Download or read book Artificial Intelligence and Quantum Computing for Advanced Wireless Networks written by Savo G. Glisic and published by John Wiley & Sons. This book was released on 2022-04-11 with total page 884 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR ADVANCED WIRELESS NETWORKS A comprehensive presentation of the implementation of artificial intelligence and quantum computing technology in large-scale communication networks Increasingly dense and flexible wireless networks require the use of artificial intelligence (AI) for planning network deployment, optimization, and dynamic control. Machine learning algorithms are now often used to predict traffic and network state in order to reserve resources for smooth communication with high reliability and low latency. In Artificial Intelligence and Quantum Computing for Advanced Wireless Networks, the authors deliver a practical and timely review of AI-based learning algorithms, with several case studies in both Python and R. The book discusses the game-theory-based learning algorithms used in decision making, along with various specific applications in wireless networks, like channel, network state, and traffic prediction. Additional chapters include Fundamentals of ML, Artificial Neural Networks (NN), Explainable and Graph NN, Learning Equilibria and Games, AI Algorithms in Networks, Fundamentals of Quantum Communications, Quantum Channel, Information Theory and Error Correction, Quantum Optimization Theory, and Quantum Internet, to name a few. The authors offer readers an intuitive and accessible path from basic topics on machine learning through advanced concepts and techniques in quantum networks. Readers will benefit from: A thorough introduction to the fundamentals of machine learning algorithms, including linear and logistic regression, decision trees, random forests, bagging, boosting, and support vector machines An exploration of artificial neural networks, including multilayer neural networks, training and backpropagation, FIR architecture spatial-temporal representations, quantum ML, quantum information theory, fundamentals of quantum internet, and more Discussions of explainable neural networks and XAI Examinations of graph neural networks, including learning algorithms and linear and nonlinear GNNs in both classical and quantum computing technology Perfect for network engineers, researchers, and graduate and masters students in computer science and electrical engineering, Artificial Intelligence and Quantum Computing for Advanced Wireless Networks is also an indispensable resource for IT support staff, along with policymakers and regulators who work in technology.
Download or read book Wireless Quantum Networks Volume 2 written by Savo G. Glisic and published by Wiley-IEEE Press. This book was released on 2023-06-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive description of the principles, algorithms, design technology, quantum machine learning and quantum physics in quantum computing and communications. Current work on quantum computers is motivated by the need for significantly faster and more powerful computers, and there are already in use so-called near-term quantum computers, with initial, reduced capabilities used for research and further enhancement of the technology. The outcome is distributed quantum computing which requires quantum networks to enable connections between such computers, which is a focus of this book. Moving from introductory to advanced level, this is a step-by-step approach, with numerous design examples throughout for students to work on. This is a stand-alone volume, and onward reading is available in Wireless Quantum Networks Volume 1: Intelligent Continuous Variable Technology. Topics covered in Volume 2 include: Quantum Key Distribution; Reinforcement Learning Based on Protocols; Satellite QN; Post-Quantum Cryptography; qubit Physics; Implementation Examples; and more.
Download or read book Wireless Quantum Networks Volume 1 written by Savo G. Glisic and published by Wiley-IEEE Press. This book was released on 2023-06-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive description of the principles, algorithms, design technology, quantum machine learning and quantum physics in quantum computing and communications. Unifying several disciplines in the field, especially computing and communication, the book also covers computing and artificial intelligence (quantum machine learning), quantum cyber security, quantum circuit design, and relative quantum physics phenomena. Based on the latest results in the field, enabling the reader/researcher to understand these interrelations of a complex system in practice, the book moves from introductory to advanced level, step by step, providing a self-contained text. Undergraduate and postgraduate students will find several DESIGN EXAMPLES to replace the classical concept of using “problems and solutions” addendums at the end of the chapters/book. This enables offering more sophisticated assignments for the teamwork of the students. This is a stand-alone volume, and onward reading is available in Volume 2 Quantum Vs Post Quantum Security/Algorithms and Design Technology. Topics covered in Volume 1 include: Visible Light Communication; Terahertz Communications; Optical Wireless Communications; Quantum Key Distribution over THz band; Deep Neural Networks; Quantum Network Routing and Technology Design; Quantum Machine Learning; and more.
Download or read book Quantum Networks and Their Applications in AI written by Ananth, Christo and published by IGI Global. This book was released on 2024-08-15 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: The union of quantum networks and artificial intelligence marks a pivotal moment in the trajectory of technological advancement. This encompasses data security, optimization, finance, high-precision sensors, simulations, and computer applications. Numerous quantum information and processing systems have been created and proven in labs, fields, and commercial settings during the last few decades. Quantum technologies have received considerable support for research and development from corporations and governments. However, considerable work is required to bring quantum technology-based gadgets and systems to consumers' homes. Quantum Networks and Their Applications in AI investigates the potential uses of artificial intelligence and related technologies in quantum networks and to educate the computational intelligence community about current advances in quantum information technology. The purpose of this research topic is to bring together individuals from academia and industry, from the classical and quantum artificial intelligence communities in order to discuss the theory, technology, and applications of quantum technologies, and to exchange ideas on how to efficiently advance the engineering and development of this fascinating field. Covering topics such as machine learning, management systems, and quantum networks, this book is a valuable resource for computer scientists, engineers, professionals, researchers, academicians, government officials, policy makers, and more.
Download or read book Quantum Artificial Intelligence with Qiskit written by Andreas Wichert and published by CRC Press. This book was released on 2024-01-26 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum Artificial Intelligence (QAI) is a new interdisciplinary research field that combines quantum computing with Artificial Intelligence (AI), aiming to use the unique properties of quantum computers to enhance the capabilities of AI systems. Quantum Artificial Intelligence with Qiskit provides a cohesive overview of the field of QAI, providing the tools for readers to create and manipulate quantum programs on devices as accessible as a laptop computer. Introducing symbolical quantum algorithms, sub-symbolical quantum algorithms, and quantum Machine Learning (ML) algorithms, this book explains each process step by step with associated Qiskit listings. All examples are additionally available for download at https://github.com/andrzejwichert/qai. Allowing readers to learn the basic concepts of quantum computing on their home computers, this book is accessible to both the general readership as well as students and instructors of courses relating to computer science and AI.
Download or read book Wireless Quantum Networks Volume 1 written by Savo G. Glisic and published by Wiley-IEEE Press. This book was released on 2024-06-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand the future of wireless communication with this groundbreaking guide Quantum physics and quantum communications will be integral to the future of computing and telecommunications technology. Quantum technologies have applications in a vast array of advanced technological fields, including wireless technology, where communication speed, encryption, and networking methods promise to be revolutionized by their introduction. For the next generation of engineers and telecommunications experts, a thorough understanding of this groundbreaking area of research will be critical. Wireless Quantum Networks, Volume 1 promises to help readers build this understanding with a comprehensive guide. It offers thorough coverage of the principles, algorithms, and design elements underlying, due to its implementability, Intelligent Continuous Variable Quantum Technology (ICVQT), which incorporates aspects of quantum machine learning, quantum computing, and advantages in practical implementations compared with Discrete Variable counterpart. The result can be used as a stand-alone introduction to this essential subject or as the first step in a broad-based quantum computing and communication education, supplemented by Volume 2 of this series. Wireless Quantum Networks, Volume 1 readers will also find: Detailed treatment of topics including Quantum Information Theory, Deep Quantum Neural Networks, Entanglement, Quantum Network (QN) Routing, QN Topology design, Quantum Coding Theory, Quantum Computing Gates Libraries, and more Discussions grounded in the latest research, moving naturally from introductory to advanced proficiency Design examples within each chapter Wireless Quantum Networks Volume 1 is a must for computer scientists, engineers, and researchers interested in quantum communications, as well as advanced undergraduate and graduate students looking for a grounding in the subject.
Download or read book 6G The Road to the Future Wireless Technologies 2030 written by Paulo Sergio Rufino Henrique and published by CRC Press. This book was released on 2022-09-01 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the launch of Second-Generation Networks (2G), planning for each future mobile service was initiated many years before its commercial launch. In 2019, 5G Networks begun to be deployed commercially after almost ten years of planning. Similarly, the race for the 6G wireless networks that will be operational in 2030 has already started. To fulfill its potential in the upcoming decade, 6G will undoubtedly require an architectural orchestration based on the amalgamation of existing solutions and innovative technologies. The book will begin by evaluating the state of the art of all current mobile generations' while looking into their core building blocks. 6G implementation will require fundamental support from Artificial Intelligence (AI) and Machine Learning on the network's edge and core, including a new Radio Frequency (RF) spectrum. The 6G use cases will require advanced techniques for enabling the future wireless network to be human-centric, ensuring enhanced quality of experience (QoE) for most of its applications. The concept of Human Bond Communication Beyond 2050 (Knowledge Home) and Communication, Navigation, Sensing, and Services (CONASENSE) will also profit from future wireless communication. Terahertz domains will exploit the ultra-Massive Multiple Input Multiple Output Antennas (UM-MIMO) technologies to support Terabits' data throughputs.Moreover, optical wireless communications (OWC) will also come into play to support indoor and outdoor high-data rates. Further expansion of 6G core entities will support the novel concept of Society 5.0. Quantum computing processing and communications is also likely to be added into the 6G ecosystem with security managed by blockchain orchestration for a robust network.
Download or read book AI Foundations Of Quantum Machine Learning written by Jon Adams and published by Green Mountain Computing. This book was released on with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the cutting-edge intersection of quantum computing and machine learning with "AI Foundations of Quantum Machine Learning." This comprehensive guide invites readers into the exciting world where the realms of artificial intelligence (AI) and quantum mechanics merge, setting the stage for a revolution in AI technologies. With the burgeoning interest in quantum computing's vast potential, this book serves as a beacon, illuminating the intricate concepts and groundbreaking promises of quantum machine learning. Contents Quantum Computing: An Introduction - Begin your journey with a primer on quantum computing, understanding the fundamental quantum mechanics that power advanced data processing. Fundamentals of Machine Learning - Lay the groundwork with an overview of machine learning principles, setting the stage for their quantum leap. Quantum Algorithms for Machine Learning - Discover the transformative potential of quantum algorithms, capable of processing large datasets with unprecedented speed and efficiency. Data Encoding in Quantum Systems - Explore the innovative techniques for encoding data into quantum systems, a crucial step for quantum machine learning. Quantum Machine Learning Models - Delve into the heart of quantum machine learning, examining models that harness quantum mechanics to enhance machine learning capabilities. Training Quantum Neural Networks - Unpack the methodologies for training quantum neural networks, a pioneering approach to AI development. Applications of Quantum Machine Learning - Witness the practical implications of quantum machine learning across various fields, from healthcare to environmental science. Challenges and the Future Landscape - Reflect on the hurdles facing quantum machine learning and envision the future of AI shaped by quantum advancements. Introduction "AI Foundations of Quantum Machine Learning" offers a compelling narrative on the symbiosis of quantum computing and machine learning. Through accessible language and vivid examples, it demystifies complex concepts and showcases the transformative power of quantum technologies in AI. Readers are taken on an enlightening journey, from the basic principles of quantum computing to the forefront of quantum machine learning models and their applications. This book is not merely an academic text; it is a roadmap to the future, encouraging readers to envision a world where AI is redefined by quantum phenomena. Ideal for students, academics, and tech enthusiasts alike, this book bridges the gap between theoretical quantum mechanics and practical machine learning applications. Whether you're looking to understand the basics or explore the future of technology, "AI Foundations of Quantum Machine Learning" is an indispensable resource for anyone eager to grasp the next wave of technological innovation.
Download or read book Supervised Learning with Quantum Computers written by Maria Schuld and published by Springer. This book was released on 2018-08-30 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making. The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards. It aims at providing a starting point for those new to the field, showcasing a toy example of a quantum machine learning algorithm and providing a detailed introduction of the two parent disciplines. For more advanced readers, the book discusses topics such as data encoding into quantum states, quantum algorithms and routines for inference and optimisation, as well as the construction and analysis of genuine ``quantum learning models''. A special focus lies on supervised learning, and applications for near-term quantum devices.
Download or read book Real World Challenges in Quantum Electronics and Machine Computing written by Ananth, Christo and published by IGI Global. This book was released on 2024-08-05 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum computers are unparalleled in terms of computational power, and they have a multitude of promising applications. However, these computers are prone to noise and instability caused by environmental interactions, making the use of these advanced machines rather impractical in most scenarios. Despite these challenges, Real-World Challenges in Quantum Electronics and Machine Computing provides innovative solutions to navigate the complexities of quantum computation, thus offering hope during this time of turbulence. By delving into the intricacies of quantum electronics and machine computing, this book equips readers with the tools to overcome the hurdles obstructing the path to practical quantum computing. It serves as a roadmap for students, practitioners, and professionals, guiding them through the intricacies of error correction techniques and hardware development. With its comprehensive coverage of cutting-edge topics and innovative solutions, the book empowers readers to tackle the most pressing challenges facing the quantum computing landscape. As researchers and engineers strive to unlock the full potential of quantum computation, this book stands as an indispensable resource, guiding them toward a future where quantum computing transcends the realm of theory and becomes a tangible reality.
Download or read book Federated Learning for Future Intelligent Wireless Networks written by Yao Sun and published by John Wiley & Sons. This book was released on 2023-12-04 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Federated Learning for Future Intelligent Wireless Networks Explore the concepts, algorithms, and applications underlying federated learning In Federated Learning for Future Intelligent Wireless Networks, a team of distinguished researchers deliver a robust and insightful collection of resources covering the foundational concepts and algorithms powering federated learning, as well as explanations of how they can be used in wireless communication systems. The editors have included works that examine how communication resource provision affects federated learning performance, accuracy, convergence, scalability, and security and privacy. Readers will explore a wide range of topics that show how federated learning algorithms, concepts, and design and optimization issues apply to wireless communications. Readers will also find: A thorough introduction to the fundamental concepts and algorithms of federated learning, including horizontal, vertical, and hybrid FL Comprehensive explorations of wireless communication network design and optimization for federated learning Practical discussions of novel federated learning algorithms and frameworks for future wireless networks Expansive case studies in edge intelligence, autonomous driving, IoT, MEC, blockchain, and content caching and distribution Perfect for electrical and computer science engineers, researchers, professors, and postgraduate students with an interest in machine learning, Federated Learning for Future Intelligent Wireless Networks will also benefit regulators and institutional actors responsible for overseeing and making policy in the area of artificial intelligence.
Download or read book Quantum Machine Learning written by Pethuru Raj and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-08-05 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum computing has shown a potential to tackle specific types of problems, especially those involving a daunting number of variables, at an exponentially faster rate compared to classical computers. This volume focuses on quantum variants of machine learning algorithms, such as quantum neural networks, quantum reinforcement learning, quantum principal component analysis, quantum support vectors, quantum Boltzmann machines, and many more.
Download or read book AI and Blockchain Technology in 6G Wireless Network written by Malaya Dutta Borah and published by Springer Nature. This book was released on 2022-08-10 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights future research directions and latent solutions by integrating AI and Blockchain 6G networks, comprising computation efficiency, algorithms robustness, hardware development and energy management. This book brings together leading researchers in Academia and industry from diverse backgrounds to deliver to the technical community an outline of emerging technologies, advanced architectures, challenges, open issues and future directions of 6G networks. This book is written for researchers, professionals and students to learn about the integration of technologies such as AI and Blockchain into 6G network and communications. This book addresses the topics such as consensus protocol, architecture, intelligent dynamic resource management, security and privacy in 6G to integrate AI and Blockchain and new real-time application with further research opportunities.
Download or read book Wireless Algorithms Systems and Applications written by Edoardo S. Biagioni and published by Springer. This book was released on 2019-06-20 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 14th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2019, held in Honolulu, HI, USA, in June 2019. The 43 full and 11 short papers presented were carefully reviewed and selected from 143 submissions. The papers deal with new ideas and recent advances in computer systems, wireless networks, distributed applications, and advanced algorithms that are pushing forward the new technologies for better information sharing, computer communication, and universal connected devices in various environments, especially in wireless networks.
Download or read book Space Law Principles and Sustainable Measures written by Hamid Jahankhani and published by Springer Nature. This book was released on with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Quantum Computing Machine Learning Technologies written by Dr. M. Sreedevi and published by DRAFT2DIGITAL. This book was released on 2022-07-21 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum computing is a sophisticated approach to making parallel calculations, using the physics that governs subatomic particles to replace the more simplistic transistors in today’s computers. Therefore it holds the promise to solve some of our planet's biggest challenges - in the areas of environment, agriculture, health, energy, climate, materials science, and others we haven't encountered yet. For some of these problems, classical computing is increasingly challenged as the size of the system grows. When designed to scale, quantum systems will presumably have some capabilities that exceed our most powerful supercomputers. As the global community of quantum researchers, scientists, engineers, and business leaders continue to collaborate to advance the quantum ecosystem, we expect to see quantum impact accelerate across every industry. Like the first digital computers, quantum computers offer the possibility of technology exponentially more powerful than current systems. They stand to change companies, entire industries, and the world by solving problems that seem impossible today. A recent report by Gartner states that by 2023, 20% of organizations will be budgeting for quantum computing projects. As this new technology develops, organizations will face a shortage of quantum computing experts. The time to learn about quantum computing is now. Discover the business and technical implications of this new frontier in computing and how you can apply quantum computing to your organization is a greater challenge. Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. It is undeniably one of the most influential and powerful technologies in today’s world. More importantly, we are far from seeing its full potential. There’s no doubt, it will continue to be making headlines for the foreseeable future. Machine learning is a tool for turning information into knowledge. In the past 50 years, there has been an explosion of data. This mass of data is useless unless we analyze it and find the patterns hidden within. Machine learning techniques are used to automatically find the valuable underlying patterns within complex data that we would otherwise struggle to discover. The hidden patterns and knowledge about a problem can be used to predict future events and perform all kinds of complex decision making.
Download or read book An Introduction to Machine Learning written by Vineeta Shrivastava and published by Blue Rose Publishers. This book was released on 2023-02-06 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: The First Edition of the book ''An Introduction to Machine Learning'' combines theory and practice, explaining important methods such as classical linear and logistic regression, deep learning, and neural network with a detailed explanation, all variants of models, suitable examples, and Python code snippets.
