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Derivation of viscous correction terms for the isothermal quantum
Derivation of viscous correction terms for the isothermal quantum

... In the case of the isothermal quantum Euler equation, i.e. when we make ε = 0 in (26), it has been shown in [6] that when the initial data is irrotational, then the solution remains irrotational for all time. Unfortunately, it is not clear whether this property remains true for the quantum Navier-St ...
25 – 27 MAY 2016, ATHENS, GREECE
25 – 27 MAY 2016, ATHENS, GREECE

... 3+1D. The model generalises the 3+1D Kitaev quantum double replacing the finite group with a finite 2-group. Such a model describes a lattice realisation of BF-CG theory which is proposed to describe topological gauge theories which are both partially Higgsed and partially confined. Furthermore we p ...
- New England Complex Systems Institute
- New England Complex Systems Institute

... Thus, quantum mechanics, within the framework of entangled states, predicts a possibly larger statistical correlation than was allowed by the so-called classical inequality. Bell’s theorem predicts  that classical systems will obey such inequalities, while quantum systems might violate them under ...
Linköping University Post Print New quantum limits in plasmonic devices
Linköping University Post Print New quantum limits in plasmonic devices

... future technique for microelectronics. Such SPPs have been studied using classical theory. However, current state-of-the-art experiments are rapidly approaching nanoscales, and quantum effects can then become important. Here we study the properties of quantum SPPs at the interface between an electron ...
Harmonic Oscillator Physics
Harmonic Oscillator Physics

What Has Quantum Mechanics to Do With Factoring?
What Has Quantum Mechanics to Do With Factoring?

slides - 7th MATHEMATICAL PHYSICS MEETING
slides - 7th MATHEMATICAL PHYSICS MEETING

... At this stage, the Universe was in a quantum state, which should be described by a wave function (complex valued and depends on some real parameters). But, QC is related to Planck scale phenomena - it is natural to reconsider its foundations. We maintain here the standard point of view that the wave ...
The Quantum Jump Approach and Quantum Trajectories, Springer
The Quantum Jump Approach and Quantum Trajectories, Springer

... a pure state, which simplifies numerical simulations. As shown in Ref. [6] the ensemble of all possible random paths (quantum trajectories) leads to a reduced density matrix for the ensemble of atoms which satisfies the usual optical Bloch equations. This is a nice consistency check [19] and can be ...
Topologically Ordered States and their Hamiltonians
Topologically Ordered States and their Hamiltonians

UCSF050509
UCSF050509

Coulomb blockade in the fractional quantum Hall effect regime *
Coulomb blockade in the fractional quantum Hall effect regime *

Quantum Mechanics Basics
Quantum Mechanics Basics

... Consider a particle in 1D “box” (−L ≤ x ≤ L) A state of the particle is described by a continuous complex valued function ψ(x) called the “wavefunction”! Thus the set of all possible states of the particle from a vector (Hilbert) space RL ∗ The wavefunction satisfies −L ψ (x)ψ(x)dx = 1 ...
Symmetries and conservation laws in quantum me
Symmetries and conservation laws in quantum me

... Using the action formulation of local field theory, we have seen that given any continuous symmetry, we can derive a local conservation law. This gives us classical expressions for the density of the conserved quantity, the current density for this, and (by integrating the density over all space) th ...
Quantum Computing Applications
Quantum Computing Applications

... One of the most basic problems in computer science is unstructured search. Imagine we have access to a function f : {0, 1}n → {0, 1} which we treat as a black box. We want to find an x such that f (x) = 1. ...
Quantum Mechanics and Chaos Theory
Quantum Mechanics and Chaos Theory

... modes (as long as they are far enough down the stem), which move perpendicular to the “vertical” sides of the stem, or for a less trivial version, those paths that bounce around in the stem before moving into the cap but colliding with the top of the mushroom close enough to the center-line that the ...
Measurement-based formulation of quantum heat engines and
Measurement-based formulation of quantum heat engines and

Quantum discord and remote state preparation
Quantum discord and remote state preparation

A Brief Introduction into Quantum Gravity and Quantum Cosmology
A Brief Introduction into Quantum Gravity and Quantum Cosmology

... very small dimensions of the path and for very great curvatures. Perhaps this failure is in strict analogy with the failure of geometrical optics . . . that becomes evident as soon as the obstacles or apertures are no longer great compared with the real, finite, wavelength. . . . Then it becomes a q ...
quantum computing (ppt, udel.edu)
quantum computing (ppt, udel.edu)

QUANTUM INFORMATION, COMPUTATION AND FUNDAMENTAL
QUANTUM INFORMATION, COMPUTATION AND FUNDAMENTAL

Here
Here

... produce a ‘symplectic connection’ which associates to a path in the base a symplectomorphism between the fibers. Up to a hamiltonian isotopy, this symplectomorphism depends only on the homotopy class of the path. Since two objects of the Fukaya category are isomorphic if they are related by a Hamilt ...
Quantum-assisted biomolecular modelling
Quantum-assisted biomolecular modelling

Exploring the quantum world
Exploring the quantum world

1-Intro - Fordham University Computer and Information Sciences
1-Intro - Fordham University Computer and Information Sciences

Gravity and dark energy from quantum information
Gravity and dark energy from quantum information

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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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