國立虎尾科技大學 |

Quantum computing = physics, blockchains, and deep learning smart networks /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Quantum computing/ Melanie Swan, Renato P. dos Santosl, Frank Witte.
Reminder of title:	physics, blockchains, and deep learning smart networks /
Author:	Swan, Melanie.
other author:	Santos, Renato P Dos.
Published:	London :World Scientific Publishing Europe, : c2020.,
Description:	1 online resource (xxi, 377 p.)
Subject:	Blockchains (Databases) -
Online resource:	https://www.worldscientific.com/worldscibooks/10.1142/q0243#t=toc
ISBN:	9781786348210

Quantum computing = physics, blockchains, and deep learning smart networks /
Swan, Melanie.

Quantum computingphysics, blockchains, and deep learning smart networks /[electronic resource] :Melanie Swan, Renato P. dos Santosl, Frank Witte. - 1st ed. - London :World Scientific Publishing Europe,c2020. - 1 online resource (xxi, 377 p.) - Between science and economics,v. 22051-6304 ;. - Between science and economics ;v. 2..

Includes bibliographical references and index.

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.

"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.

Mode of access: World Wide Web.

ISBN: 9781786348210Subjects--Topical Terms:

1140752
Blockchains (Databases)

LC Class. No.: QA76.9.B56 / S93 2020

Dewey Class. No.: 005.8/24

Quantum computing = physics, blockchains, and deep learning smart networks /
LDR:03865cam a2200325 a 4500 001 1042296
003 WSP
006 m o d
007 cr cnu---unuuu
008 211216s2020 enk ob 001 0 eng d
010 $z 2019053514
020 $a 9781786348210 $q (ebook)
020 $a 1786348217 $q (ebook)
020 $a 9781786348227 $q (ebook)
020 $z 9781786348203 $q (hbk.)
035 $a 000q0243
040 $a WSPC $b eng $c WSPC
050 0 4 $a QA76.9.B56 $b S93 2020
082 0 4 $a 005.8/24 $2 23
100 1 $a Swan, Melanie. $3 1342569
245 1 0 $a Quantum computing $h [electronic resource] : $b physics, blockchains, and deep learning smart networks / $c Melanie Swan, Renato P. dos Santosl, Frank Witte.
250 $a 1st ed.
260 $a London : $b World Scientific Publishing Europe, $c c2020.
300 $a 1 online resource (xxi, 377 p.)
490 1 $a Between science and economics, $x 2051-6304 ; $v v. 2
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 $a "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.
538 $a Mode of access: World Wide Web.
538 $a System requirements: Adobe Acrobat Reader.
588 $a Description based on print version record.
650 0 $a Blockchains (Databases) $3 1140752
650 0 $a Quantum computing. $3 1070322
650 0 $a Finance $x Technological innovations. $3 1135526
650 0 $a Quantum field theory. $3 579915
700 1 $a Santos, Renato P Dos. $3 1342570
700 1 $a Witte, Frank. $3 891779
830 0 $a Between science and economics ; $v v. 2. $3 1342571
856 4 0 $u https://www.worldscientific.com/worldscibooks/10.1142/q0243#t=toc