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Quantum Sensing and Nano Electronics and Photonics XX 2024

作者： McPhillips, Lisa N. Rawat, Amita Ahamed, Ahasan Saif Islam, M. Department of Electrical Engineering Computer Science University of California – Davis DavisCA95616 United States

ISBN: (纸本)9781510670501

The direct-current (DC) linearity of a photodiode is a parameter that indicates the direct proportionality between the input optical power and the output response current. This linear relationship defines the optical power range using which the performance limits of the photodiode control circuitry such as A/D conversion, trans-impedance amplifier, and quenching circuits are designed. Due to the absorption saturation and self-heating, the response current of the photodiode starts to saturate at higher optical power. A narrow absorber region in state-of-the-art photodiodes (avalanche and PIN photodiodes) results in an early absorption saturation in addition to a reduction in absorption efficiency. We present a photon-trapping microstructure (PTMS) equipped-avalanche photodiodes (APD) to enhance the absorption efficiency and DC linearity. We have fabricated a mesa-based APD using complementary metal oxide semiconductor (CMOS)-compatible processes. We present a DC current-voltage comparison of APDs in the dark and under the illumination of a wide wavelength range varying from 640 nm to 1100 nm. The fabricated PTMS-equipped APDs exhibit 5× increase in the external quantum efficiency as opposed to that of a flat device and a 70 unit multiplication gain. Further, the PTMS-equipped APDs demonstrate an increased linearity of 106.04 dB in comparison to 104.83 dB linearity in the flat device. The introduction of PTMS, despite the reduction of net-absorber volume, enables a uniform spread of the input illumination power by bending the light laterally and results in increased absorption efficiency and DC linearity. © 2024 SPIE. All rights reserved.

关键词： CMOS integrated circuits

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Graphene Photodetector for Time-of-Flight Optical Ranging Using Optoelectronic Mixing

Graphene Photodetector for Time-of-Flight Optical Ranging Us...

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CLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics

作者： Kienitz, Paul Bablich, Andreas Bornemann, Rainer Müller, Maurice Bolívar, Peter Haring University of Siegen Department of Electrical Engineering and Computer Science Hölderlinstrasse 3 Siegen57076 Germany

A graphene optoelectronic mixer device utilizing indirect Time-of-Flight (ToF) for enhanced 3D imaging applications is presented. The prototype enables ranging up to 1 m with a mean accuracy of 25.6 mm. © Optica ... 详细信息

关键词： Photodetectors

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Non Linear Homogenization of Laminate Magnetic Material by Computing Equivalent Magnetic Reluctivity 14

Non Linear Homogenization of Laminate Magnetic Material by C...

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19th International Conference on Software Technologies, ICSOFT 2024

作者： Yousfi, Ghania Mohellebi, Hassane Electrotechnics Department Faculty of Electrical Engineering and Computer Science Mouloud Mammeri University Tizi-Ouzou Algeria

ISBN: (纸本)9789897587061

In the present study we present a numerical modeling of a laminate magnetic material using an homogenization technique which exploit an inverse problem resolution. The laminate magnetic material is consisting of an alternate of magnetic and insulates layers. The equivalent magnetic reluctivity is computed for the homogenized domain by considering a non linear behavior of the magnetic layers. A finite element method is used to solve the 2D non-linear electromagnetic partial differential equation. An optimization problem is constructed and solved with the association of the 2D finite element resolution and a conjugate bi-gradient algorithm. The computation of the equivalent magnetic reluctivity is then performed for different excitation field value according to B-H curve. The comparison of the obtained B-H curves of the laminate and the homogenized domains to the theoretical B-H curve (experimental data) show a good agreement of laminate results. © 2024 by SCITEPRESS – science and Technology Publications, Lda.

关键词： Inverse problems

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Finite-Time Synchronization of Complex Networks With Intermittent Couplings and Neutral-Type Delays

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IEEE/CAA Journal of Automatica Sinica 2023年第10期10卷 2026-2028页

作者： Engang Tian Yi Zou Hongtian Chen School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China

Dear Editor, This letter focuses on the finite-time synchronization(FTS) of neutral-type complex networks with intermittent couplings. Different from most of the existing references concerning neutral-type systems,a delay-independent dynamical event-triggering controller is considered, operating the same way as the intermittent coupling and excluding the Zeno behavior naturally.

关键词： neutral letter concerning

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Quantum computer-Aided Design Automation: Optimization Algorithms and Visualization Interfaces

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IEEE Nanotechnology Magazine 2023年第2期17卷 15-25页

作者： Kuo, Shu-Yu Jiang, Yu-Chi Chou, Yao-Hsin Kuo, Sy-Yen Kung, Sun-Yuan National Taiwan University Department of Physics and Center for Theoretical Physics Taipei10617 Taiwan National Taiwan University Department of Electrical Engineering Taipei10617 Taiwan National Chi Nan University Department of Computer Science and Information Engineering Nantou54561 Taiwan National Center for Theoretical Sciences Physics Division Taipei Taiwan Center for Quantum Science and Engineering Taipei Taiwan Princeton University Department of Electrical and Computer Engineering PrincetonNJ08544 United States

Quantum computing is an essential issue for taking advantage of quantum properties in real-world applications. Realizing quantum computing with a corresponding quantum circuit is a critical step. This study introduces the AngelQ system, which provides quantum computing-as-a-service (QCaaS) for the cloud. The AngelQ system integrates quantum design automation (QDA) to achieve quantum and reversible circuit synthesis by a quantum-inspired optimization (QiO) technique and has visualization software interfaces to verify the QiO process and the correctness of the synthesized quantum and reversible circuits. First, the proposed novel QiO method has four significant features: Adaptive strategy, quantum-Not gate, update mechanism by Global solutions, and Entanglement Local search, named Angel QiO. which is a flexible technique to realize various circuits under different gate libraries with a few alterations. Angel QiO can construct diversified function-equivalent circuits to assess the circuit composition and boost the development of circuit synthesis. Second, researchers can observe the QiO algorithm process and inspect the intermediate result formula through AngelQ system's visualization interface to further adjust the parameters and improve the performance. Moreover, it benefits beginners' learning and adds convenience to education. In summary, the AngelQ system can extend and facilitate the future design and automation of quantum computing. © 2007-2011 IEEE.

关键词： Optimization

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Quantum receiver enhanced by adaptive learning

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Light(science & Applications) 2022年第12期11卷 3080-3086页

作者： Chaohan Cui William Horrocks Shuhong Hao Saikat Guha Nasser Peyghambarian Quntao Zhuang Zheshen Zhang James C.Wyant College of Optical Sciences University of ArizonaTucsonAZ 85721USA Department of Materials Science and Engineering University of ArizonaTucsonAZ 85721USA Department of Electrical and Computer Engineering University of ArizonaTucsonAZ 85721USA Department of Electrical and Computer Engineering University of Southern CaliforniaLos AngelesCA 90089USA Department of Electrical Engineering and Computer Science University of MichiganAnn ArborMI 48109USA

Quantum receivers aim to effectively navigate the vast quantum-state space to endow quantum information processing capabilities unmatched by classical *** date,only a handful of quantum receivers have been constructed to tackle the problem of discriminating coherent *** receivers designed by analytical approaches,however,are incapable of effectively adapting to diverse environmental conditions,resulting in their quickly diminishing performance as the operational complexities ***,we present a general architecture,dubbed the quantum receiver enhanced by adaptive learning,to adapt quantum receiver structures to diverse operational *** adaptively learned quantum receiver is experimentally implemented in a hardware platform with record-high *** the architecture and the experimental advances,the error rate is reduced up to 40%over the standard quantum limit in two coherent-state encoding schemes.

关键词： quantum coherent matched

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Graph Neural Network-Based Node Clustering for Dual-Focused Power Network Partitioning 50

Graph Neural Network-Based Node Clustering for Dual-Focused ...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Eddin, Maymouna Ez Massaoudi, Mohamed Abu-Rub, Haitham Shadmand, Mohammad Abdallah, Mohamed Department of Electrical and Computer Engineering Texas A&M University at Qatar Doha Qatar Department of Electrical and Computer Engineering Texas A&M University College Station United States Department of Electrical and Computer Engineering University of Illinois at Chicago Chicago United States Information and Computing Technology Division Hamad Bin Khalifa University Doha Qatar

ISBN: (纸本)9781665464543

Partitioning the power system into smaller, manageable units facilitates better grid monitoring and control, thereby improving the grid’s stability and reliability. However, large-scale power networks consist of thousands of nodes and edges, which complicates the process of learning appropriate node embeddings and aggregating information from neighboring nodes. By representing power grids as undirected weighted graphs, this study proposes a novel power network partitioning approach using Graph Neural Networks (GNN). The proposed model simplifies the clustering objective by focusing on a single balancing term, which reduces computational complexity while maintaining competitive clustering performance. The power network is represented as a graph where the proposed GNN uses the normalized graph Laplacian, which effectively captures the complex connectivity of the nodes, instead of the traditional adjacency matrix. Active power levels serve as nodal attributes, ensuring that clusters represent both the physical and operational characteristics of the network. This dual-focused approach promotes a partitioning that is topologically coherent and functionally homogeneous, vital for enhanced grid management. When applied to the IEEE 14, 39, and 118 bus systems, the proposed method has successfully delineated coherent clusters of buses, underlining its potential for improving power grid management. The simulation results confirm the method’s efficacy and applicability. © 2024 IEEE.

关键词： Undirected graphs

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Transformer-Less Integrated Wind Turbine-Power Transmission Line Systems 12

Transformer-Less Integrated Wind Turbine-Power Transmission ...

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12th International Conference on Renewable Power Generation, RPG 2023

作者： Nasser Danapour, S. Mohammadi, Fazel Department of Electrical and Computer Engineering University of Tabriz Tabriz51666-67541 Iran Electrical and Computer Engineering and Computer Science Department University of New Haven West HavenCT06516 United States

The integrated wind turbine-power transmission line systems integrate wind turbines into high-voltage power transmission lines by directly interconnecting wind turbines to high-voltage power transmission lines without using high-voltage power transformers. In such systems, by considering double-circuit power transmission lines, creating a specific phase difference between two power transmission lines can lead to creating an appropriate voltage difference vector between them for injecting the power of wind turbines into power transmission lines without using high-ratio step-up power transformers. Then, a number of power transformers, which are termed receiving-end transformers, absorb the injected power of wind turbines. Such transformers increase the complexity and overall cost of the system. In this paper, an improved method for creating a voltage difference vector between two power transmission lines in an integrated wind turbine-power transmission line system is proposed. In addition, a new approach for injecting the power of wind turbines into power transmission lines and delivering to the load center without the need for receiving-end transformers is presented. The proposed method and its operation are analyzed in MATLAB/Simulink. © The Institution of engineering & Technology 2023.

关键词： Electric power transmission

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An Adaptive Metaheuristic Framework for Changing Environments 13

An Adaptive Metaheuristic Framework for Changing Environment...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Ahmed, Bestoun S. Karlstad University Department of Mathematics and Computer Science Karlstad65188 Sweden Czech Technical University in Prague Faculty of Electrical Engineering Department of Computer Science Prague16627 Czech Republic

ISBN: (纸本)9798350308365

The rapidly changing landscapes of modern optimization problems require algorithms that can be adapted in real-time. This paper introduces an Adaptive Metaheuristic Framework (AMF) designed for dynamic environments. It is capable of intelligently adapting to changes in the problem parameters. The AMF combines a dynamic representation of problems, a real-time sensing system, and adaptive techniques to navigate continuously changing optimization environments. Through a simulated dynamic optimization problem, the AMF's capability is demonstrated to detect environmental changes and proactively adjust its search strategy. This framework utilizes a differential evolution algorithm that is improved with an adaptation module that adjusts solutions in response to detected changes. The capability of the AMF to adjust is tested through a series of iterations, demonstrating its resilience and robustness in sustaining solution quality despite the problem's development. The effectiveness of AMF is demonstrated through a series of simulations on a dynamic optimization problem. Robustness and agility characterize the algorithm's performance, as evidenced by the presented fitness evolution and solution path visualizations. The findings show that AMF is a practical solution to dynamic optimization and a major step forward in the creation of algorithms that can handle the unpredictability of real-world problems. © 2024 IEEE.

关键词： Adaptive Metaheuristics Dynamic Optimization Evolutionary Computation Optimization in Changing Environments Real-Time Algorithm Adaptation

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An All-GaN 800V Three-Level PFC Converter

An All-GaN 800V Three-Level PFC Converter

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Nazerian, Emad Heydari, Mojtaba Yu, Ruiyang Huang, Alex Q. Huang, Qingyun Austin United States University of Missouri Department of Electrical Engineering and Computer Science Columbia United States

ISBN: (纸本)9798350376067

To address the range anxiety issue in battery electric vehicles (BEV), one of the most effective methods is to increase the powertrain voltage. This architecture doubles the charging power at the same current, resulting in faster charging. Today's on-board chargers (OBC) are designed for 400V power train and has lower power level. This paper discusses the design and implementation of a 22kW, 800V bidirectional DC/AC converter for 800V BEVs. Using gallium nitride (GaN) devices significantly improves the efficiency and power density of the converter. However, there's a challenge due to the limited blocking voltage of GaN devices when designing for 800V applications. To tackle this challenge, the paper employed a three-level flying capacitor topology system. This bidirectional PFC system achieves outstanding power density of 203.6W/in3 © 2024 IEEE.

关键词： Gallium nitride

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