Quantum computing: physics, blockchains, and deep learning smart networks
"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-m...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Singapore
World Scientific
[2020]
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Schriftenreihe: | Between science and economics
v. 2 |
Schlagworte: | |
Online-Zugang: | URL des Erstveröffentlichers |
Zusammenfassung: | "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"--Publisher's website |
Beschreibung: | 1 Online-Ressource (xxi 377 Seiten) |
ISBN: | 9781786348210 1786348217 |
Internformat
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Datensatz im Suchindex
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author | Swan, Melanie |
author_facet | Swan, Melanie |
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discipline | Informatik |
discipline_str_mv | Informatik |
format | Electronic eBook |
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illustrated | Not Illustrated |
index_date | 2024-07-03T16:30:24Z |
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institution | BVB |
isbn | 9781786348210 1786348217 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032530383 |
oclc_num | 1237594970 |
open_access_boolean | |
physical | 1 Online-Ressource (xxi 377 Seiten) |
psigel | ZDB-124-WOP |
publishDate | 2020 |
publishDateSearch | 2020 |
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publisher | World Scientific |
record_format | marc |
series2 | Between science and economics |
spelling | Swan, Melanie Verfasser aut Quantum computing physics, blockchains, and deep learning smart networks by Melanie Swan, Renato P. dos Santosl, Frank Witte Singapore World Scientific [2020] 1 Online-Ressource (xxi 377 Seiten) txt rdacontent c rdamedia cr rdacarrier Between science and economics v. 2 "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"--Publisher's website Blockchains (Databases) Quantum computing Finance / Technological innovations Quantum field theory Santos, Renato P Dos Sonstige oth Witte, Frank Sonstige oth https://www.worldscientific.com/worldscibooks/10.1142/q0243#t=toc Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Swan, Melanie Quantum computing physics, blockchains, and deep learning smart networks Blockchains (Databases) Quantum computing Finance / Technological innovations Quantum field theory |
title | Quantum computing physics, blockchains, and deep learning smart networks |
title_auth | Quantum computing physics, blockchains, and deep learning smart networks |
title_exact_search | Quantum computing physics, blockchains, and deep learning smart networks |
title_exact_search_txtP | Quantum computing physics, blockchains, and deep learning smart networks |
title_full | Quantum computing physics, blockchains, and deep learning smart networks by Melanie Swan, Renato P. dos Santosl, Frank Witte |
title_fullStr | Quantum computing physics, blockchains, and deep learning smart networks by Melanie Swan, Renato P. dos Santosl, Frank Witte |
title_full_unstemmed | Quantum computing physics, blockchains, and deep learning smart networks by Melanie Swan, Renato P. dos Santosl, Frank Witte |
title_short | Quantum computing |
title_sort | quantum computing physics blockchains and deep learning smart networks |
title_sub | physics, blockchains, and deep learning smart networks |
topic | Blockchains (Databases) Quantum computing Finance / Technological innovations Quantum field theory |
topic_facet | Blockchains (Databases) Quantum computing Finance / Technological innovations Quantum field theory |
url | https://www.worldscientific.com/worldscibooks/10.1142/q0243#t=toc |
work_keys_str_mv | AT swanmelanie quantumcomputingphysicsblockchainsanddeeplearningsmartnetworks AT santosrenatopdos quantumcomputingphysicsblockchainsanddeeplearningsmartnetworks AT wittefrank quantumcomputingphysicsblockchainsanddeeplearningsmartnetworks |