Preface, xiii Part I Artificial Intelligence, 1 1 Introduction, 3 1.1 Motivation, 3 1.2 Book Structure, 5 2 Machine Learning Algorithms, 17 2.1 Fundamentals, 17 2.2 ML Algorithm Analysis, 37 3 Artificial Neural Networks, 55 3.1 Multi-layer Feedforward Neural Networks, 55 3.2 FIR Architecture, 60 3.3 Time Series Prediction, 68 3.

4 Recurrent Neural Networks, 69 3.5 Cellular Neural Networks (CeNN), 81 3.6 Convolutional Neural Network (CoNN), 84 4 Explainable Neural Networks, 97 4.1 Explainability Methods, 99 4.2 Relevance Propagation in ANN, 103 4.3 Rule Extraction from LSTM Networks, 110 4.4 Accuracy and Interpretability, 112 5 Graph Neural Networks, 135 5.1 Concept of Graph Neural Network (GNN), 135 5.

2 Categorization and Modeling of GNN, 144 5.3 Complexity of NN, 156 6 Learning Equilibria and Games, 179 6.1 Learning in Games, 179 6.2 Online Learning of Nash Equilibria in Congestion Games, 196 6.3 Minority Games, 202 6.4 Nash Q-Learning, 204 6.5 Routing Games, 211 6.6 Routing with Edge Priorities, 220 7 AI Algorithms in Networks, 227 7.

1 Review of AI-Based Algorithms in Networks, 227 7.2 ML for Caching in Small Cell Networks, 237 7.3 Q-Learning-Based Joint Channel and Power Level Selection in Heterogeneous Cellular Networks, 243 7.4 ML for Self-Organizing Cellular Networks, 252 7.5 RL-Based Caching, 267 7.6 Big Data Analytics in Wireless Networks, 274 7.7 Graph Neural Networks, 279 7.8 DRL for Multioperator Network Slicing, 291 7.

9 Deep Q-Learning for Latency-Limited Network Virtualization, 302 7.10 Multi-Armed Bandit Estimator (MBE), 317 7.11 Network Representation Learning, 327 Part II Quantum Computing, 361 8 Fundamentals of Quantum Communications, 363 8.1 Introduction, 363 8.2 Quantum Gates and Quantum Computing, 372 8.3 Quantum Fourier Transform (QFT), 386 9 Quantum Channel Information Theory, 397 9.1 Communication Over a Channel, 398 9.2 Quantum Information Theory, 401 9.

3 Channel Description, 407 9.4 Channel Classical Capacities, 414 9.5 Channel Quantum Capacity, 431 9.6 Quantum Channel Examples, 437 10 Quantum Error Correction, 451 10.1 Stabilizer Codes, 458 10.2 Surface Code, 465 10.3 Fault-Tolerant Gates, 471 10.4 Theoretical Framework, 474 11 Quantum Search Algorithms, 499 11.

1 Quantum Search Algorithms, 499 11.2 Physics of Quantum Algorithms, 510 12 Quantum Machine Learning, 543 12.1 QML Algorithms, 543 12.2 QNN Preliminaries, 547 12.3 Quantum Classifiers with ML: Near-Term Solutions, 550 12.4 Gradients of Parameterized Quantum Gates, 560 12.5 Classification with QNNs, 568 12.6 Quantum Decision Tree Classifier, 575 13 QC Optimization, 593 13.

1 Hybrid Quantum-Classical Optimization Algorithms, 593 13.2 Convex Optimization in Quantum Information Theory, 601 13.3 Quantum Algorithms for Combinatorial Optimization Problems, 609 13.4 QC for Linear Systems of Equations, 614 13.5 Quantum Circuit, 625 13.6 Quantum Algorithm for Systems of Nonlinear Differential Equations, 628 14 Quantum Decision Theory, 637 14.1 Potential Enablers for Qc, 637 14.2 Quantum Game Theory (QGT), 641 14.

3 Quantum Decision Theory (QDT), 665 14.4 Predictions in QDT, 676 15 Quantum Computing in Wireless Networks, 693 15.1 Quantum Satellite Networks, 693 15.2 QC Routing for Social Overlay Networks, 706 15.3 QKD Networks, 713 16 Quantum Network on Graph, 733 16.1 Optimal Routing in Quantum Networks, 733 16.2 Quantum Network on Symmetric Graph, 744 16.3 QWs, 747 16.

4 Multidimensional QWs, 753 17 Quantum Internet, 773 17.1 System Model, 775 17.2 Quantum Network Protocol Stack, 789 References, 814 Index, 821.