Overview
- State-of-the-art in quantum neural computation
- The first to combine quantum computation with neural computation
- A blueprint for the future quantum brain
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering (ISCA, volume 40)
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Table of contents (7 chapters)
Keywords
About this book
Quantum Neural Computation is a graduate–level monographic textbook. It presents a comprehensive introduction, both non-technical and technical, into modern quantum neural computation, the science behind the fiction movie Stealth. Classical computing systems perform classical computations (i.e., Boolean operations, such as AND, OR, NOT gates) using devices that can be described classically (e.g., MOSFETs). On the other hand, quantum computing systems perform classical computations using quantum devices (quantum dots), that is devices that can be described only using quantum mechanics. Any information transfer between such computing systems involves a state measurement. This book describes this information transfer at the edge of classical and quantum chaos and turbulence, where mysterious quantum-mechanical linearity meets even more mysterious brain’s nonlinear complexity, in order to perform a super–high–speed and error–free computations. This monograph describes a crossroad between quantum field theory, brain science and computational intelligence.
Authors and Affiliations
Bibliographic Information
Book Title: Quantum Neural Computation
Authors: Vladimir G. Ivancevic, Tijana T. Ivancevic
Series Title: Intelligent Systems, Control and Automation: Science and Engineering
DOI: https://doi.org/10.1007/978-90-481-3350-5
Publisher: Springer Dordrecht
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media B.V. 2010
Hardcover ISBN: 978-90-481-3349-9Published: 25 November 2009
Softcover ISBN: 978-94-017-7777-3Published: 23 August 2016
eBook ISBN: 978-90-481-3350-5Published: 18 January 2010
Series ISSN: 2213-8986
Series E-ISSN: 2213-8994
Edition Number: 1
Number of Pages: XV, 929
Topics: Artificial Intelligence, Mathematical and Computational Engineering, Quantum Physics, Quantum Information Technology, Spintronics, Neurobiology