机读格式显示(MARC)
- 000 02285cam a2200397 i 4500
- 008 200228s2020 nju b 001 0 eng
- 040 __ |a DLC |b eng |e rda |c DLC |d PUL
- 050 00 |a QA76.9.B56 |b S93 2020
- 099 __ |a CAL 022020033110
- 100 1_ |a Swan, Melanie, |e author.
- 245 10 |a Quantum computing : |b physics, blockchains, and deep learning smart networks / |c Melanie Swan, Purdue University, Renato P. dos Santos, Lutheran University of Brazil, Frank Witte, University College London.
- 260 __ |a New Jersey : |b World scientific, |c [2020]
- 300 __ |a xxi, 377 pages ; |c 24 cm.
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 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 Blockchains (Databases)
- 650 _0 |a Quantum computing.
- 650 _0 |a Finance |x Technological innovations.
- 650 _0 |a Quantum field theory.
- 700 1_ |a Santos, Renato P Dos.