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We currently lack the empirical data that would distinguish between competing models of quantum cosmology.
They also occur in models of quantum fields (see, e.g., Albeverio [14]).
In particular, no polynomial time quantum algorithms have been discovered for solving \ \textbf{NP}\ -complete problems which are implementable on the more widely accepted models of quantum computation.
With some luck, he says, it might be possible to find clues about what the previous universe was like from more detailed observations and models of quantum mechanics.
QPF is a direct generalization of a classical perceptron and solves some drawbacks found in previous models of quantum perceptrons.
In some quarters, the fact that the most traditional models of quantum logics lack a reasonable tensor product have have been seen as heralding the collapse of the entire quantum-logical enterprise.
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In any case, computer modeling of quantum mechanical, as distinct from Newtonian, behaviour becomes extremely complicated as soon as more than a few particles are involved.
Then, we discuss the theory and modeling of quantum transport in RRAM.
A multi-dimensional model of quantum evolution by adaptive selection has been established for cancer biology.
Next, the theory and modeling of quantum transport in the atomic CF of RRAM ascribing to the conductance quantization effect were discussed.
In this paper, we present an idealised model of quantum cascade detectors that calculates the highest performances reachable with actual technology.
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