Bell's Inequality
Bohmian Mechanics
Born's Rule
Category=GPF
Category=PHQ
Classical Electromagnetic
classical field theory in quantum mechanics
Classical Random
classical statistical mechanics
Classical Statistical Model
complex
Complex Hilbert Space
composite quantum systems
Conventional quantum theory: fundamentals
covariance
Covariance Operator
density
Density Operator
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Fundamentals of Prequantum Classical Statistical Field Theory
gaussian
Gaussian Measure
Gaussian Random
Hamilton Functions
Hamiltonian dynamics
hilbert
Hilbert Space
Mathematical Presentation for Composite Systems
measure
observable
operator
Phase Space
Phenomenological Detection Model 271
probabilistic models
Pure Quantum State
Quantum Averages
quantum foundations
quantum measurement theory
Quantum Observables
Quantum Statistical Model
Quantum Systems
Random Signals
Self-adjoint Operators
Selfadjoint Operator
space
state
Supplementary Mathematical Considerations
Symplectic Operator
Wave Function
Product details
- ISBN 9789814411738
- Weight: 657g
- Dimensions: 152 x 229mm
- Publication Date: 10 Apr 2014
- Publisher: Pan Stanford Publishing Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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The present wave of interest in quantum foundations is caused by the tremendous development of quantum information science and its applications to quantum computing and quantum communication. It has become clear that some of the difficulties encountered in realizations of quantum information processing have roots at the very fundamental level. To solve such problems, quantum theory has to be reconsidered. This book is devoted to the analysis of the probabilistic structure of quantum theory, probing the limits of classical probabilistic representation of quantum phenomena.
Andrei Khrennikov is a professor of applied mathematics at Linnaueus University (Växjö, South-East Sweden) and the director of the multidisciplinary research center at this university, the International Center for Mathematical Modeling in Physics, Engineering, Economics, and Cognitive Science.
