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slides
slides

... ‘Hit’ interpretation: Bell [p 205,] “that the space-time points (x,t) at which the hits are centered (which are determined by the wave function trajectory) should themselves serve as the ``local beables of the theory. These are the mathematical counterparts in the theory to real events at definite p ...
PPT - Fernando Brandao
PPT - Fernando Brandao

... Equivalence of Ensembles for non-critical systems Gibbs 1902: For the average square of the anomalies of the energy, we find an expression which vanishes in comparison to the square of the average energy, when the number of degrees of freedom is indefinitely increased. An ensemble of systems in whi ...
Course Outline Template Word Document - Physics for All
Course Outline Template Word Document - Physics for All

... This course is intended to be a first introduction to quantum phenomena in nature. Quatum Mechanics forms the basis of our description of nature at small scales and a clear understanding of it is required to understand phenomena ranging from atoms and chemical bonding to semiconductors and nuclear p ...
High Performance Quantum Computing
High Performance Quantum Computing

(Dynamical) quantum typicality: What is it and what are its
(Dynamical) quantum typicality: What is it and what are its

... Why it should occur: We see it in system we assume to be closed. Why it should not occur: There are issues with the underlying theory: Quantum Mechanics (Non-eq.) Thermodynamics autonomous dynamics of a few macrovariables attractive fixed point, equilibrium often describable by master equations, Fok ...
Why quantum gravity? - University of Oxford
Why quantum gravity? - University of Oxford

... immediately afterwards the universe was incredibly small – in fact much smaller than an atom. This leads to another sort of problem; things the size of atoms cannot be understood properly without using quantum mechanics so we also expect that the extrapolation back to the Big Bang using general rela ...
detailed technical description
detailed technical description

... quantum Hall effect, but certain classes of frustrated magnets, and presumably also the cuprates of high Tc super-conductivity, fall into this general class. A fascinating aspect of many of these systems, is that the elementary excitations can have unusual quantum numbers and obey so called fraction ...
Research program, TH Hansson
Research program, TH Hansson

ppt - Harvard Condensed Matter Theory group
ppt - Harvard Condensed Matter Theory group

... Different from the earlier theoretical work based on a single mode approximation, e.g. Gardiner and Zoller, Leggett ...
Localization and the Semiclassical Limit in Quantum Field Theories
Localization and the Semiclassical Limit in Quantum Field Theories

... dynamical evolution can be also recovered from the quantized bosonic fields in the limit ~ → 0. An important problem here is to identify appropriate localized states and position operators in the context of relativistic quantum mechanics. This question was analyzed and answered in a classical work b ...
Correlation Length versus Gap in Frustration-Free
Correlation Length versus Gap in Frustration-Free

Comparison of the Bohr and Quantum Mechanical
Comparison of the Bohr and Quantum Mechanical

Algorithms and Architectures for Quantum Computers
Algorithms and Architectures for Quantum Computers

... This research group seeks to understand and develop the experimental and theoretical potential for information processing and communications using the laws of quantum physics. Two fundamental questions motivate our work: (1) How can a large-scale, reliable quantum computer be realized? (2) What new ...
Unit 3 Electron Notes
Unit 3 Electron Notes

Orthogonal polynomials, special functions and mathematical physics
Orthogonal polynomials, special functions and mathematical physics

quantum numbers - Cloudfront.net
quantum numbers - Cloudfront.net

... Shape of Electron Cloud (l) Also known as sublevel or subshell Indicates the shape of the orbital within a shell Only integer values between 0 and n-1 are allowed Affects orbital energies (bigger l = higher energy) All electrons in an atom with the same value of l are said to belong to the same subs ...
Evaluation of atom-environment interaction based on decoherence
Evaluation of atom-environment interaction based on decoherence

Shedding Light on Black Holes
Shedding Light on Black Holes

Introduction to Quantum Computation
Introduction to Quantum Computation

Lecture 3: Quantum simulation algorithms
Lecture 3: Quantum simulation algorithms

Ordered Semiconductor Quantum Dot Structures - Russian -
Ordered Semiconductor Quantum Dot Structures - Russian -

... e-mail: [email protected] Semiconductor quantum dots (QDs) have attracted considerable interest because of their potential for application in experimental quantum information processing. In particular, the coupling of two QDs has been proposed as a means for generating entangled photons and ...
Fundamentals of quantum mechanics Quantum Theory of Light and Matter
Fundamentals of quantum mechanics Quantum Theory of Light and Matter

... σA2 = hψ|(Â − hAi)(Â − hA)|ψi = ha|ai σB2 ...
Almost all decoherence models lead to shot noise scaling in
Almost all decoherence models lead to shot noise scaling in

Chapter 4-2 The Quantum Model of the Atom
Chapter 4-2 The Quantum Model of the Atom

... orbitals of different shapes exist for a given value of n.  The angular momentum quantum number, symbolized by l, indicates the shape of the orbital.  The number of orbital shapes possible is equal to n.  The values of l allowed are zero and all positive integers less than or equal to n-1. ...
QIPC 2011
QIPC 2011

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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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