Читать книгу Artificial Intelligence and Quantum Computing for Advanced Wireless Networks - Savo G. Glisic - Страница 9

At this stage, it is anticipated that 6G wireless networks will be based on massive use of machine learning (ML) and artificial intelligence (AI), while 7G will already include hybrids of classical and quantum computing (QC) technologies. In anticipation of this evolution‚ we have structured the book to continuously move, through a series of chapters, from the presentation of ML algorithms to the final chapter covering the principles of quantum internet. In this process, we also provide chapters covering the complex relationship between the two technologies, on topics such as quantum ML, quantum game theory, and quantum decision theory. The focus of the book is not on the problem how to construct a quantum computer but rather how QC technology enables new paradigms in the modeling, analysis, and design of communication networks, what is nowadays referred to as QC‐enabled communications. These new paradigms benefit from the significant computation speedup enabled by the computing parallelism of quantum computers and the new quantum search algorithms developed so far for big data processing. Quantum cryptography and quantum key distribution (QKD) enable new solutions to the problem of security in advanced networks.

This book is also designed to facilitate a new concept in education in this field. Instead of the classical approach of providing a list of problems at the end of a chapter, we introduce a series of design examples throughout the book that require teamwork by a group of students for solving complex design problems, including reproduction of the results presented in the book. This approach turned out to be rather popular with our students at University of Massachusetts at Amherst. We hope that the book provides useful material for not only students but also for researchers, educators, and regulatory professionals in this field.

The Authors

January 2021

Amherst, Massachusetts