362 research outputs found

    On Buffon Machines and Numbers

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    The well-know needle experiment of Buffon can be regarded as an analog (i.e., continuous) device that stochastically "computes" the number 2/pi ~ 0.63661, which is the experiment's probability of success. Generalizing the experiment and simplifying the computational framework, we consider probability distributions, which can be produced perfectly, from a discrete source of unbiased coin flips. We describe and analyse a few simple Buffon machines that generate geometric, Poisson, and logarithmic-series distributions. We provide human-accessible Buffon machines, which require a dozen coin flips or less, on average, and produce experiments whose probabilities of success are expressible in terms of numbers such as, exp(-1), log 2, sqrt(3), cos(1/4), aeta(5). Generally, we develop a collection of constructions based on simple probabilistic mechanisms that enable one to design Buffon experiments involving compositions of exponentials and logarithms, polylogarithms, direct and inverse trigonometric functions, algebraic and hypergeometric functions, as well as functions defined by integrals, such as the Gaussian error function.Comment: Largely revised version with references and figures added. 12 pages. In ACM-SIAM Symposium on Discrete Algorithms (SODA'2011

    Massive 3-loop Feynman diagrams reducible to SC* primitives of algebras of the sixth root of unity

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    In each of the 10 cases with propagators of unit or zero mass, the finite part of the scalar 3-loop tetrahedral vacuum diagram is reduced to 4-letter words in the 7-letter alphabet of the 1-forms Ω:=dz/z\Omega:=dz/z and ωp:=dz/(λpz)\omega_p:=dz/ (\lambda^{-p}-z), where λ\lambda is the sixth root of unity. Three diagrams yield only ζ(Ω3ω0)=1/90π4\zeta(\Omega^3\omega_0)=1/90\pi^4. In two cases π4\pi^4 combines with the Euler-Zagier sum ζ(Ω2ω3ω0)=m>n>0(1)m+n/m3n\zeta(\Omega^2\omega_3\omega_0)=\sum_{m> n>0}(-1)^{m+n}/m^3n; in three cases it combines with the square of Clausen's Cl2(π/3)=ζ(Ωω1)=n>0sin(πn/3)/n2Cl_2(\pi/3)=\Im \zeta(\Omega\omega_1)=\sum_{n>0}\sin(\pi n/3)/n^2. The case with 6 masses involves no further constant; with 5 masses a Deligne-Euler-Zagier sum appears: ζ(Ω2ω3ω1)=m>n>0(1)mcos(2πn/3)/m3n\Re \zeta(\Omega^2\omega_3\omega_1)= \sum_{m>n>0}(-1)^m\cos(2\pi n/3)/m^3n. The previously unidentified term in the 3-loop rho-parameter of the standard model is merely D3=6ζ(3)6Cl22(π/3)1/24π4D_3=6\zeta(3)-6 Cl_2^2(\pi/3)-{1/24}\pi^4. The remarkable simplicity of these results stems from two shuffle algebras: one for nested sums; the other for iterated integrals. Each diagram evaluates to 10 000 digits in seconds, because the primitive words are transformable to exponentially convergent single sums, as recently shown for ζ(3)\zeta(3) and ζ(5)\zeta(5), familiar in QCD. Those are SC(2)^*(2) constants, whose base of super-fast computation is 2. Mass involves the novel base-3 set SC(3)^*(3). All 10 diagrams reduce to SC(3)^*(3)\cupSC(2)^* (2) constants and their products. Only the 6-mass case entails both bases.Comment: 41 pages, LaTe

    Parallel integer relation detection: techniques and applications

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    On a symmetric space attached to polyzeta values

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    Quickly convergent series are given to compute polyzeta numbers. The formula involves an intricate combination of (generalized) polylogarithms at 1/2. However, the combinatorics has a very simple geometric interpretation: it corresponds with the square map on some symmetric space P.Comment: 18 page

    Fault-Tolerant Quantum Computation with Local Gates

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    I discuss how to perform fault-tolerant quantum computation with concatenated codes using local gates in small numbers of dimensions. I show that a threshold result still exists in three, two, or one dimensions when next-to-nearest-neighbor gates are available, and present explicit constructions. In two or three dimensions, I also show how nearest-neighbor gates can give a threshold result. In all cases, I simply demonstrate that a threshold exists, and do not attempt to optimize the error correction circuit or determine the exact value of the threshold. The additional overhead due to the fault-tolerance in both space and time is polylogarithmic in the error rate per logical gate.Comment: 14 pages, LaTe
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