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Quantum Neural Computation [electronic resource] / by Vladimir G. Ivancevic, Tijana T. Ivancevic.

By: Ivancevic, Vladimir G [author.].
Contributor(s): Ivancevic, Tijana T [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Intelligent Systems, Control and Automation: Science and Engineering: 40Publisher: Dordrecht : Springer Netherlands, 2010Description: XV, 929p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789048133505.Subject(s): Computer science | Artificial intelligence | Neurobiology | Quantum theory | Engineering mathematics | Computer Science | Artificial Intelligence (incl. Robotics) | Appl.Mathematics/Computational Methods of Engineering | Quantum Physics | Quantum Information Technology, Spintronics | NeurobiologyDDC classification: 006.3 Online resources: Click here to access online
Contents:
Brain and Classical Neural Networks -- Quantum Theory Basics -- Spatio-Temporal Chaos, Solitons and NLS -- Quantum Brain and Cognition -- Quantum Information, Games and Computation -- Appendix: Mathematical and Computational Tools.
In: Springer eBooksSummary: Quantum Neural Computation is a graduate-level monographic textbook. It presents a comprehensive introduction, both non-technical and technical, into modern quantum neural computation. 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 the brain's even more mysterious nonlinear complexity, in order to perform super–high–speed and error–free computations. This volume describes a crossroad between quantum field theory, brain science and computational intelligence.
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Brain and Classical Neural Networks -- Quantum Theory Basics -- Spatio-Temporal Chaos, Solitons and NLS -- Quantum Brain and Cognition -- Quantum Information, Games and Computation -- Appendix: Mathematical and Computational Tools.

Quantum Neural Computation is a graduate-level monographic textbook. It presents a comprehensive introduction, both non-technical and technical, into modern quantum neural computation. 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 the brain's even more mysterious nonlinear complexity, in order to perform super–high–speed and error–free computations. This volume describes a crossroad between quantum field theory, brain science and computational intelligence.

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