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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Zhu, Yujiao Chen, Mingzhe Wang, Sihua Liu, Yuchen Li, Gaolei Yin, Changchuan Quek, Tony Q.S. Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Network Beijing100876 China Singapore University of Technology and Design 487372 Singapore University of Miami Department of Electrical and Computer Engineering Institute for Data Science and Computing Coral GablesFL33146 United States North Carolina State University Department of Computer Science RaleighNC27695 United States Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering Shanghai200240 China

ISBN: (纸本)9798350351255

In this paper, the optimization of unmanned aerial vehicle (UAV) localization under jamming attacks is studied. In the considered network, a base station (BS) collaborates with an active UAV to localize a target UAV. During this positioning process, a jamming UAV transmits discontinuous signals to passive UAVs to interfere the distance information measurement. To localize the target UAV under jamming attacks, the BS jointly use two localization methods: 1) generative adversarial network (GAN)-based positioning method and 2) time difference of arrival (TDOA)-based positioning method. Since GAN-based positioning method cannot defense in a strong jamming signal while TDOA-based positioning method may consume more energy and sacrifice localization accuracy, the BS must select an appropriate positioning method (GAN-based or TDOA-based methods) and four distance measurement information of passive UAVs to estimate the position of the target UAV. This problem is formulated as an optimization problem whose goal is to minimize the positioning error between the estimated and the ground truth positions of the target UAV while considering jamming attacks and the trajectory of passive UAVs. To solve this problem, we propose a mixture Gaussian distribution model-based collaborative reinforcement learning (RL) method which enables the active UAV to determine its transmit power and trajectory, and enables the BS to select the most appropriate subsets of distance measurement information and the optimal positioning method according to the movement of passive UAVs and the unknown jamming attack pattern of the jamming UAV. Simulation results show the proposed method can reduce the positioning error of the target UAV by up to 36.5% compared to the method that does not consider the GAN-based positioning method. © 2024 IEEE.

关键词： Gaussian distribution

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Spatiotemporal single-photon Airy wavepackets

Spatiotemporal single-photon Airy wavepackets

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Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023

作者： Wang, Jianmin Zuo, Ying Wang, Xingchang Christodoulides, Demetrios N. Siviloglou, Georgios A. Chen, J.F. Shenzhen Institute for Quantum Science and Engineering Southern University of Science and Technology Shenzhen518055 China International Quantum Academy Shenzhen518048 China Guangdong Provincial Key Laboratory of Quantum Science and Engineering Southern University of Science and Technology Shenzhen518055 China Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los AngelesCA90089 United States Department of Physics Southern University of Science and Technology Shenzhen518048 China

We have demonstrated for the first time spatiotemporal nonspreading quantum Airy photons with long coherence times by merging quantum optics in cold atomic ensembles and nondiffracting spatial photonics. © Optica... 详细信息

ISBN: (纸本)9781957171296

关键词： Parametric down conversion Photonic entanglement quantum communications quantum information quantum optics Spatial light modulators

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Enhanced ferromagnetism in an artificially stretched lattice in quasi-two-dimensional Cr2Ge2Te6

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Physical Review B 2025年第2期111卷 L020402-L020402页

作者： Hiroshi Idzuchi Andres E. Llacsahuanga Allcca Anh Khoa Augustin Lu Mitsuhiro Saito Subhadip Das John F. Ribeiro Michel Houssa Ruishen Meng Kazutoshi Inoue WPI Advanced Institute for Materials Research (AIMR) Tohoku University Sendai 980-8577 Japan Center for Science and Innovation in Spintronics (CSIS) Tohoku University Sendai 980-8577 Japan Department of Physics and Astronomy Purdue University West Lafayette Indiana 47907 USA Department of Physics The University of Tokyo Bunkyo-ku Tokyo 113-0033 Japan Birck Nanotechnology Center and Purdue Quantum Science and Engineering Institute Purdue University West Lafayette Indiana 47907 USA Mathematics for Advanced Materials Open Innovation Laboratory National Institute of Advanced Industrial Science and Technology Sendai 980-8577 Japan Research Center for Materials Nanoarchitectonics National Institute for Materials Science Tsukuba 305-0044 Japan Institute of Engineering Innovation The University of Tokyo Tokyo 113-8656 Japan Institute of Physics and Astronomy and Villum Centers for Dirac Materials and for Hybrid Quantum Materials and Devices Aarhus University 8000 Aarhus-C Denmark School of Electrical and Computer Engineering Purdue University West Lafayette Indiana 47907 USA Department of Physics and Astronomy Katholieke Universiteit Leuven 3001 Leuven Belgium

Crystal lattice is key in understanding magnetic interactions between atoms in solids. As the effective control of the lattice via tensile stress is limited, there are only a few demonstrations of controlling magnetic properties by expanding the lattice. This study reveals a clear correlation between enhanced magnetism, where Curie temperature (TC) is doubled from ∼60 to ∼120 K, and lattice expansion in prototypical van der Waals magnet Cr2Ge2Te6 with sputtered dielectric overlayers NiO and MgO. We ascribe the mechanism of this TC increase to a change in exchange interactions induced by strain, studied by several experimental probes and computational approaches.

关键词： Van der Waals forces

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Efficiency Improvement of Panels Using Thermoelectric Cooling Technique 3

Efficiency Improvement of Panels Using Thermoelectric Coolin...

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3rd IEEE Asian Conference on Innovation in Technology, ASIANCON 2023

作者： Sharma, Ashish Garg, Rinku Sarawagi, Anshul Dixit, Krishna Kant Singh, Amandeep Alkhayyat, Ahmed Chandigarh University Electrical Engineering Department Mohali India University Institute of Computing Chandigarh University Mohali India Ies College of Technolgy Department of Cse Bhopal India Gla University Department of Electrical Engineering Mathura India Gulzar Group of Institutions Department of Computer Applications Punjab Khanna India College of Technical Engineering The Islamic University Najaf Iraq

ISBN: (纸本)9798350302288

Solar energy, with its vast potential as a sustainable energy source, is quickly rising to prominence. As the temperature of a PV panel rises, its efficiency drops. Therefore, when the temperature rises, the power output of the PV module decreases unless the heat is removed. The efficiency of PV panels could be improved with the help of module cooling. This thermoelectric system is utilized for cooling purposes. Combining photovoltaic (PV) and thermoelectric (Thermoelectric) modules can improve the overall efficiency of the solar energy conversion system by maintaining a consistent temperature. There has been research into thermoelectricity and a model of PV-Thermoelectric combo produced to show how effective these two types of modules may be when combined. The research demonstrates the effectiveness of a thermoelectric cooling system in improving the electric conversion efficiency of a PV array. If the heat is not dissipated, a PV module's output power decreases as its temperature rises. © 2023 IEEE.

关键词： Timing circuits

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Extracting and Storing Energy From a Quasi-Vacuum on a quantum computer

arXiv

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arXiv 2024年

作者： Xie, Songbo Sajjan, Manas Kais, Sabre Department of Chemistry Department of Electrical and Computer Engineering Purdue Quantum Science and Engineering Institute Purdue University West LafayetteIN47907 United States Department of Electrical and Computer Engineering North Carolina State University RaleighNC27606 United States

We explore recent advancements in the understanding and manipulation of vacuum energy in quantum physics, with a focus on the quantum energy teleportation (QET) protocol. Traditional QET protocols extract energy from what we refer to as a "quasi-vacuum" state, but the extracted quantum energy is dissipated into classical devices, limiting its practical utility. To address this limitation, we propose an enhanced QET protocol that incorporates an additional qubit, enabling the stored energy to be stored within a quantum register for future use. We experimentally validated this enhanced protocol using IBM superconducting quantum computers, demonstrating its feasibility and potential for future applications in quantum energy manipulation. Copyright © 2024, The Authors. All rights reserved.

关键词： quantum computers

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Magneto-optical measurements of the negatively charged 2s exciton in WSe2

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Physical Review B 2022年第8期106卷 L081409-L081409页

作者： J. C. Sell J. R. Vannucci D. G. Suárez-Forero B. Cao D. W. Session H.-J. Chuang K. M. McCreary M. R. Rosenberger B. T. Jonker S. Mittal M. Hafezi Joint Quantum Institute NIST and University of Maryland College Park Maryland 20742 USA Nova Research Incorporated Washington DC 20375 USA Naval Research Laboratory Washington DC 20375 USA Department of Aerospace and Mechanical Engineering University of Notre Dame Notre Dame Indiana 46556 USA Department of Electrical and Computer Engineering Northeastern University Boston Massachusetts 02115 USA Department of Electrical Engineering and Institute for Research in Electronics and Applied Physics University of Maryland College Park Maryland 20742 USA

Monolayer transition metal dichalcogenides (TMDs) host a variety of optically excited quasiparticle species that stem from two-dimensional confinement combined with relatively large carrier effective masses and reduced dielectric screening. The magnetic response of these quasiparticles gives information on their spin and valley configurations, nuanced carrier interactions, and insight into the underlying band structure. Recently, there have been several reports of 2s/3s charged excitons in TMDs, but very little is still known about their response to external magnetic fields. Using photoluminescence excitation spectroscopy, we observe the presence of the 2s charged exciton and report its response to an applied magnetic field. We benchmark this response against the neutral exciton and find that both the 2s neutral and charged excitons exhibit similar behavior with g factors of gX02s=−5.20±0.11 and gX−2s=−4.98±0.11, respectively.

关键词： Excitons Magneto-optical effect Trions quantum wells Semiconductor compounds Transition metal dichalcogenides Dilution refrigerator Photoluminescence

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Time-Refraction with Moving Time-Interfaces

Time-Refraction with Moving Time-Interfaces

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Segal, Ohad Lustig, Eran Sana, Soham Bordo, Eliyahu Chowdhury, Sarah N. Cohen, Moshe-Ishay Fleischer, Avner Ozlu, Mustafa Boltasseva, Alexandra Cohen, Oren Shalaev, Vladimir M. Segev, Mordechai Physics Department and 'Solid' State Institute Technion-Israel Institute of Technology Haifa Israel Ginzton Laboratory Department of Electrical Engineering Stanford University StanfordCA94305 United States Elmore Family School of Electrical and Computer Engineering Purdue Quantum Scienceand Engineering Institute Purdue University West LafayetteIN United States Birck Nanotechnology Center Purdue University West LafayetteIN47907 United States SchoolofChemistry TelAviv University Israel

We present an experimental study of time-refraction with propagating time-interfaces. We observe the special spectral signature of time-reflections generated by these interfaces, paving the way for their experimental ... 详细信息

ISBN: (纸本)9781957171258

关键词： Refraction

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Self-Injection Locking to Mitigate the Impact of Chip-Scale Reflections in Hybrid-Integrated quantum-Well Lasers

Self-Injection Locking to Mitigate the Impact of Chip-Scale ...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Esmaeeli, Omid Yu, Shangxuan Mitchell, Matthew Chrostowski, Lukas Shekhar, Sudip Department of Electrical and Computer Engineering The University of British Columbia VancouverBC Canada Stewart Blusson Quantum Matter Institute The University of British Columbia VancouverBC Canada Dream Photonics Inc. VancouverBC Canada Dream Photonics Inc. WoodinvilleWA United States

We investigate the dynamics of quantum-well DFB lasers when they are hybrid-integrated via a photonic wire bond to a silicon photonic integrated circuit (PIC). By controlling the phase and amplitude of self-injection,... 详细信息

ISBN: (纸本)9781957171395

关键词： System-on-chip

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Graph-Informed Neural Networks with Green Anaconda Optimization Algorithm Based on Automated Classification of Condition of Mental Health Using Alpha Band EEG Signal 4

Graph-Informed Neural Networks with Green Anaconda Optimizat...

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4th International Conference on Sustainable Expert Systems, ICSES 2024

作者： Kushwaha, Sumit Kondaveeti, Sivakrishna Vasanthi, S. Mary Thamba Meshach, W. Rani, D. Leela Megala, J. University Institute of Computing Chandigarh University Department of Computer Applications Punjab 140413 India Mlr Institute of Technology Department of CSE-AIML Telangana Hyderabad500043 India St Xavier's Catholic College of Engineering Department of Electronics and Communication Engineering Tamil Nadu Nagercoil629003 India Prathyusha Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai602025 India School of Engineering Mohan Babu University Department of Electronics and Communication Engineering Andhra Pradesh Tirupati517102 India S.A.Engineering College Department of Electrical and Electronics Engineering Tamil Nadu 600077 India

ISBN: (纸本)9798331540364

Mental Health Status (MHS) Using Alpha Band EEG Signal' is the process of evaluating and categorizing a person's mental state by examining the electroencephalogram (EEG) recording of their alpha wave activity, which usually occurs between 8 and 13 Hz. The goal of this method is to find alpha wave patterns that correspond, but the existing methods have IoT of disadvantages such as, low precision, low accuracy and high error rate. mental health issues. To overcome these problems, Graph-informed neural networks with Green Anaconda Optimization Algorithm (G-INN- GAOA) is proposed. In this, input data is taken from two dataset such as AVEC2013 and AVEC2014 datasets. It pre-processed data using Memory-Boosted Guidance Filtering (M-BGF), Following that, Next, the Alpha Band EEG Signal for Mental Health Status is the features extracted using One-Dimensional Spectrum (O-DS), Following that Feature selection using White Shark Optimizer (WSO) and classification Graph-informed neural networks (G-INN) and the optimization using Green Anaconda Optimization Algorithm (GAOA) for detecting the type of Mental Health Status and to find the Neutral, Focus, Relax for MHS. The introduced system is executed in python. The efficiency of the proposed BAQNN-SGA is analyzed using a datasets and attains 99.9% accuracy, 99.8% recall and attains better results compared with the existing methods. This indicates the approach's superior efficiency and potential for further development in the field. © 2024 IEEE.

关键词： Electroencephalography

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Tight Analysis of Convex Splitting with Applications in quantum Information Theory

Tight Analysis of Convex Splitting with Applications in Quan...

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2023 IEEE International Symposium on Information Theory, ISIT 2023

作者： Cheng, Hao-Chung Gao, Li Department of Electrical Engineering Graduate Institute of Communication Engineering Taipei106 Taiwan Department of Mathematics National Taiwan University Taipei106 Taiwan Center for Quantum Science and Engineering National Taiwan University Taiwan Quantum Computing Center New Taipei City236 Taiwan Physics Division National Center for Theoretical Sciences Taipei10617 Taiwan University of Houston Department of Mathematics HoustonTX77204 United States

ISBN: (纸本)9781665475549

Convex splitting is a powerful technique in quantum information theory that applies to proving the achievability of numerous information-processing protocols. In this paper, we establish a one-shot error exponent and a one-shot strong converse for convex splitting with trace distance as the error criterion. Our result exhibits the following features. Firstly, the derived error exponent is given in terms of a generalized sandwiched Rényi mutual information which is additive for product states. Hence, our bound directly applies to the n-fold product scenario for any blocklength. Secondly, the one-shot error bound is meaningful in the sense that the error exponent is all positive on the achievable rate region. This leads to new one-shot exponent results in various tasks in quantum information theory. Conversely, we prove a one-shot strong converse to demonstrate that the convex splitting error converges to one exponentially fast at rates outside the achievable rate region. We also establish an optimal one-shot characterization of the sample complexity for convex splitting, which yields matched second-order asymptotics, showing the tightness of our result. This then leads to a stronger one-shot analysis in quantum information *** technique is to introduce a unified functional analytic approach using Kosaki's noncommutative weighted Lp norm. Our results then follow from tight analysis based on such a norm *** full version of the manuscript can be found at [arXiv:2304.12055] [1]. © 2023 IEEE.

关键词： Errors

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