17 research outputs found

    Scale-Dependent Functions, Stochastic Quantization and Renormalization

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    We consider a possibility to unify the methods of regularization, such as the renormalization group method, stochastic quantization etc., by the extension of the standard field theory of the square-integrable functions ϕ(b)L2(Rd)\phi(b)\in L^2({\mathbb R}^d) to the theory of functions that depend on coordinate bb and resolution aa. In the simplest case such field theory turns out to be a theory of fields ϕa(b,)\phi_a(b,\cdot) defined on the affine group G:x=ax+bG:x'=ax+b, a>0,x,bRda>0,x,b\in {\mathbb R}^d, which consists of dilations and translation of Euclidean space. The fields ϕa(b,)\phi_a(b,\cdot) are constructed using the continuous wavelet transform. The parameters of the theory can explicitly depend on the resolution aa. The proper choice of the scale dependence g=g(a)g=g(a) makes such theory free of divergences by construction.Comment: Published in SIGMA (Symmetry, Integrability and Geometry: Methods and Applications) at http://www.emis.de/journals/SIGMA

    Towards a feasible implementation of quantum neural networks using quantum dots

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    We propose an implementation of quantum neural networks using an array of quantum dots with dipole-dipole interactions. We demonstrate that this implementation is both feasible and versatile by studying it within the framework of GaAs based quantum dot qubits coupled to a reservoir of acoustic phonons. Using numerically exact Feynman integral calculations, we have found that the quantum coherence in our neural networks survive for over a hundred ps even at liquid nitrogen temperatures (77 K), which is three orders of magnitude higher than current implementations which are based on SQUID-based systems operating at temperatures in the mK range.Comment: revtex, 5 pages, 2 eps figure

    Quantum hierarchic models for information processing

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    Both classical and quantum computations operate with the registers of bits. At nanometer scale the quantum fluctuations at the position of a given bit, say, a quantum dot, not only lead to the decoherence of quantum state of this bit, but also affect the quantum states of the neighboring bits, and therefore affect the state of the whole register. That is why the requirement of reliable separate access to each bit poses the limit on miniaturization, i.e, constrains the memory capacity and the speed of computation. In the present paper we suggest an algorithmic way to tackle the problem of constructing reliable and compact registers of quantum bits. We suggest to access the states of quantum register hierarchically, descending from the state of the whole register to the states of its parts. Our method is similar to quantum wavelet transform, and can be applied to information compression, quantum memory, quantum computations.Comment: 14 pages, LaTeX, 1 eps figur

    Wavelet-Based Quantum Field Theory

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    The Euclidean quantum field theory for the fields phiDeltax(x)phi_{Delta x}(x), which depend on both the position xx and the resolution DeltaxDelta x, constructed in SIGMA 2 (2006), 046, on the base of the continuous wavelet transform, is considered. The Feynman diagrams in such a theory become finite under the assumption there should be no scales in internal lines smaller than the minimal of scales of external lines. This regularisation agrees with the existing calculations of radiative corrections to the electron magnetic moment. The transition from the newly constructed theory to a standard Euclidean field theory is achieved by integration over the scale arguments
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