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Computation entanglement

Besides quantum computations, entanglement has also been at the core of other active research such as quantum teleportation [32, 33], dense coding [34, 35], quantum communication [36], and quantum cryptography [37]. It is believed that the conceptual puzzles posed by entanglement have now become a physical source of novel ideas that might result in applications. [Pg.495]

Solvents exert their influence on organic reactions through a complicated mixture of all possible types of noncovalent interactions. Chemists have tried to unravel this entanglement and, ideally, want to assess the relative importance of all interactions separately. In a typical approach, a property of a reaction (e.g. its rate or selectivity) is measured in a laige number of different solvents. All these solvents have unique characteristics, quantified by their physical properties (i.e. refractive index, dielectric constant) or empirical parameters (e.g. ET(30)-value, AN). Linear correlations between a reaction property and one or more of these solvent properties (Linear Free Energy Relationships - LFER) reveal which noncovalent interactions are of major importance. The major drawback of this approach lies in the fact that the solvent parameters are often not independent. Alternatively, theoretical models and computer simulations can provide valuable information. Both methods have been applied successfully in studies of the solvent effects on Diels-Alder reactions. [Pg.8]

Fig. 7 gives an example of such a comparison between a number of different polymer simulations and an experiment. The data contain a variety of Monte Carlo simulations employing different models, molecular dynamics simulations, as well as experimental results for polyethylene. Within the error bars this universal analysis of the diffusion constant is independent of the chemical species, be they simple computer models or real chemical materials. Thus, on this level, the simplified models are the most suitable models for investigating polymer materials. (For polymers with side branches or more complicated monomers, the situation is not that clear cut.) It also shows that the so-called entanglement length or entanglement molecular mass Mg is the universal scaling variable which allows one to compare different polymeric melts in order to interpret their viscoelastic behavior. [Pg.496]

A desire to understand quantum entanglement is fueled by the development of quantum computation, which started in the 1980s with the pioneering work of Benioff [26], Bennett [27], Deutsch [28], Feynman [29] and Landauer [30] but gathered momentum and research interest only after Peter Shor s revolutionary... [Pg.494]

In this chapter, we will focus on the entanglement behavior in QPT for the two-dimensional array of quantum dots, which provide a suitable arena for implementation of quantum computation [88, 89, 103]. For this purpose, the real-space renormalization group technique [91] will be utilized and developed for the finite-size analysis of entanglement. The model that we will be using is the Hubbard model [83],... [Pg.519]

Entanglement is the main resource of quantum information processing, without which quantum computation will not be faster than its classical counterpart [8] and quantum communication protocols will not work [113-115]. Moreover, as shown... [Pg.208]

Quantum computation exploits entanglement. The simplest kind of quantum computer is an n-qubit register, i.e., a system of n electrons. Each electron is a spin-1/2 particle so, by the analysis we did in Section 10.2, the state space is... [Pg.353]

In this section we have presented a mathematical foundation for entanglement of quantum systems. This foundation lies behind most modern discussions of quantum computing, as well as the Einstein-Podolsky-Rosen paradox. [Pg.354]

Fig.3 Computer simulation of a disordered densely packed amorphous polymer (BPAPC, M= 19800) the density of the simulated structure (1.2 x 103kg/m3) agrees with experimental data. Note that the shown cube of 3 nm edge length contains segments of about 30 different chains thus giving rise to a large number of topological interactions or entanglements (Courtesy U. Suter [7])... Fig.3 Computer simulation of a disordered densely packed amorphous polymer (BPAPC, M= 19800) the density of the simulated structure (1.2 x 103kg/m3) agrees with experimental data. Note that the shown cube of 3 nm edge length contains segments of about 30 different chains thus giving rise to a large number of topological interactions or entanglements (Courtesy U. Suter [7])...
Schrbdinger s verschrdnkung or entanglement is a quantum effect without classical analog and plays a key role in quantum computing [201,... [Pg.79]


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See also in sourсe #XX -- [ Pg.23 , Pg.35 ]




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Entanglements

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