Quantum Chaos : Learning from network models - Rob Whitney
Periodic orbit theory is exact. Numerics show GOE level-statistics. B Bonds. N Nodes ... Lengths of all bonds are incommensurate. (2) ... [7] Basics of calculation.
Quantum Chaos : Learning from network models Quantum graphs, weak localisation and RMT archive : nlin.CD/0107056
Gregory Berkolaiko1 2 , Holger Schanz3 & Rob Whitney1 4 1 Weizmann Institute of Science, Israel 2 University of Strathclyde 3 Universitat ¨ Gottingen, ¨ Germany 4 University of Oxford
[1] Quantum Chaos and RMT Bohigas-Gianonni-Schmit (BGS) Conjecture ’84 : Quantum systems with chaotic classical dynamics have random matrices level-statistics. time-reversal symmetry
Why does random matrix theory work ? Why does random matrix theory fail ? Ehrenfest time, t. E. : a measure of classical-ness. Random matrix. Classical regime.
Shot noise : fano factor = (RMT result) exp[-tE/ D] ... âwell-explainedâ by random matrix theory (RMT) closed cavity : level-statistics ... Our Procedure : (i) define new basis, {v'i}, such that, v' i. = A' ... but proportion of non-classical mod
Examples. Molecules, annotated sentences, temporal traces of ... Explanation of molecular 3-D shape, new clauses in a ... Examples of Prolog representation.
Nov 2, 2005 - To quantify the errors in the qubit we use the concept of FIDELITY. ... Computingâ A. M. Steane, Reports on Progress in Physics, vol 61,.
weakâlocalization dip. Double-dot with barrier in ..... path in 2DEG. & ÏD â¼ time electron spends in double-dot .... function of lead-displacement. â(1âw)/(1+w).
form has a large number of parameters, and a large number of samples is needed to nar$ row the range of probable models. Because the model is complex and ...
a general model form with adjustable parameters and learn a posterior probability distribution for ... an algorithm for processing the subsets in stages. For each ...
Learning Complex Classification Models from Large Data Sets ... the large data set into several smaller data subsets and processing the subsets in stages.
3 Politecnico di Torino, DAUIN, Corso Duca degli Abruzzi 124, 10129, Torino, Italy ... eral different fields: computational biology and bioinformatics (gene regulatory .... Together they form a Bayesian network BN whose joint probability ..... to not
Why does random matrix theory work so well ? Why doesn't random matrix theory work ? Ehrenfest time, t. E. , a measure of classical-ness. Random matrix.
Classical particles: No noise in current ...and classical limit of quantum? Random matrix theory (RMT). â ânoise in classical limitâ. NEW REGIME in classical limit ...
Chief Economists' workshop: what can central bank policymakers learn from other ... for some loss function l. See also Varian (2014). @freakonometrics. 4 ...
rise to the discrete energy levels (eigenvalues) of a quantum system. ..... We show that Anderson localization in quasi-one dimensional conductors with ballistic ...
temporal rate of such process is roughly CX2/D2. L (assuming that ... A most interesting feature of the optical potential is that it is proportional to DÐ1. L , whereas.
power vanishes in this limit, while weak-localization remains universal. Keywords: ... The electrons then move ballistically in these quantum dots, in a ... On the left is a plot of a PS-state as a function of dimensionless position (dark line); for.
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In the latter regime, the diffusion process leads to a continuous spread of the .... exactly the effective Planck constant ¯heff in normalized classical units. 3. .... cold atomic gases, as experimental techniques like the velocity-selective Raman .
"Illuminatus!", ainsi que par l'ouvrage de Malaclypse Le Jeune,. "Principia Discordia", lequel exposait les principes de base de la. Religion Discordienne - une ...
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tering or feature extraction on the visual input is not sufficient. Moreover, it is difficult to see ...... Discovering the structure of a reactive environment by exploration.
generalization error we draw learning curves in simplified situations and compare the results. The performance for learning drift concepts of one of the presented.
environment is viewed as a communications channel over which a message .... weight vectors for the output units of the network, and the columns of Ware.