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Quantum Computing cover

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.

Sample Chapter(s)
Chapter 1: Introduction


Contents:
  • About the Authors
  • List of Figures
  • List of Tables
  • Introduction
  • Smart Networks and Quantum Computing:
    • Smart Networks: Classical and Quantum Field Theory
    • Quantum Computing: Basic Concepts
    • Advanced Quantum Computing: Interference and Entanglement
  • Blockchain and Zero-Knowledge Proofs:
    • Classical Blockchain
    • Quantum Blockchain
    • Zero-Knowledge Proof Technology
    • Post-quantum Cryptography and Quantum Proofs
  • Machine Learning and Artificial Intelligence:
    • Classical Machine Learning
    • Quantum Machine Learning
  • Smart Network Field Theories:
    • Model Field Theories: Neural Statistics and Spin Glass
    • Smart Network Field Theory Specification and Examples
  • The AdS/CFT Correspondence and Holographic Codes:
    • The AdS/CFT Correspondence
    • Holographic Quantum Error-Correcting Codes
  • Quantum Smart Networks:
    • AdS/Smart Network Correspondence and Conclusion
  • Glossary
  • Index

Readership: Thought-leaders, executives, industry strategists, research scientists, graduate students, advanced undergraduate students, policy-makers, government regulators, corporate practitioners, and entrepreneurs in the areas of computer science, blockchain, machine learning, quantum information science, and theoretical physics.
Free Access
FRONT MATTER
  • Pages:i–xxi

https://doi.org/10.1142/9781786348210_fmatter

Free Access
Chapter 1: Introduction
  • Pages:1–11

https://doi.org/10.1142/9781786348210_0001

Part 1 Smart Networks and Quantum Computing


No Access
Chapter 2: Smart Networks: Classical and Quantum Field Theory
  • Pages:15–41

https://doi.org/10.1142/9781786348210_0002

No Access
Chapter 3: Quantum Computing: Basic Concepts
  • Pages:43–65

https://doi.org/10.1142/9781786348210_0003

No Access
Chapter 4: Advanced Quantum Computing: Interference and Entanglement
  • Pages:67–87

https://doi.org/10.1142/9781786348210_0004

Part 2 Blockchain and Zero-Knowledge Proofs


No Access
Chapter 5: Classical Blockchain
  • Pages:91–111

https://doi.org/10.1142/9781786348210_0005

No Access
Chapter 6: Quantum Blockchain
  • Pages:113–134

https://doi.org/10.1142/9781786348210_0006

No Access
Chapter 7: Zero-Knowledge Proof Technology
  • Pages:135–156

https://doi.org/10.1142/9781786348210_0007

No Access
Chapter 8: Post-quantum Cryptography and Quantum Proofs
  • Pages:157–180

https://doi.org/10.1142/9781786348210_0008

Part 3 Machine Learning and Artificial Intelligence


No Access
Chapter 9: Classical Machine Learning
  • Pages:183–207

https://doi.org/10.1142/9781786348210_0009

No Access
Chapter 10: Quantum Machine Learning
  • Pages:209–234

https://doi.org/10.1142/9781786348210_0010

Part 4 Smart Network Field Theories


No Access
Chapter 11: Model Field Theories: Neural Statistics and Spin Glass
  • Pages:237–265

https://doi.org/10.1142/9781786348210_0011

No Access
Chapter 12: Smart Network Field Theory Specification and Examples
  • Pages:267–290

https://doi.org/10.1142/9781786348210_0012

Part 5 The AdS/CFT Correspondence and Holographic Codes


No Access
Chapter 13: The AdS/CFT Correspondence
  • Pages:293–318

https://doi.org/10.1142/9781786348210_0013

No Access
Chapter 14: Holographic Quantum Error-Correcting Codes
  • Pages:319–338

https://doi.org/10.1142/9781786348210_0014

Part 6 Quantum Smart Networks


No Access
Chapter 15: AdS/Smart Network Correspondence and Conclusion
  • Pages:341–368

https://doi.org/10.1142/9781786348210_0015

Free Access
BACK MATTER
  • Pages:369–377

https://doi.org/10.1142/9781786348210_bmatter

"It is an intellectual tour de force that bridges the borders between modern physics and computing and illustrates how obscure quantum-mechanical phenomena such as superposition and entanglement can ultimately result in computing applications that will severely impact our daily life in the not so distant future. I highly recommend this book for those who want to learn more about the wondrous world of quantum computing and its transformational power through smart networks, blockchain, advanced cryptography, machine learning and artificial intelligence."

Horst Treiblmaier
Full Professor, Department Head
Modul University Vienna
Department of International Management

Melanie Swan is a Research Associate at the UCL Centre for Blockchain Technologies, a Technology Theorist in the Philosophy Department at Purdue University, and a Singularity University faculty member. She is the founder of several startups including the Institute for Blockchain Studies, DIYgenomics, GroupPurchase, and the MS Futures Group. Melanie's educational background includes an MBA in Finance from the Wharton School of the University of Pennsylvania, an MA in Philosophy from the New School for Social Research in New York, and a BA in French and Economics from Georgetown University. She is the author of the best-selling book Blockchain: Blueprint for a New Economy. Other notable work is on the topics of Blockchain Economics, Human Brain/Cloud Interface, BCI Cloudminds, Multigenic Risk Assessment, the Brain as a DAC (Decentralized Autonomous Corporation), Neural Payment Channels, Biocryptoeconomics, and Blocktime (the native time domain of blockchains).


Renato P dos Santos is a researcher on blockchain technologies and Graduate Professor at the Lutheran University of Brazil. He is a member of the British Blockchain Association, holds a DSc (Physics) degree and did post-doc works in Artificial Intelligence, and specialisations in Data Science and blockchain technologies. He is also the author of more than 100 scientific papers about Philosophy of Cryptocurrencies, Data Science in STEM Education, Second Life in STEM Education, Web 2.0 technologies, Ethnoscience, Physics Teaching, Artificial Intelligence and Computer Algebra in Physics, and Quantum Field Theory in prestigious scientific periodicals and events around the world. He is a reviewer and editor of prestigious scientific periodicals and events around the world and developed systems for Second Life, Forex market, Qualitative Physics, and Computer Algebra.


Frank Witte completed an MSc in theoretical Astrophysics (1992) at Utrecht University in the Netherlands and received his PhD in theoretical physics (1995) from the University of Heidelberg. As an assistant and associate professor he taught theoretical physics at Utrecht University and University College Utrecht (1997–2010) and published on diverse topics such as phase-transitions in non-equilibrium field theories, bound-states of fermions under gravitational interactions and the foundations of quantum game theory. As his research interests shifted towards the application of physics-inspired methods and concepts in Economics he accepted a position in the Department of Economics of University College London where he is working today. He teaches Economics of Science, with a forthcoming textbook to be published by World Scientific, and Environmental Economics as well as Computational Methods for Economists. Frank has spent extended academic visits, including teaching and research, at St. John's College, Cambridge (UK), the Quantum Optics & Laser Science group at Imperial College London and as International Fellow of Grinnell College (US).

Sample Chapter(s)
Chapter 1: Introduction