杭州电子科技大学图书馆书目检索系统

Online Public Access Catalogue

题名/责任者:

Quantum computing : physics, blockchains, and deep learning smart networks / Melanie Swan, Purdue University, Renato P. dos Santos, Lutheran University of Brazil, Frank Witte, University College London.

出版发行项:

New Jersey : World scientific, [2020]

ISBN:

9781786348203

载体形态项:

xxi, 377 pages ; 24 cm.

丛编说明:

Between science and economics, 2051-6304 ; vol 2

个人责任者:

Swan, Melanie, author.

附加个人名称:

Santos, Renato P Dos.

附加个人名称:

Witte, Frank.

论题主题:

Blockchains (Databases)

论题主题:

Quantum computing.

论题主题:

Finance-Technological innovations.

论题主题:

Quantum field theory.

中图法分类号:

O413

书目附注:

Includes bibliographical references and index.

摘要附注:

"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"--

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