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Computer Science - Artificial Intelligence | Quantum Neural Computation

Quantum Neural Computation

Ivancevic, Vladimir G., Ivancevic, Tijana T.

2010, XV, 929p.

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  • Details the state-of-the-art in quantum neural computation
  • Combines quantum computation with neural computation
  • Offers a blueprint for the future quantum brain

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.

Content Level » Research

Keywords » Chaos - Quantum mechanics - Soliton - Wavelet - artificial neural network - cognition - computational intelligence - consciousness - evolution - neural network - operator - perception - physiology - thermodynamics - wave equation

Related subjects » Applied & Technical Physics - Artificial Intelligence - Computational Intelligence and Complexity - Neuroscience - Quantum Physics

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