Description: Quantum Computing : Physics, Blockchains, and Deep Learning Smart Networks, Hardcover by Swan, Melanie; Dos Santos, Renato P.; Witte, Frank, ISBN 1786348209, ISBN-13 9781786348203, Like New Used, Free shipping in the US "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 arephysical 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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Book Title: Quantum Computing : Physics, Blockchains, and Deep Learning Smart
Number of Pages: 400 Pages
Publication Name: Quantum Computing : Physics, Blockchains, and Deep Learning Smart Networks
Language: English
Publisher: World Industries Scientific Publishing UK The Limited
Publication Year: 2020
Subject: Physics / Quantum Theory, Computer Science, General, Econometrics
Type: Textbook
Item Weight: 0 Oz
Author: Melanie Swan, Frank Witte, Renato P. Dos Santos
Subject Area: Mathematics, Computers, Science, Business & Economics
Series: Between Science and Economics Ser.
Format: Hardcover
