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11th International Symposium on Electronic Systems Devices and Computing, ESDC 2023

作者： Rengasamy, Karthikeyan Joshi, Piyush Raveendra, V.V.S. Indian Institute of Information Technology Department of Computer Science Chittoor India Tata Consultancy Services Bfsi Chennai India

ISBN: (纸本)9781665455725

Rapid advancements in image and video processing technologies are poised to create remarkable impacts on a wide range of industries. A significant challenge in these processing technologies resides in identifying the features fed for image classification algorithms. Though all classification algorithms could identify, extract and classify the features of a given image, their accuracy is directly proportional to the number of sample points taken from the image using a sampling technique. As the accuracy improves with a substantial number of sample points, the time consumed to process them looms large. These challenges beseech enormous computing power. quantum computers avowed exceptional computing power is expected to bridge the growing demands. To address these challenges effectively, we have chosen a specific problem, Facial Expression Analysis, to explore in-depth and arrive at a purposeful approach to deliver the desired outcome. The purpose of this paper is two-pronged. Perform a comparative study of accuracy and performance of classical and quantum image processing algorithms in classical and quantum computers, respectively. Secondly, devise a novel hybrid model using a quantum distance-based classifier augmented with a classical linear support vector machine to overcome the limitations observed. Sample image features derived from the quantum classifier were used to train the linear classifier. The results were observed to be better relative to results from the classical distance-based classifier. Holistically, the novel hybrid model is observed as a promising solution for all image classification problems. Our future work will focus on sophisticated usage of a linear classification algorithm in quantum computing. © 2023 IEEE.

关键词： Image classification

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quantum computing for smart grid applications

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IET GENERATION TRANSMISSION & DISTRIBUTION 2022年第21期16卷 4239-4257页

作者： Ullah, Md Habib Eskandarpour, Rozhin Zheng, Honghao Khodaei, Amin Penn State Harrisburg Elect Engn & Elect Engn Technol Middletown PA USA Resilient Entanglement Denver CO USA ComEd Smart Grid & Technol Oak Brook IL USA Univ Denver Elect & Comp Engn Denver CO 80208 USA

Computational complexities in modern power systems are reportedly increasing daily, and it is anticipated that traditional computers might be inadequate to provide the computation prerequisite in future complex power grids. In that given context, quantum computing (QC) can be considered a next-generation alternative solution to deal with upcoming computational challenges in smart grids. The QC is a relatively new yet promising technology that leverages the unique phenomena of quantum mechanics in processing information and computations. This emerging paradigm shows a significant potential to overcome the barrier of computational limitations with better and faster solutions in optimization, simulations, and machine learning problems. In recent years, substantial progress in developing advanced quantum hardware, software, and algorithms have made QC more feasible to apply in various research areas, including smart grids. It is evident that considerable research has already been carried out, and such efforts are remarkably continuing. As QC is a highly evolving field of study, a brief review of the existing literature will be vital to realize the state-of-art on QC for smart grid applications. Therefore, this article summarizes the research outcomes of the most recent papers, highlights their suggestions for utilizing QC techniques for various smart grid applications, and further identifies the potential smart grid applications. Several real-world QC case studies in various research fields besides power and energy systems are demonstrated. Moreover, a brief overview of available quantum hardware specifications, software tools, and algorithms is described with a comparative analysis.

关键词： future complex power grids computational limitations computational complexity quantum mechanics power grids utilizing QC techniques traditional computers modern power systems smart grids computation prerequisite potential smart grid applications quantum computing available quantum hardware specifications next-generation alternative solution smart power grids advanced quantum hardware energy systems computational complexities real-world QC case studies power engineering computing learning (artificial intelligence)

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31st International Symposium on String processing and information Retrieval, SPIRE 2024

31st International Symposium on String Processing and Inform...

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31st International Symposium on String processing and information Retrieval, SPIRE 2024

ISBN: (纸本)9783031721991

The proceedings contain 26 papers. The special focus in this conference is on String processing and information Retrieval. The topics include: Indexing Finite-State Automata Using Forward-Stable Partitions;burst Edit Distance;generalization of Repetitiveness Measures for Two-Dimensional Strings;on Computing the Smallest Suffixient Set;revisiting the Folklore Algorithm for Random Access to Grammar-Compressed Strings;logarithmic-Time Internal Pattern Matching Queries in Compressed and Dynamic Texts;bounded-Ratio Gapped String Indexing;simultaneously Building and Reconciling a Synteny Tree;quantum algorithms for Longest Common Substring with a Gap;online Computation of String Net Frequency;on the Number of Non-equivalent Parameterized Squares in a String;another Virtue of Wavelet Forests;all-Pairs Suffix-Prefix on Dynamic Set of Strings;adaptive Dynamic Bitvectors;compressed Graph Representations for Evaluating Regular Path Queries;greedy Conjecture for the Shortest Common Superstring Problem and Its Strengthenings;faster Computation of Chinese Frequent Strings and Their Net Frequencies;faster algorithms for Ranking/Unranking Bordered and Unbordered Words;computing String Covers in Sublinear Time;LZ78 Substring Compression with CDAWGs;2d Side-Sharing Tandems with Mismatches;faster and Simpler Online/Sliding Rightmost Lempel-Ziv Factorizations;Space-Efficient SLP Encoding for O(log N)-Time Random Access;simple Linear-Time Repetition Factorization.

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Variational quantum solutions to the advection-diffusion equation for applications in fluid dynamics

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quantum information processing 2022年第9期21卷 322-322页

作者： Demirdjian, Reuben Gunlycke, Daniel Reynolds, Carolyn A. Doyle, James D. Tafur, Sergio CNR Monterey CA 93943 USA Naval Res Lab Washington DC 20375 USA Naval Res Lab Monterey CA 93943 USA NavAir Warfare Ctr Aircraft Div Patuxent River MD 20770 USA

Constraints in power consumption and computational power limit the skill of operational numerical weather prediction by classical computing methods. quantum computing could potentially address both of these challenges. Herein, we present one method to perform fluid dynamics calculations that takes advantage of quantum computing. This hybrid quantum-classical method, which combines several algorithms, scales logarithmically with the dimension of the vector space and quadratically with the number of nonzero terms in the linear combination of unitary operators that specifies the linear operator describing the system of interest. As a demonstration, we apply our method to solve the advection-diffusion equation for a small system using IBM quantum computers. We find that reliable solutions of the equation can be obtained on even the noisy quantum computers available today. This and other methods that exploit quantum computers could replace some of our traditional methods in numerical weather prediction as quantum hardware continues to improve.

关键词： Earth and atmospheric sciences Partial differential equations Linear system of equations Fluid mechanics

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Benchmarking quantum Processor Performance through quantum Distance Metrics Over An Algorithm Suite 36

Benchmarking Quantum Processor Performance through Quantum D...

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36th IEEE International Parallel and Distributed processing Symposium (IEEE IPDPS)

作者： Stein, Samuel Wiebe, Nathan Ang, James Li, Ang Pacific Northwest Natl Lab Richland WA 99352 USA

ISBN: (纸本)9781665497473

quantum computing is poised to solve computational paradigms that classical computing could never feasibly reach. Tasks such as prime factorization to quantum Chemistry are examples of classically difficult problems that have analogous algorithms that are sped up on quantum computers. To attain this computational advantage, we must first traverse the noisy intermediate scale quantum (NISQ) era, in which quantum processors suffer from compounding noise factors that can lead to unreliable algorithm induction producing noisy results. We describe QASMBench, a suite of QASM-level (quantum assembly language) benchmarks that challenge all realisable angles of quantum processor noise. We evaluate a large portion of these algorithms by performing density matrix tomography on 14 IBMQ quantum devices.

关键词： Performance evaluation Computers Distributed processing Program processors quantum chemistry Conferences Benchmark testing

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Controlling quantum Systems for Computation and Communication

Controlling Quantum Systems for Computation and Communicatio...

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作者： Li, Bikun Virginia Polytechnic Institute and State University

学位级别：博士

quantum information processing has the potential of implementing faster algorithms for numerous problems, communicating with more secure channels, and performing higher pre- cision sensing compared to classical methods. Recent experimental technology advancement has brought us a promising future of harnessing such quantum advantage. Yet, quantum engineering entails wise control and strategy under the current noisy intermediate-scale quan- tum era. Developing robust and efficient approaches to manipulating quantum systems based on constrained and limited resources is imperative. This dissertation focuses on two major topics theoretically. In the first part, this work present how to conceive robust quantum control on matter-based qubits with a geometric approach. We have proposed the method of designing noise robust control pulses suitable for practical devices by combining spatial curves, filter functions, and machine learning. In the second part, this work stresses the topic of photonic multipartite entangled graph states. An improved protocol of generating arbitrary graph states is introduced. We show that one can efficiently find the deterministic photon emission circuit with minimal overhead on the number of quantum emitters.

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Leveraging AI-Driven Chatbots for Legal Literacy: Advanced Computing and Communication Technologies for Legal Awareness

Leveraging AI-Driven Chatbots for Legal Literacy: Advanced C...

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2024 International Conference on Artificial Intelligence and quantum Computation-Based Sensor Applications, ICAIQSA 2024

作者： Trivedi, Chetan Kumar, Sunil Mohd, Imran Bhalla, Rajiv Ahmad Lone, Naseer Dogra, Disha University Institute of Legal Studies Chandigarh University Punjab India

ISBN: (纸本)9798331517953

In a democratic society, public legal awareness is crucial for empowering citizens with knowledge of their rights and obligations. However, the vast complexity and volume of legal information can make it difficult for non-experts to access and understand their legal standing. This paper explores the development and deployment of AI-driven chatbot systems aimed at enhancing public legal literacy. These systems leverage advanced computing techniques, including natural language processing (NLP) and machine learning (ML) algorithms, to process legal queries and deliver personalized legal information to users in real time. The architecture, scalability, and implementation challenges of deploying these chatbots across diverse communication platforms (e.g., web, mobile) are examined. Additionally, the paper addresses the potential of these systems to bridge the gap in legal knowledge for underserved populations and discusses the importance of real-time communication technologies for ensuring effective system performance. Finally, the paper explores future advancements to further integrate AI and communication technologies for widespread legal literacy. © 2024 IEEE.

关键词： Natural language processing systems

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PHM Fault Diagnosis algorithms, Devices and Systems Based on Edge Computing with quantum Genetic Algorithm Optimised XGBoost 8th

PHM Fault Diagnosis Algorithms, Devices and Systems Based on...

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8th International Conference on Computing, Control and Industrial Engineering, CCIE 2024

作者： Gao, Mingliang Fu, Changzhao Gao, Shan Tang, Yu Wu, Jianguo Sun, Yi Edge Computing Business Unit of Inspur Electronic Information Industry Co. Ltd. Shandong Jinan250013 China CRRC Changchun Railway Vehicles Co. Ltd. Changchun China EVYD Technology Sdn Bhd Sengkurong B Brunei

ISBN: (纸本)9789819769339

Traditional fault diagnosis methods are significantly challengeable for treating predictive maintenance (PHM) systems, which have high complexity and intensive data, especially real-time data. Thus, an edge computing based PHM fault diagnosis method with a XGBoost model optimized by quantum genetic algorithm (QGA) is proposed herein. It aims to improve the accuracy and real-time performance while diagnosing faults on combination of the efficient data processing capability of edge computing and the fast global optimization property of quantum genetic algorithm. Such an optimized XGBoost model is used on edge computing nodes for monitoring and diagnosing faults of device status at real time. According to the test results, compared with traditional methods, the accuracy and response time of fault diagnosis has been significantly improved, especially while processing large and high-dimensional industrial data. In conclusion, XGBoost optimized by the PHM fault diagnosis algorithm, device and system based on edge computing quantum genetic algorithm can efficiently and accurately diagnose faults, with comprehensive application potential and significantly practical significance.. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： quantum computers

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Imaging System and Design Based on quantum Dot Infrared Focal Plane Detector

Imaging System and Design Based on Quantum Dot Infrared Foca...

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7th International Conference on Electronics Technology, ICET 2024

作者： Jiang, Yang Wang, Mohan Xue, Xu Fang, Xiaomeng Liu, Xiang Tao, Zhi Nanjing University of Information Science & Technology School of Electronic & Information Engineering NanJing China

ISBN: (纸本)9798350363951

This paper presents the hardware and software design of an imaging system based on a planar colloidal quantum dot short-wave infrared focal plane detector. The system accomplishes the collection, image processing, and imaging display of the output signal from a 640 × 512 planar colloidal quantum dot short-wave infrared focal plane detector. Given the non-uniform response of the focal plane array device and issues such as striped fixed pattern background and blind elements, the study employs FPGA as the hardware platform to investigate nonuniformity correction and blind element detection algorithms for infrared images. Real-time non-uniformity correction is achieved through this algorithm, effectively improving image quality and reducing non-uniformity from 9. 4 8 % to 5.36 %. Experimental results from real-time infrared image processing indicate that the imaging processing system successfully performs image collection, processing, and imaging display. It demonstrates higher sensitivity and resolution for 0.9-1.7 μ m infrared light, lower cost, and the ability to capture clearer image details, handling high-contrast scenes without distortion. © 2024 IEEE.

关键词： Image enhancement

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Monitoring and Secure Communications for Small Modular Reactors 4th

Monitoring and Secure Communications for Small Modular React...

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4th International Conference on Dynamic Data Driven Applications Systems, DDDAS 2022

作者： Pantopoulou, Maria Pantopoulou, Stella Roberts, Madeleine Kultgen, Derek Tsoukalas, Lefteri Heifetz, Alexander Nuclear Science and Engineering Division Argonne National Laboratory ArgonneIL60439 United States School of Nuclear Engineering Purdue University West LafayetteIN47906 United States Department of Physics University of Chicago ChicagoIL60637 United States

ISBN: (纸本)9783031526695

Autonomous, safe and reliable operations of Small Modular Reactors (SMR), and advanced reactors (AR) in general, emerge as distinct features of innovation flowing into the nuclear energy space. Digitalization brings to the fore of an array of promising benefits including, but not limited to, increased safety, higher overall efficiency of operations, longer SMR operating cycles and lower operation and maintenance (O&M) costs. On-line continuous surveillance of sensor readings can identify incipient problems, and act prognostically before process anomalies or even failures emerge. In principle, machine learning (ML) algorithms can anticipate key performance variables through self-made process models, based on sensor inputs or other self-made models of reactor processes, components and systems. However, any data obtained from sensors or through various ML models need to be securely transmitted under all possible conditions, including those of cyber-attacks. quantum information processing offers promising solutions to these threats by establishing secure communications, due to unique properties of entanglement and superposition in quantum physics. More specifically, quantum key distribution (QKD) algorithms can be used to generate and transmit keys between the reactor and a remote user. In one of popular QKD communication protocols, BB84, the symmetric keys are paired with an advanced encryption standard (AES) protocol protecting the information. In this work, we use ML algorithms for time series forecasting of sensors installed in a liquid sodium experimental facility and examine through computer simulations the potential of secure real-time communication of monitoring information using the BB84 protocol. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： quantum cryptography

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