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Quantum computing :physics, blockcha...

Swan, Melanie,

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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Quantum computing :Melanie Swan, Purdue University, USA, Renato P. dos Santos, Lutheran University of Brazil, Brazil, Frank Witte, University College London, UK.
Reminder of title:	physics, blockchains, and deep learning smart networks /
Author:	Swan, Melanie,
Description:	xxi, 377 pages : illustrations (some color) ; 24 cm.
Subject:	FinanceTechnological innovations.
ISBN:	9781786348203

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

Quantum computing :physics, blockchains, and deep learning smart networks /Melanie Swan, Purdue University, USA, Renato P. dos Santos, Lutheran University of Brazil, Brazil, Frank Witte, University College London, UK. - xxi, 377 pages : illustrations (some color) ; 24 cm. - Between science and economics,vol 22051-6304 ;.

Includes bibliographical references and 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"--

ISBN: 9781786348203$138

LCCN: 2019053514Subjects--Topical Terms:

775508
Finance
--Technological innovations.

LC Class. No.: QA76.889 / .S93 2020

Dewey Class. No.: 005.8/24

Quantum computing :physics, blockchains, and deep learning smart networks /
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020 $z 9781786348210 $q (ebook)
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245 1 0 $a Quantum computing : $b physics, blockchains, and deep learning smart networks / $c Melanie Swan, Purdue University, USA, Renato P. dos Santos, Lutheran University of Brazil, Brazil, Frank Witte, University College London, UK.
263 $a 2003
264 1 $a New Jersey : $b World scientific, $c [2020]
300 $a xxi, 377 pages : $b illustrations (some color) ; $c 24 cm.
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490 0 $a Between science and economics, $x 2051-6304 ; $v vol 2
504 $a Includes bibliographical references and 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"-- $c Provided by publisher.
650 0 $a Finance $x Technological innovations. $3 775508
650 0 $a Quantum field theory. $3 203819
650 0 $a Quantum computing. $3 725269
650 0 $a Blockchains (Databases) $3 774478
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955 $b rl12 2020-02-28 $i rl12 2020-02-28 to Dewey $w xm09 2020-03-02 $r rl12 2020-06-29