eBook - Artificial Intelligence and Quantum Computing for Advanced Wireless Networks
Available Exclusively as an eBook | Part of the AI eBook Collection | Only for Institutional Purchase | Publication Year: 2022
Description
This book provides a comprehensive guide on implementing artificial intelligence and quantum computing in large-scale wireless networks. It covers machine learning fundamentals, neural networks, quantum communications, optimization theories, and AI-based algorithms for network deployment, control, and optimization, with practical case studies in Python and R. Ideal for engineers, researchers, and students in communication and computer science.
Table of Contents
Part I Artificial Intelligence, 1
1 Introduction
2 Machine Learning Algorithms
3 Artificial Neural Networks
4 Explainable Neural Networks
5 Graph Neural Networks
6 Learning Equilibria and Games
7 AI Algorithms in Networks
Part II Quantum Computing
8 Fundamentals of Quantum Communications
9 Quantum Channel Information Theory
10 Quantum Error Correction
11 Quantum Search Algorithms
12 Quantum Machine Learning
13 QC Optimization
14 Quantum Decision Theory
15 Quantum Computing in Wireless Networks
16 Quantum Network on Graph
17 Quantum Internet