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The Learnability of Quantum States
The Learnability of Quantum States

Quantum Random Walks
Quantum Random Walks

Quantum entropy and its use
Quantum entropy and its use

Another version - Scott Aaronson
Another version - Scott Aaronson

... Where we are now: A quantum computer has factored 21 into 37, with high probability (Martín-López et al. 2012) Why is scaling up so hard? Because of decoherence: unwanted interaction between a QC and its external environment, “prematurely measuring” the quantum state A few skeptics, in CS and physi ...
3D– Modern Physics
3D– Modern Physics

... The quantum description is in terms of what might happen next – always characterising the system in terms of how it might change. Quantum mechanics does not so much describe being as becoming. Points 2 and 3 together encourage us to look on nature in a relational and holistic way. Parts that cannot ...
here - Dalibor Hrg
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Invisible tool enables new quantum experiments with atoms
Invisible tool enables new quantum experiments with atoms

What is the quantum state?
What is the quantum state?

Quantum Technologies - Connect Innovate UK
Quantum Technologies - Connect Innovate UK

Quantum plasmonics
Quantum plasmonics

... enable the confinement of light to scales far below that of conventional optics; suffer from large losses Quantum plasmonics build devices that can exploit lossy nature for controlling dissipative quantum dynamics combine modern plasmonics with quantum optics, study the fundamental physics of surfac ...
Computational Complexity and Fundamental Physics
Computational Complexity and Fundamental Physics

... Where we are now: A quantum computer has factored 21 into 37, with high probability (Martín-López et al. 2012) Why is scaling up so hard? Because of decoherence: unwanted interaction between a QC and its external environment, “prematurely measuring” the quantum state A few skeptics, in CS and physi ...
Quantum Algorithms
Quantum Algorithms

Navit Yahdav - Auburn Engineering
Navit Yahdav - Auburn Engineering

The Learnability of Quantum States
The Learnability of Quantum States

Quantum states
Quantum states

Quantum `jump`
Quantum `jump`

... • This superposition state (of mind) gives equal probabilities to choosing margarita or beer. • The actual outcome is not determined until the experiment is performed (in a bar). • The question arises whether our brain makes such quantum decisions. Is that “free will ” ? ...
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PDF

Quantum Computers
Quantum Computers

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Future Computers

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Document

The Learnability of Quantum States
The Learnability of Quantum States

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Lecture 1

Tutorial on the use of Artificial Intelligence and Machine Learning in
Tutorial on the use of Artificial Intelligence and Machine Learning in

Introduction to Nanoelectronics Marc Baldo MIT OpenCourseWare Publication May 2011
Introduction to Nanoelectronics Marc Baldo MIT OpenCourseWare Publication May 2011

Quantum Algorithms for Neural Networks Daniel Shumow
Quantum Algorithms for Neural Networks Daniel Shumow

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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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