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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Zhao, Zhouxiang Yang, Zhaohui Chen, Mingzhe Gan, Xu Huang, Chongwen Xu, Wei Zhang, Zhaoyang Zhejiang University College of Information Science and Electronic Engineering Hangzhou China Hangzhou China University of Miami Department of Electrical and Computer Engineering Institute for Data Science and Computing Coral GablesFL33146 United States Southeast University National Mobile Communications Research Laboratory Nanjing China

ISBN: (纸本)9798350351255

In this paper, the energy efficiency maximization problem in space-air-ground integrated network (SAGIN)-enabled probabilistic semantic communication (PSC) is investigated. In the considered model, a satellite needs to transmit data to multiple ground terminals (GTs) via an unmanned aerial vehicle (UAV) acting as a relay. During transmission, the satellite and the UAV can use PSC technique to compress the transmitted data, while the GTs can automatically recover the original data. In the considered PSC system, shared probability graphs serve as a common knowledge base among the transceivers, allowing for resource-saving communication at the expense of increased computation resource. Therefore, it is important to study the trade-off between communication and computation to achieve optimal energy efficiency. The joint communication and computation problem is formulated as an optimization problem aiming to minimize the total communication and computation energy consumption of the network under latency, semantic compression ratio, and UAV location constraints. To solve this non-convex problem, we propose an alternating algorithm. Numerical results show the effectiveness of the proposed algorithm. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Near-Zero-Index Conducting Oxides for Nonlinear Photonics

Near-Zero-Index Conducting Oxides for Nonlinear Photonics

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Jaffray, W. Boltasseva, A. Shalaev, V.M. Ferrera, M. Heriot-Watt University Institute of Photonics and Quantum Sciences SUPA EdinburghEH14 4AS United Kingdom Purdue University School of Electrical and Computer Engineering West LafayetteIN47907 United States

When used within the wavelength range of vanishing permittivity, transparent conducting oxides exhibit unprecedented optical nonlinearities. These untapped optical properties are potentially disruptive for a broad ple... 详细信息

ISBN: (纸本)9781957171258

关键词： Transparent conducting oxides

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Emergent quantum mechanics at the boundary of a local classical lattice model

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Physical Review A 2023年第1期108卷 012217-012217页

作者： Kevin Slagle John Preskill Department of Electrical and Computer Engineering Rice University Houston Texas 77005 USA Department of Physics California Institute of Technology Pasadena California 91125 USA Institute for Quantum Information and Matter and Walter Burke Institute for Theoretical Physics California Institute of Technology Pasadena California 91125 USA AWS Center for Quantum Computing Pasadena California 91125 USA

We formulate a model in which quantum mechanics emerges from classical mechanics. Given a local Hamiltonian H acting on n qubits, we define a local classical model with an additional spatial dimension whose boundary dynamics is approximately—but to arbitrary precision—described by Schrödinger's equation and H. The bulk consists of a lattice of classical bits that propagate towards the boundary through a circuit of stochastic matrices. The bits reaching the boundary are governed by a probability distribution whose deviation from the uniform distribution can be interpreted as the quantum-mechanical wave function. Bell nonlocality is achieved because information can move through the bulk much faster than the boundary speed of light. We analytically estimate how much the model deviates from quantum mechanics, and we validate these estimates using computer simulations.

关键词： quantum foundations quantum theory

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Preparing a commercial quantum key distribution system for certification against implementation loopholes

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Physical Review Applied 2024年第4期22卷 044076页

作者： Vadim Makarov Alexey Abrikosov Poompong Chaiwongkhot Aleksey K. Fedorov Anqi Huang Evgeny Kiktenko Mikhail Petrov Anastasiya Ponosova Daria Ruzhitskaya Andrey Tayduganov Daniil Trefilov Konstantin Zaitsev Skolkovo Moscow 121205 Russia Vigo Quantum Communication Center NTI Center for Quantum Communications Department of Physics Faculty of Science Institute for Quantum Computing Department of Physics and Astronomy Quantum technology foundation (Thailand) Bangkok 10110 Thailand QRate Skolkovo Moscow 143026 Russia Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer Science and Technology Moscow 119991 Russia atlanTTic Research Center School of Telecommunication Engineering Department of Signal Theory and Communications Moscow 101000 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 attacks that exploit them. Here we ready a fiber-optic QKD system for this procedure. The system has a prepare-and-measure scheme with decoy-state BB84 protocol, polarization encoding, a qubit source rate of 312.5 MHz, and is manufactured by QRate. We detail its hardware and postprocessing. We analyze the hardware for known implementation loopholes, search for possible new loopholes, and discuss countermeasures. We then amend the system design to address the highest-risk loopholes identified. We also work out technical requirements on the certification lab and outline its possible structure.

关键词： quantum communication quantum cryptography quantum protocols

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MRI Brain Tumor Classification Using Optimized APSO-LLRBFNN 2

MRI Brain Tumor Classification Using Optimized APSO-LLRBFNN

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2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025

作者： Krishna, Tiruveedula Gopi Sreenivas, Nune Ajay Kumar, M. Reddy, Chandra Sekhar Rathee, Davinder Sing Urgessa, Teklu College of Electrical Engineering and Computing Adama Science and Technology University Department of Computer Science and Engineering Adama Ethiopia Andhra Loyala institute of Engineering and Technology Department of Electrical and Electronics Engineering Vijayawada India College of Electrical Engineering and Computing Adama Science and Technology University Department of Electrical Power and Control Engineering Adama Ethiopia College of Electrical Engineering and Computing Adama Science and Technology University Department of ECE Adama Ethiopia

ISBN: (纸本)9798331505745

The research presents a new efficient machine learning method to classify brain tumors because this task remains vital in fighting the high incidence of brain cancers. The proposed approach unites all its operations including image segmentation with feature extraction and classification into a single processing system. This study uses Particle Swarm Optimization (PSO) and Adaptive PSO (APSO) methodologies to optimize Locally Linear Radial Basis Function Neural Network (LLRBFNN) resulting in PSO-LLRBFNN and APSO-LLRBFNN model implementations. The research examined the optimized APSO-LLRBFNN models against Support Vector Machines (SVM) and Least Mean Squares (LMS) based LLRBFNN classifier methods. Results from experiments show that APSO-LLRBFNN gives superior outcomes with 98.93% accuracy and takes 12.23 seconds for execution, which surpasses currently available methods. © 2025 IEEE.

关键词： Particle swarm optimization (PSO)

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ContrastMask: A Novel Perturbation-Based Method for Explaining Network Intrusion Detection

ContrastMask: A Novel Perturbation-Based Method for Explaini...

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2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024

作者： Zhu, Shuai Wang, Di Mao, Shiwen Wang, Xuyu Guangzhou Institute of Technology Xidian University Guangzhou China School of Computer Science and Technology Xidian University Xi’an China Department of Electrical and Computer Engineering Auburn University AuburnAL United States Knight Foundation School of Computing & Information Sciences Florida International University MiamiFL United States

ISBN: (纸本)9798350350548

Recently, there has been a surge in cyberattacks targeting the Internet of Health Things (IoHT), increasing the urgency for advancing network intrusion detection systems (IDS). Machine learning techniques, especially deep neural networks (DNNs), are demonstrating potential in improving the precision of detection methods. Despite their advantages, the complexity of DNNs can obscure their decision-making process, impacting their acceptance in security-critical environments. To improve the transparency of DNN models, we propose a novel post-hoc interpretation method that applies a perturbation-based approach with an optimized mask applied to an autoencoder model for IDS. More importantly, we leverage contrastive learning to maintain perturbed samples within the original feature space, reducing the risk of misclassification due to sample drift and ensuring a clear interpretation of the mask. We validate our approach using the NSL-KDD and UNSW15 datasets, showing that it provides clearer and more robust explanations compared to existing methods. This enhancement in interpretability is pivotal for healthcare cybersecurity experts to gain insights into the decision-making processes of black-box models. © 2024 IEEE.

关键词： Network intrusion

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Challenges in Cyber Physical Social Systems and Internet of Things 5

Challenges in Cyber Physical Social Systems and Internet of ...

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5th International Conference on Smart Electronics and Communication, ICOSEC 2024

作者： Revathi, S. Raja, J. Mohanraj, M. Malathi, K. Mallala, Balasubbareddy Vidhya, R.G. B.S. Abdur Rahman Crescent Institute of Science and Technology Department of Computer Science Engineering Chennai India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology School of Computing Department of Computer Science and Engineering Chennai India Sri Eshwar college of engineering Department of Computer Science and Business Systems Coimbatore India Saveetha Engineering College Department of Artificial Intelligence and Machine Learning Chennai India Chaitanya Bharathi Institute of Technology Department of Electrical and Electronics Engineering Telangana Hyderabad India Hkbk College of Engineering Department of Ece Bangalore India

ISBN: (纸本)9798331504403

This research analyses the complex dynamics of Cyber-Physical-Social Systems (CPSS), encompassing cyber-physical systems, cybersecurity, the Internet of Things (IoT), and social media. By exploring the interactions among these elements, this study analyses the vulnerabilities, risks, and potential benefits within the CPSS framework. This research study analyses the evolving landscape of cybersecurity by considering various aspects such as data integrity, privacy in the IoT era, and the influence of social media on user behaviour and influence dynamics. The study also introduces innovative strategies to enhance CPSS resilience, including methods to mitigate cyber threats and enhance overall system integrity. Additionally, we investigate how social media shapes CPSS behaviours, offering valuable insights into influence dynamics. This research advances the comprehensive understanding of CPSS to support future studies and advancements in the protection and improvement of interconnected systems. © 2024 IEEE.

关键词： Cyber-Physical Systems Cyber-Physical-Social Systems (CPSS) Cybersecurity Internet of Things (IoT) Social Media

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Compact and Low-Cost Scanning Electron Microscope

Compact and Low-Cost Scanning Electron Microscope

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International Conference on Vacuum Nanoelectronics (IVNC)

作者： Casimir Kuzyk Alexander Dimitrakopoulos R. Fabian Pease Alireza Nojeh Department of Electrical and Computer Engineering Quantum Matter Institute University of British Columbia Vancouver BC Canada Department of Electrical Engineering Stanford University Stanford CA USA

The scanning electron microscope (SEM) yields lifelike images with inherently better resolution and depth of focus than a light microscope, but can be prohibitively expensive. About a decade ago we started a project t... 详细信息

ISBN: (数字)9798350379761

ISBN: (纸本)9798350379778

关键词： Scanning electron microscopy Image resolution Costs Microscopy Prototypes Forestry Nanoelectronics

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Site-controlled QD embedded coupled photonic crystal cavity waveguides for on-chip photon routing

Site-controlled QD embedded coupled photonic crystal cavity ...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Huang, Jiahui Liu, Wei Miranda, Alessio Dwir, Benjamin Rudra, Alok Kapon, Eli Wong, Chee Wei Mesoscopic Optics and Quantum Electronics Laboratory Department of Electrical and Computer Engineering University of California Los AngelesCA United States Institute of Physics École Polytechnique Fédérale de Lausanne Lausanne Switzerland

We demonstrate the on-chip photon routing on a site-controlled quantum dots embedded W1 photonic crystal waveguides side coupled to a L3 cavity. Observed photon propagation through the device indicates the connectivit... 详细信息

ISBN: (纸本)9781957171258

关键词： Photons

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Maxwell-Schrödinger Modeling of Multi-Qubit Effects in a Superconducting Circuit quantum Device

Maxwell-Schrödinger Modeling of Multi-Qubit Effects in a Su...

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US National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)

作者： Ghazi Khan Thomas E. Roth Elmore Family School of Electrical and Computer Engineering Purdue University Indiana USA Purdue Quantum Science and Engineering Institute Purdue University Indiana USA

ISBN: (数字)9781946815200

ISBN: (纸本)9798331513979

Creating effective modeling strategies to simulate quantum circuit initialization, control, and readout is essential for making practical quantum computers. Current modeling approaches are often limited because they utilize full-wave computational electromagnetics tools inefficiently or depend on user-intensive curve-fitting approaches, both untenable to the massive scaling up required to model useful quantum devices. In this work, we build upon previous Maxwell-Schrödinger methods (T. E. Roth and S. T. Elkin, “Maxwell-Schrödinger Modeling of a Superconducting Qubit Coupled to a Transmission Line Network,” IEEE Journal on Multiscale and Multiphysics Computational Techniques, vol. 9, Jan. 2024) by extending them to model coupled superconducting transmon qubits embedded in transmission line networks. Coupled qubits play a prominent role in quantum devices. They are essential for multi-qubit gates that generate entanglement, which is necessary for any practical quantum computing algorithm. Our method is pertinent for the common case of transmons operating in the dispersive regime where the operating frequency of the electromagnetic (EM) resonator is far detuned from the transition frequencies of the qubits coupled to it. We start from the self-consistent equations of motion developed in the original work. These equations treat the system semi-classically, meaning the EM effects are incorporated classically while the transmon dynamics are evaluated quantum mechanically. We build upon this system by incorporating the multi-qubit exchange coupling rate into the formalism. This quantity characterizes the quantum effects needed to design intentional multi-qubit gates, but also is important in assessing unintentional quantum crosstalk that occurs. This exchange coupling rate can be efficiently evaluated through our prior work (G. Khan and T. E. Roth, “Field-Based Formalism for Calculating Multi-Qubit Exchange Coupling Rates for Transmon Qubits,” arXiv preprint arXiv:2406.054

关键词： Couplings Power transmission lines Qubit Superconducting transmission lines Resonant frequency Logic gates Mathematical models Integrated circuit modeling quantum circuit Superconducting microwave devices

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