elderly population, especially in relation to falls. While falls can lead to significant cognitive impairments, timel... 详细信息
来源: 评论
Author Correction: Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer
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Nature communications 2021年 第1期12卷 4370页
作者: Xueyi Zheng Zhao Yao Yini Huang Yanyan Yu Yun Wang Yubo Liu Rushuang Mao Fei Li Yang Xiao Yuanyuan Wang Yixin Hu Jinhua Yu Jianhua Zhou Department of Ultrasound Sun Yat-Sen University Cancer Center State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer Medicine Guangzhou China. Department of Electronic Engineering Fudan University Shanghai China. Paul C. Lauterbur Research Center for Biomedical Imaging Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China. The key laboratory of medical imaging computing and computer assisted intervention of Shanghai Shanghai China. Department of Electronic Engineering Fudan University Shanghai China. jhyu@***. The key laboratory of medical imaging computing and computer assisted intervention of Shanghai Shanghai China. jhyu@***. Department of Ultrasound Sun Yat-Sen University Cancer Center State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer Medicine Guangzhou China. zhoujh@***.
来源: 评论