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-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…
Read More ↓Title Statements
- Full title :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).
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"
Read More ↓Edition Statements
- Publication Date:2020
Publication Statements
- Publisher(s):World Scientific
- Place of Publication:New Jersey
- Language:eng
- Publication Date:2020
Notes
Includes bibliographical references and index.
früherer Titel: Blockchain physics. quantum computing, distributed ledgers, machine learning, and other smart network technologies.
The Physical Object
- Description:xxi, 377 Seiten
Edition Identifiers
- ISBN:9781786348203, 1786348209
- oclc:on1184039087
- LC Classification:QA76.9.B56
- Dewey Decimal:005.8/24
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