Quantum Computing and Machine Learning for 6G

Pallavi Sapkale, Shilpa Mehta, S. Balamurugan

• Publisher: Wiley-Scrivener
• Year: 2026
• Print ISBN: 9781394238088
• eBook ISBN: 9781394238095
• Edition: 1
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

Secure your expertise in the next frontier of wireless technology with this essential book, which provides a deep dive into the integration of machine learning and quantum computing to build the necessary infrastructure for 6G communication networks.

Despite the potential benefits of 6G, the technology to enable its realization is not yet available. As a result, the development of technology to solve these challenges must be met before we can start working towards 6G. The primary applications of machine learning within 6G are to create necessary infrastructure advantages as the technology matures. Additionally, 6G communication networks use quantum computing to detect, mitigate, and prevent security vulnerabilities. By integrating machine learning and quantum computing into 5G and 6G technology, intelligent base stations will be able to make decisions for themselves, and mobile devices will be able to create dynamically adaptable clusters based on learned data. This book highlights the role of real-time network learning and the integration of quantum computing, machine learning, and quantum machine learning to enhance service quality. It provides a deep dive into the interplay of these technologies within 6G networks, starting from 5G fundamentals. The book elaborates on how these advanced technologies will underpin 6G's architecture to meet comprehensive service demands, including those for smart city applications requiring extensive coverage, ultra-low latency, and reliable connectivity. The book details how the synergy between quantum computing, machine learning, and 6G technologies will transform communications, revolutionize markets, and enable groundbreaking applications globally.

Readers will find the volume:

• Explores real-world scenarios for illustrating the integration of quantum computing and machine learning in 6G;
• Covers an extensive range of applications to illustrate the full picture of 6G that implements machine learning and quantum computing approaches;
• Offers expert insights through a comprehensive collection of literature reviews and research articles;
• Introduces the interdisciplinary innovations and potential of 6G across multiple industries.

Audience

Scientists, industry professionals, researchers, academicians, instructors, and students working in quantum computing and machine learning, especially in the context of advanced wireless communication technology.

Table of contents

• Cover
• Table of Contents
• Series Page
• Title Page
• Copyright Page
• Dedication Page
• Preface
• Acknowledgement
• Part I: INTRODUCTION
• Part II: QUANTUM COMPUTING
• Part III: MACHINE LEARNING
• Part IV: QUANTUM COMPUTING AND MACHINE LEARNING
• Part V: APPLICATIONS
• Index
• Also of Interest
• End User License Agreement