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... this focus to the concepts of Nanotechnology, and in the possibilities of new materials with physical innovative properties and practical applications as, for example, the semiconductors. This focus is useful to approach the scientific knowledge in the matter to students that do not have a strong ed ...
ppt
ppt

... II. Squeezed states and optical interferometry III. Ramsey interferometry and cat states IV. Quantum information perspective V. Beyond the Heisenberg limit ...
Spin supercurrents and torquing with majorana fermions
Spin supercurrents and torquing with majorana fermions

Exponential complexity and ontological theories of quantum
Exponential complexity and ontological theories of quantum

... grows as the number of particles! Wi trajectory weights. In classical mechanics they are POSITIVE probabilities. Feynman path integral: the weights Wi are not positive real numbers  destructive interference among different paths. One needs to consider a very large number of realizations. Bad QMC me ...
Annalen der Physik
Annalen der Physik

Lüders Rule1 The Lüders rule describes a change - Philsci
Lüders Rule1 The Lüders rule describes a change - Philsci

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Laboratory 1

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review

... came to be known as the EPR paradox. Einstein and others considered such behavior to be impossible, as it violated the local realist view of causality (Einstein referred to it as "spooky action at a distance"),[4] and argued that the accepted formulation of quantum mechanics must therefore be incomp ...
Presentation - Turing Gateway to Mathematics
Presentation - Turing Gateway to Mathematics

Quantum Computing - Turing Gateway
Quantum Computing - Turing Gateway

... (resp. |b|2 ) and state is destroyed! – very limiting! State after measurement is “collapsed” to |0> or |1> according to what was seen, and this collapse is unavoidable! More formally, any physical process on an n qubit state can extract at most about n classical bits of information about the (expon ...
4.2_The_Quantum_Model_of_the_Atom1
4.2_The_Quantum_Model_of_the_Atom1

Chapter 7 - Quantum Numbers, Orbitals, and Electron
Chapter 7 - Quantum Numbers, Orbitals, and Electron

Quantum emergence and role of the zero-point field
Quantum emergence and role of the zero-point field

Quantum Questions Inspire New Math
Quantum Questions Inspire New Math

... number of lines — degree-one curves — is equal to 2,875. The number of degree-two curves was only computed around 1980 and turns out to be much larger: 609,250. But the number of curves of degree three required the help of string theorists. Around 1990, a group of string theorists asked geometers to ...
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The relaxation-time von Neumann-Poisson equation
The relaxation-time von Neumann-Poisson equation

Energy levels, photons and spectral lines
Energy levels, photons and spectral lines

... Isaac Newton – prism and sunlight → light is a wave Interference patterns like with water → light is a wave Joseph von Fraunhofer – the Sun’s spectrum has gaps → ? Observations of gas emission and absorption spectrum → ? ...
dreams of a finite theory - Indico
dreams of a finite theory - Indico

A Brief Survey of Quantum Computing
A Brief Survey of Quantum Computing

... Each set of input data gives a new measure of efficiency ! – Best cases – Worst cases – Representative / typical inputs (“benchmarks”)  application-specific and domain-specific ...
PPT - Henry Haselgrove`s Homepage
PPT - Henry Haselgrove`s Homepage

QUANTUM COMPUTING
QUANTUM COMPUTING

Does Time Exist in Quantum Gravity?
Does Time Exist in Quantum Gravity?

5 Bose-Einstein condensate (BEC)
5 Bose-Einstein condensate (BEC)

generation of arbitrary quantum states from atomic ensembles
generation of arbitrary quantum states from atomic ensembles

... where qθ(t) is proportional to the instantaneous homodyne detector output photocurrent, and θ is the phase of the local oscillator with respect to the quantum state. To determine ψ (t), which is not know a priori, we observe the autocorrelation < q (t1 ) q (t2 ) > of the HD photocurrent as a functio ...
to the wave function
to the wave function

... • The probability to find the particle in the volume element d = dr dt located at r at time t is given by (r, t)(r, t) d . – Born interpretation ...
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Quantum machine learning

Quantum machine learning is a newly emerging interdisciplinary research area between quantum physics and computer science that summarises efforts to combine quantum mechanics with methods of machine learning. Quantum machine learning models or algorithms intend to use the advantages of quantum information in order to improve classical methods of machine learning, for example by developing efficient implementations of expensive classical algorithms on a quantum computer. However, quantum machine learning also includes the vice versa approach, namely applying classical methods of machine learning to quantum information theory.Although yet in its infancy, quantum machine learning is met with high expectations of providing a solution for big data analysis using the ‘parallel’ power of quantum computation. This trend is underlined by recent investments of companies such as Google and Microsoft into quantum computing hardware and research. However, quantum machine learning is still in its infancy and requires more theoretical foundations as well as solid scientific results in order to mature to a full academic discipline.
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