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Microscopic Chaos and Nonequilibrium Statistical Mechanics: From
Microscopic Chaos and Nonequilibrium Statistical Mechanics: From

... which gives an estimate of the number of nodes of the wavefunction for a particle displaced across a diameter V 1/3 of the system. As expected, this number is large in a dilute gas at high temperature. Recent works have shown how the energy levels and the associated eigenfunctions behave in typical ...
For ULSI workshop. OUR SLIDES not ready. In PPT format.
For ULSI workshop. OUR SLIDES not ready. In PPT format.

... By iteratively applying the same input test vector (a probabilistic test) we are calculating the probability of getting the observed output. The input vectors are always vectors of pure states. Each successive iteration reduces the probability of obtaining a correct measurement for a faulty circuit. ...
Quantum Computing
Quantum Computing

... simulate. Two obvious such candidates are turbulence and quantum mechanics. I will have nothing further to say about turbulence, except that I think the computational complexity of turbulence is a question worthy of serious study. Richard Feynman, in 1982, was the rst to consider the case of quantu ...
Shor`s Algorithm for Factorizing Large Integers
Shor`s Algorithm for Factorizing Large Integers

Dynamical Phase Transitions in Quantum Systems
Dynamical Phase Transitions in Quantum Systems

ppt Ng
ppt Ng

Chapter 14 - StealthSkater
Chapter 14 - StealthSkater

Physical Composition
Physical Composition

Exciton Beats in GaAs Quantum Wells: Bosonic Representation and Collective... J. Fern´andez-Rossier and C. Tejedor
Exciton Beats in GaAs Quantum Wells: Bosonic Representation and Collective... J. Fern´andez-Rossier and C. Tejedor

... and l is the width of the well. Here, we note that the linear susceptibility, as easily obtained from (5), is identical to that of the analogous few-level model. These expressions apply strictly to non-interacting excitons. Coupling with the environment and interactions between excitons lead to deph ...
Periodic orbit analysis of molecular vibrational spectra: Spectral
Periodic orbit analysis of molecular vibrational spectra: Spectral

... Our po analysis of the Fermi resonant systems yields two main results. First of all, at the most qualitative level, the quantum ~E,t! plots immediately enable one to distinguish between the spectra computed using two different Hamiltonians, one ‘‘diagonal’’ and the other ‘‘resonant,’’ which were use ...
Quantum Mechanical Laws
Quantum Mechanical Laws

... did not abolish but rather extended the former classical laws, the generalization was achieved at the cost of adopting a completely new language of concepts and a new way of thinking at phenomenological and mathematical levels. The classical theories were deterministic. For the classical mechanics ( ...
Spin Flips and Quantum Information for Antiparallel Spins
Spin Flips and Quantum Information for Antiparallel Spins

... cloning, teleportation, data compression, quantum computation, etc. In all these cases quantum information can be processed with much better results if we keep it all the time in quantum form rather than extracting some classical information from it and processing this classical information. The dee ...
Quantum Mechanical Laws
Quantum Mechanical Laws

What is density operator?
What is density operator?

Entanglement verification with detection efficiency
Entanglement verification with detection efficiency

Highly doubly excited S states of the helium atom
Highly doubly excited S states of the helium atom

... the basis size. Note that at this stage the parameter p is not optimized but remains the same for all eigenvalues calculated at the same time. In a second step the complex matrix equation (8) is solved using an inverse iteration method on an LDL' decomposition of the matrix (8) with the results from ...
BLIND QUANTUM COMPUTATION 1. Introduction and Background
BLIND QUANTUM COMPUTATION 1. Introduction and Background

High-Fidelity Polarization Storage in a Gigahertz Bandwidth
High-Fidelity Polarization Storage in a Gigahertz Bandwidth

... with a diode laser. The optical pumping laser is orthogonally polarized to the signal and is in a counter-propagating geometry. The cell is shielded from stray magnetic fields with several layers of µ-metal. By fitting the storage time to our model of magnetic dephasing, we estimate the stray magnet ...
Time Symmetry and the Many-Worlds Interpretation - Philsci
Time Symmetry and the Many-Worlds Interpretation - Philsci

... time-symmetric quantum formalism is reviewed. Although the proposal does not look very attractive, its concept - a world defined by two quantum states, one evolving forwards and one evolving backwards in time - is found to be useful in modifying the many-worlds picture of Everett’s theory. ...
Entanglement and its Role in Shor`s Algorithm
Entanglement and its Role in Shor`s Algorithm

PowerPoint プレゼンテーション
PowerPoint プレゼンテーション

... in a doped T-shaped quantum wire ( studied by photoluminescence-excitation spectra ) ...
Slides
Slides

Lecture 7
Lecture 7

An alternative quantization procedure for the Hydrogen atom
An alternative quantization procedure for the Hydrogen atom

Newton`s cradle analogue with Bose
Newton`s cradle analogue with Bose

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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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