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Solving 2 by 2 grid Sudoku Problem using Grover's Algorithm with Intel Quantum SDK 13

Solving 2 by 2 Grid Sudoku Problem using Grover's Algorithm ...

引用

13th international conference on Advanced Computer Information Technologies, ACIT 2023

作者： Shinde, Tejas Gambo, Yaknan John Rasch, Kevin Liebelt, Helena Li, Rui Deggendorf Institute of Technology High Performance Computing and Quantum Computing Deggendorf Germany Quantum Computing Research Intel Inc HillsboroOR United States Deggendorf Institute of Technology Department of Applied Computer Science Deggendorf Germany

Quantum technologies are moving towards enabling real world uses and as these technologies develop. The most important thing that differs Quantum from classical computers is that Quantum Computers can do 'multiple' tasks at the same time as opposed to the classical computers doing a single task at a time. This phenomenon has led to the discovery of a few algorithms that are faster than regular computers. One such algorithm is the Grover's Algorithm[l]. This algorithm has shown a few real-world applications such as Quantum Search Algorithm, Travelling salesman, etc[2]. In this paper, Grover's algorithm is introduced, and a 2 x 2 Sudoku example is solved using Intel Quantum Software Development Kit[3]. The Intel Quantum SDK is quite new and in this paper we show how a simple Grover's Problem can be implemented in the SDK. Sudoku is a popular number-based puzzle game played on a grid consisting of nine squares subdivided into smaller 3x3 grids. The objective is to fill the grid with numbers from 1 to 9, ensuring that each row, column, and 3x3 grid contains all numbers exactly once. © 2023 ieee.

关键词： Qubits

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A Weighted PK Graph Based Ranking Aggregation Method for Incomplete Lists

A Weighted PK Graph Based Ranking Aggregation Method for Inc...

引用

2023 international conference on Algorithms, computing and Data Processing, ACDP 2023

作者： Chen, Yuanyuan Chen, Chen Huang, Hanyan School of Systems Science and Engineering Sun Yat-sen University Guangzhou China Power Supply Branch of Ping Xiang County of Electric Power Co Ltd of Hebei of State Grid Financial Management Department Xing Tai China

ISBN: (纸本)9798350326680

Ranking aggregation is an effective method to solve the ranking problem of employee performance. PK graph is very effective in dealing with incomplete list ranking aggregation. However, the impact of malicious scoring, incomplete ranking and subjective scoring cannot be solved by it at the same time. Thus, a weighted PK graph based on the rank aggregation method is proposed in this paper, which ultimately makes the ranking results more fair, just and scientific. Firstly, a logarithmic and an exponential functions are employed as the weight to treat the difference occupied by malicious and reasonable ranking lists. Secondly, the weight is introduced to the PK graph to get the ranking result. Thirdly, a series of numerical tests are implemented to compare the proposed method with five traditional ranking aggregation methods, including PK graph, Borda count method, average ranking method, Downdall method and MVR method. The experimental results show that the proposed weighted PK graph based ranking aggregation method has significant advantages over the five traditional ranking aggregation methods in terms of its ability to cope with incomplete and subjective lists. © 2023 ieee.

关键词： Graphic methods

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UCloudStack - A Private Cloud Platform for Lightweight Delivery 7

UCloudStack - A Private Cloud Platform for Lightweight Deliv...

引用

7th ieee international conference on Smart Cloud, SmartCloud 2022

作者： Peng, Xingyu Song, Yilun Yuan, Kangjian Guo, Xu Lu, Zhihui Liu, Jie UCloud Technology Co. Ltd Shanghai China Fudan University School of Computer Science Shanghai China

ISBN: (数字)9781665451796

ISBN: (纸本)9781665451796

Cloud computing is a relatively mature business computing model, which is gradually developed from technologies such as distributed computing, parallel processing, and grid computing. Similarly, with the continuous emergence of cloud computing applications, people's understanding of cloud computing is also constantly changing. This paper designs a private cloud platform called 'UCloudStack' based on cloud computing technology. The platform can provide a complete set of cloud resource management capabilities such as unified management of core services such as virtualization, SDN network, and distributed storage, resource scheduling, monitoring logs, and operation and maintenance, helping the digital transformation of government and enterprises. © 2022 ieee.

关键词： grid computing

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An edge computing-Based Data Collection Method for Smart grid Data Acquisition System

An Edge Computing-Based Data Collection Method for Smart Gri...

引用

2023 international conference on Computer science and Automation Technology, CSAT 2023

作者： Fang, Bin Xue, Jingyuan Huang, Xin Yang, Fangliao Li, Haozhi Xu, Ning Information and Communication Branch of State Grid Hunan Electric Power Company Limited Changsha China

ISBN: (纸本)9798350371437

As an increasing number of data collection devices being integrated into the power system, the volume of data to be uploaded to the cloud is also growing annually. This data plays a crucial role in the continuous operation of the power system. However, the current method of information exchange through IoT management platforms results in a significant amount of redundant data when dealing with a massive number of collection devices. This severely limits the further widespread application of smart devices. To address this issue, this paper proposes a device information acquisition method based on edge computing. Devices are categorized and clustered according to their nature. Subsequently, data compression is achieved by comparing and consolidating identical data. The algorithm considers the timeliness of the clustering process and establishes conditions for re-clustering based on empirical design. Finally, we designed a device data collection system based on this algorithm, demonstrating its feasibility. © 2023 ieee.

关键词： Clustering algorithms

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A Brief Study on Cloud Security 14

A Brief Study on Cloud Security

引用

14th international conference on computing Communication and Networking Technologies, ICCCNT 2023

作者： Ajith, Abhay Mathew, Adharsh S Remya, S. Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Amritapuri India

ISBN: (纸本)9798350335095

Distributed, parallel, and grid computing are all used in a kind of computing known as cloud computing. It serves as a flexible, affordable, and tried-and-true online delivery platform for IT services marketed to businesses or consumers. The outsourcing of critical services to external entities has become a common practice, and this trend has led to various challenges in ensuring the security and privacy of data, maintaining data availability and recovery, and ensuring compliance. Cloud computing, in particular, has added a new layer of complexity to these issues and has introduced additional risks. Cloud computing makes use of many different technologies. Additionally, it carries along its inherent security flaws. Customer access to networks, storage, servers, services, and applications is made possible by cloud technology thanks to how well the pay-per-use model's services function. Our main goal is to locate and connect these systems' weaknesses, threats, and remedies. © 2023 ieee.

关键词： Cryptography

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Location Data Publishing Mechanism in Semi-Trusted Vehicle Networks based on Differential Privacy

Location Data Publishing Mechanism in Semi-Trusted Vehicle N...

引用

2024 international conference on Mechatronics and Intelligent Control, ICMIC 2024

作者： Zhao, Zheng Zhang, Tianhao Mao, Qian Zhao, Qi Xie, Xin Dalian Maritime University Dalian China Liaoning University Shenyang China Northeastern University Shenyang China Hunan University of Information Technology Changsha China Hunan Province Higher Education Key Laboratory of Intelligent Sensing and Computing Changsha China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

Vehicular ad-hoc networks (VANeTs) are essential in mobile ad-hoc network applications, utilizing vehicle location data. However, safeguarding the privacy and security of this data is challenging, especially with untrusted roadside units. To address this, we propose a novel differential privacy-based location data publishing mechanism. It consists of three key components: dynamic group leader selection, data aggregation, and privacy-preserving data publishing. The group leader selection algorithm is based on directional thresholds, hop cycles, and lifespans, assuming semi-trusted vehicles. Additionally, the differential privacy-based algorithm uses map grid segmentation, privacy budget recovery, and a filtering mechanism to ensure location privacy. Comparative experiments show that our scheme outperforms existing models in total hops, group leader lifetime, and mean absolute error. © 2025 SPIe.

关键词： Differential privacy

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Revisiting Performance evaluation in the Age of Uncertainty 30

Revisiting Performance Evaluation in the Age of Uncertainty

引用

30th international conference on High Performance computing, Data, and Analytics (HiPC)

作者： Bruel, Pedro Mittal, Viyom Milojicic, Dejan Faloutsos, Michalis Frachtenberg, eitan Hewlett Packard Labs Palo Alto CA 94304 USA Univ Calif Riverside Riverside CA USA

ISBN: (纸本)9798350383782;9798350383799

Given a cloud-native application, how do we accurately estimate its performance, such as run time or memory consumption? Accurate estimation is necessary to ensure that the application meets performance goals without resorting to overprovisioning of resources. Additionally, in practice, performance estimation needs to be meaningful and reproducible. Unfortunately, modern HPC systems come with numerous factors affecting performance estimation, such as heterogeneous accelerators, multilevel networks, millions of cores, layered software abstractions, and specialized middleware. each of these factors adds a degree of variability to empirical performance results. The approaches currently being taught and practiced limit performance evaluation in three ways: (1) usage of incomplete performance descriptions/metrics such as point summaries (e.g., mean, 99th-percentile or median) which hide the rich behavioral patterns in different scenarios;(2) measuring insufficient performance samples, leading to inaccurate performance description;and (3) measuring excessive performance samples, leading to waste of precious computing resources. To overcome these limitations, we propose a new approach to evaluate and reason about application performance in modern HPC in a meaningful way. Our contribution is threefold: (a) we show the difficulty of estimating performance in realistic scenarios: one performance measurement is not enough;(b) we propose to use distributions as the true measure of performance;and (c) we propose several practices and concepts to be taught to HPC students and practitioners, so that they may produce rich and accurate performance evaluations. We see our work having an impact both on educators and on practitioners.

关键词： high-performance computing (HPC) performance evaluation computer-science education benchmarking curriculum design

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emphasis Interaction Based Industry 5.0 Smart city Digital Twin's Technology 7

Emphasis Interaction Based Industry 5.0 Smart city Digital T...

引用

7th international conference on Circuit Power and computing Technologies, ICCPCT 2024

作者： Ramal, P. Janaki Anbalagan, e. Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350372816

The proposed research endeavours to establish a symbiotic relationship between Interaction-Based Industry 5.0 and smart cities, emphasizing the transformative capabilities inherent in Digital Twin technology. Digital Twin, as a central focus, provides a virtual replica of physical entities, allowing for real-time monitoring and analysis of industrial processes and urban environments. By seamlessly integrating Digital Twin with Industry 5.0 principles, this paper aims to empower smart cities in effectively managing the voluminous data generated by Internet of Things (IoT) devices. The research emphasizes the pivotal role of cloud computing in harnessing and processing the extensive datasets, ensuring that smart cities can derive actionable insights for informed decision-making. A key aspect of the proposed approach is the development of a hybrid infrastructure, leveraging diverse resources to enhance both efficiency and reliability. The envisioned synergy between Interaction-Based Industry 5.0, Digital Twin, and cloud computing is poised to revolutionize urban planning, administration, and overall intelligence in smart cities. The anticipated outcomes of this research promise to shape a more resilient and technologically advanced future for urban landscapes © 2024 ieee.

关键词： Artificial Intelligence Big Data Analytics Cloud computing Digital Twin Hybrid System Interaction-Based Technology Smart City Urban Planning

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Research and Application of Distribution Network Planning Based on Digital Twinning Technology 5

Research and Application of Distribution Network Planning Ba...

引用

5th international conference on Decision science and Management, ICDSM 2023

作者： Qiao, Junfeng Peng, Lin Zhou, Aihua Ou, Zhujian Xu, Xiaoyi Zhu, Fuyun State Grid Smart Grid Research Institute Co. Ltd State Grid Laboratory of Power Cyber-Security Protection & Monitoring Technology Nanjing210003 China State Grid Jiangsu Electric Power Co. Ltd Nantong Power Supply Company Nanjing210014 China

ISBN: (纸本)9798350325010

To satisfy the requirement of electric distribution grid planning brought by the forward annual electricity consumption growth and power grid expand, to determine where, when, and which type of substations, lines or distributed electric power generation device will be built. The future distribution network planning must adopt electric power flow, dynamic change of load and new distributed power generation in various directions, and build an electric distribution grid with grid structure. The results of distribution network planning has a huge impact on the operation efficiency of the power grid, the safety of electricity use, and the allocation of asset investment. This paper uses digital twinning, advanced computing and other technologies to divide and evaluate the scope of power supply, load characteristics, and user demand, and the scale of power facilities. With the power supply reliability demand as the core, it plans and builds a target network framework with high voltage quality, reasonable structure, flexible operation, and unified grid division standards, effectively giving play to the key role of planning in the construction and operation of distribution networks. © 2023 ieee.

关键词： Distributed power generation

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Pauli Check Sandwiching for Quantum Characterization and error Mitigation during Runtime 5

Pauli Check Sandwiching for Quantum Characterization and Err...

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2024 international conference on Quantum computing and engineering

作者： Gao, Joshua Liu, Ji Gonzales, Alvin Saleem, Zain H. Hardavellas, Nikos Smith, Kaitlin N. Virginia Tech Dept Comp Sci Blacksburg VA USA Argonne Natl Lab Math & Comp Sci Div Lemont IL USA Northwestern Univ Dept Comp Sci Evanston IL 60208 USA

ISBN: (纸本)9798331541378

This work presents a novel quantum system characterization and error mitigation framework that applies Pauli check sandwiching (PCS). We motivate our work with prior art in software optimizations for quantum programs like noise adaptive mapping and multi-programming, and we introduce the concept of PCS while emphasizing design considerations for its practical use. We show that by carefully embedding Pauli checks within a target application (i.e. a quantum circuit), we can learn quantum system noise profiles. Further, PCS combined with multi-programming unlocks non-trivial fidelity improvements.

关键词： quantum computing quantum error mitigation quantum software

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