262 research outputs found

    Primes in short intervals

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    Contrary to what would be predicted on the basis of Cram\'er's model concerning the distribution of prime numbers, we develop evidence that the distribution of ψ(x+H)−ψ(x)\psi(x+H)- \psi(x), for 0≀x≀N0\le x\le N, is approximately normal with mean ∌H\sim H and variance ∌Hlog⁥N/H\sim H\log N/H, when NΎ≀H≀N1−ήN^\delta \le H \le N^{1-\delta}.Comment: 29 page

    Chains of large gaps between primes

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    Let pnp_n denote the nn-th prime, and for any k≄1k \geq 1 and sufficiently large XX, define the quantity Gk(X):=max⁥pn+k≀Xmin⁥(pn+1−pn,
,pn+k−pn+k−1), G_k(X) := \max_{p_{n+k} \leq X} \min( p_{n+1}-p_n, \dots, p_{n+k}-p_{n+k-1} ), which measures the occurrence of chains of kk consecutive large gaps of primes. Recently, with Green and Konyagin, the authors showed that G1(X)≫log⁥Xlog⁥log⁥Xlog⁥log⁥log⁥log⁥Xlog⁥log⁥log⁥X G_1(X) \gg \frac{\log X \log \log X\log\log\log\log X}{\log \log \log X} for sufficiently large XX. In this note, we combine the arguments in that paper with the Maier matrix method to show that Gk(X)≫1k2log⁥Xlog⁥log⁥Xlog⁥log⁥log⁥log⁥Xlog⁥log⁥log⁥X G_k(X) \gg \frac{1}{k^2} \frac{\log X \log \log X\log\log\log\log X}{\log \log \log X} for any fixed kk and sufficiently large XX. The implied constant is effective and independent of kk.Comment: 16 pages, no figure

    Single shot parameter estimation via continuous quantum measurement

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    We present filtering equations for single shot parameter estimation using continuous quantum measurement. By embedding parameter estimation in the standard quantum filtering formalism, we derive the optimal Bayesian filter for cases when the parameter takes on a finite range of values. Leveraging recent convergence results [van Handel, arXiv:0709.2216 (2008)], we give a condition which determines the asymptotic convergence of the estimator. For cases when the parameter is continuous valued, we develop quantum particle filters as a practical computational method for quantum parameter estimation.Comment: 9 pages, 5 image

    Iterative maximum-likelihood reconstruction in quantum homodyne tomography

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    I propose an iterative expectation maximization algorithm for reconstructing a quantum optical ensemble from a set of balanced homodyne measurements performed on an optical state. The algorithm applies directly to the acquired data, bypassing the intermediate step of calculating marginal distributions. The advantages of the new method are made manifest by comparing it with the traditional inverse Radon transformation technique

    On the ratio of consecutive gaps between primes

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    In the present work we prove a common generalization of Maynard-Tao's recent result about consecutive bounded gaps between primes and on the Erd\H{o}s-Rankin bound about large gaps between consecutive primes. The work answers in a strong form a 60 years old problem of Erd\"os, which asked whether the ratio of two consecutive primegaps can be infinitely often arbitrarily small, and arbitrarily large, respectively

    Parameters estimation in quantum optics

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    We address several estimation problems in quantum optics by means of the maximum-likelihood principle. We consider Gaussian state estimation and the determination of the coupling parameters of quadratic Hamiltonians. Moreover, we analyze different schemes of phase-shift estimation. Finally, the absolute estimation of the quantum efficiency of both linear and avalanche photodetectors is studied. In all the considered applications, the Gaussian bound on statistical errors is attained with a few thousand data.Comment: 11 pages. 6 figures. Accepted on Phys. Rev.

    Invariant information and quantum state estimation

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    The invariant information introduced by Brukner and Zeilinger, Phys. Rev. Lett. 83, 3354 (1999), is reconsidered from the point of view of quantum state estimation. We show that it is directly related to the mean error of the standard reconstruction from the measurement of a complete set of mutually complementary observables. We give its generalization in terms of the Fisher information. Provided that the optimum reconstruction is adopted, the corresponding quantity loses its invariant character.Comment: 4 pages, no figure

    Entanglement-assisted tomography of a quantum target

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    We study the efficiency of quantum tomographic reconstruction where the system under investigation (quantum target) is indirectly monitored by looking at the state of a quantum probe that has been scattered off the target. In particular we focus on the state tomography of a qubit through a one-dimensional scattering of a probe qubit, with a Heisenberg-type interaction. Via direct evaluation of the associated quantum Cram\'{e}r-Rao bounds, we compare the accuracy efficiency that one can get by adopting entanglement-assisted strategies with that achievable when entanglement resources are not available. Even though sub-shot noise accuracy levels are not attainable, we show that quantum correlations play a significant role in the estimation. A comparison with the accuracy levels obtainable by direct estimation (not through a probe) of the quantum target is also performed.Comment: 22 pages, 9 figure

    Data analysis of gravitational-wave signals from spinning neutron stars. III. Detection statistics and computational requirements

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    We develop the analytic and numerical tools for data analysis of the gravitational-wave signals from spinning neutron stars for ground-based laser interferometric detectors. We study in detail the statistical properties of the optimum functional that need to be calculated in order to detect the gravitational-wave signal from a spinning neutron star and estimate its parameters. We derive formulae for false alarm and detection probabilities both for the optimal and the suboptimal filters. We assess the computational requirements needed to do the signal search. We compare a number of criteria to build sufficiently accurate templates for our data analysis scheme. We verify the validity of our concepts and formulae by means of the Monte Carlo simulations. We present algorithms by which one can estimate the parameters of the continuous signals accurately.Comment: LaTeX, 45 pages, 13 figures, submitted to Phys. Rev.

    Ballistic transport in random magnetic fields with anisotropic long-ranged correlations

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    We present exact theoretical results about energetic and dynamic properties of a spinless charged quantum particle on the Euclidean plane subjected to a perpendicular random magnetic field of Gaussian type with non-zero mean. Our results refer to the simplifying but remarkably illuminating limiting case of an infinite correlation length along one direction and a finite but strictly positive correlation length along the perpendicular direction in the plane. They are therefore ``random analogs'' of results first obtained by A. Iwatsuka in 1985 and by J. E. M\"uller in 1992, which are greatly esteemed, in particular for providing a basic understanding of transport properties in certain quasi-two-dimensional semiconductor heterostructures subjected to non-random inhomogeneous magnetic fields
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