Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Quantum Computing: Phy, Blockchain & Deep Learn Smart Networ

Quantum Computing: Phy, Blockchain & Deep Learn Smart Networ

Swan Melanie

Hardcover

Series: Between Science and Economics, Book 2

EconomicsGeneral ComputersPhysics

ISBN10: 1786348209
ISBN13: 9781786348203
Publisher: Wspc (Europe)
Published: Apr 2 2020
Pages: 400
Weight: 1.55
Height: 0.88 Width: 6.00 Depth: 9.00
Language: English

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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