Quantum Computing Physics Blockchains And Deep Learning Smart Networks is popular PDF and ePub book, written by Melanie Swan in 2020-03-20, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Quantum Computing Physics Blockchains And Deep Learning Smart Networks can be Read Online from any device for your convenience.
Quantum Computing Physics Blockchains And Deep Learning Smart Networks Book PDF Summary
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.
Detail Book of Quantum Computing Physics Blockchains And Deep Learning Smart Networks PDF
- Author : Melanie Swan
- Release : 20 March 2020
- Publisher : World Scientific
- ISBN : 9781786348227
- Genre : Science
- Total Page : 400 pages
- Language : English
- PDF File Size : 21,5 Mb
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