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Error Free Quantum Reading by Quasi Bell State of Entangled
Error Free Quantum Reading by Quasi Bell State of Entangled

... The main purpose of the quantum information science is to overcome performances of the classical information technology. Hence, when one considers subjects for quantum information science, the problems that classical information technology cannot cope with has to be chosen. For instance, the quantum ...
neuro-ontological interpretation of spiritual experiences
neuro-ontological interpretation of spiritual experiences

Lecture 22/23 1  Quantum  Mechanics
Lecture 22/23 1 Quantum Mechanics

Third Quarter 2011 (Volume 6, Number 2)
Third Quarter 2011 (Volume 6, Number 2)

C.3 Quantum circuits - UTK-EECS
C.3 Quantum circuits - UTK-EECS

Quantum Information and the Representation Theory of the
Quantum Information and the Representation Theory of the

Introduction to Quantum Computation
Introduction to Quantum Computation

The physical nature of information
The physical nature of information

The D-Wave Quantum Computer - D
The D-Wave Quantum Computer - D

Accounting for Nonlinearities in Mathematical Modelling of Quantum
Accounting for Nonlinearities in Mathematical Modelling of Quantum

The Limits of Quantum Computers
The Limits of Quantum Computers

Local Quantum Measurement and No
Local Quantum Measurement and No

Direct Characterization of Quantum Dynamics
Direct Characterization of Quantum Dynamics

... an unknown interaction with its embedding environment. Knowledge of this dynamics is indispensable, e.g., for verifying the performance of an information-processing device, and for the design of decoherence-mitigation methods. Such characterization of quantum dynamics is possible via the method of s ...
Universal Quantum Computation with the Exchange Interaction
Universal Quantum Computation with the Exchange Interaction

Tina Bilban Epistemic and ontic interpretation of quantum
Tina Bilban Epistemic and ontic interpretation of quantum

Paper
Paper

жгед symbol of the згедй из "! user is denoted by # $иж! , 5 $87!9 A
жгед symbol of the згедй из "! user is denoted by # $иж! , 5 $87!9 A

... Stochastic Hoppfield neural network [1], [2], [3], [4], and the references therein. One can find a comparison of the performance of the above mentioned algorithms in [5]. Nonlinear sub-optimal solutions provide quite good performance, however, only asymptotically. Quantum computation based algorithm ...
Quantum Chaos and Quantum Information
Quantum Chaos and Quantum Information

An Introduction to Quantum Computation
An Introduction to Quantum Computation

in PPT
in PPT

Numerical Renormalization Group methods with Matrix Product States
Numerical Renormalization Group methods with Matrix Product States

Topological Quantum Computation from non-abelian anyons
Topological Quantum Computation from non-abelian anyons

Future Directions in Quantum Information
Future Directions in Quantum Information

Towards quantum template matching
Towards quantum template matching

Quantum information for semiclassical optics
Quantum information for semiclassical optics

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Quantum cognition

Quantum cognition is an emerging field which applies the mathematical formalism of quantum theory to model cognitive phenomena such as information processing by the human brain, decision making, human memory, concepts and conceptual reasoning, human judgment, and perception. The field clearly distinguishes itself from the quantum mind as it is not reliant on the hypothesis that there is something micro-physical quantum mechanical about the brain. Quantum cognition is based on the quantum-like paradigm or generalized quantum paradigm or quantum structure paradigm that information processing by complex systems such as the brain, taking into account contextual dependence of information and probabilistic reasoning, can be mathematically described in the framework of quantum information and quantum probability theory.Quantum cognition uses the mathematical formalism of quantum theory to inspire and formalize models of cognition that aim to be an advance over models based on traditional classical probability theory. The field focuses on modeling phenomena in cognitive science that have resisted traditional techniques or where traditional models seem to have reached a barrier (e.g., human memory ), and modeling preferences in decision theory that seem paradoxical from a traditional rational point of view (e.g., preference reversals ). Since the use of a quantum-theoretic framework is for modeling purposes, the identification of quantum structures in cognitive phenomena does not presuppose the existence of microscopic quantum processes in the human brain.
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