โ Scribed by Melanie Swan, Renato P. dos Santos, Frank Witte
No coin nor oath required. For personal study only.
Quantum information and contemporary smart network domains are so large and complex as to be beyond the reach of current research approaches. Hence, new theories are needed for their understanding and control. Physics is implicated as smart networks are physical systems comprised of particle-many items interacting and reaching criticality and emergence across volumes of macroscopic and microscopic states. Methods are integrated from statistical physics, information theory, and computer science. Statistical neural field theory and the AdS/CFT correspondence are employed to derive a smart network field theory (SNFT) and a smart network quantum field theory (SNQFT) for the orchestration of smart network systems. Specifically, a smart network field theory (conventional or quantum) is a field theory for the organization of particle-many systems from a characterization, control, criticality, and novelty emergence perspective. This book provides insight as to how quantum information science as a paradigm shift in computing may influence other high-impact digital transformation technologies, such as blockchain and machine learning. Smart networks refer to the idea that the internet is no longer simply a communications network, but rather a computing platform. The trajectory is that of communications networks becoming computing networks (with self-executing code), and perhaps ultimately quantum computing networks. Smart network technologies are conceived as autonomous self-operating computing networks. This includes blockchain economies, deep learning neural networks, autonomous supply chains, self-piloting driving fleets, unmanned aerial vehicles, industrial robotics cloudminds, real-time bidding for advertising, high-frequency trading networks, smart city IoT sensors, and the quantum internet.
About the Authors
Contents
List of Figures
List of Tables
1 Introduction
Part 1: Smart Networks and Quantum Computing
2 Smart Networks: Classical and Quantum Field Theory
3 Quantum Computing: Basic Concepts
4 Advanced Quantum Computing: Interference and Entanglement
Part 2: Blockchain and Zero-Knowledge Proofs
5 Classical Blockchain
6 Quantum Blockchain
7 Zero-Knowledge Proof Technology
8 Post-quantum Cryptography and Quantum Proofs
Part 3: Machine Learning and Artificial Intelligence
9 Classical Machine Learning
10 Quantum Machine Learning
Part 4: Smart Network Field Theories
11 Model Field Theories: Neural Statistics and Spin Glass
12 Smart Network Field Theory Specification and Examples
Part 5: The AdS/CFT Correspondence and Holographic Codes
13 The AdS/CFT Correspondence
14 Holographic Quantum Error-Correcting Codes
Part 6: Quantum Smart Networks
15 AdS/Smart Network Correspondence and Conclusion
Glossary
Index
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