1,096 research outputs found

    Decoder for Nonbinary CWS Quantum Codes

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    We present a decoder for nonbinary CWS quantum codes using the structure of union codes. The decoder runs in two steps: first we use a union of stabilizer codes to detect a sequence of errors, and second we build a new code, called union code, that allows to correct the errors

    Semidefinite code bounds based on quadruple distances

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    Let A(n,d)A(n,d) be the maximum number of 0,10,1 words of length nn, any two having Hamming distance at least dd. We prove A(20,8)=256A(20,8)=256, which implies that the quadruply shortened Golay code is optimal. Moreover, we show A(18,6)ā‰¤673A(18,6)\leq 673, A(19,6)ā‰¤1237A(19,6)\leq 1237, A(20,6)ā‰¤2279A(20,6)\leq 2279, A(23,6)ā‰¤13674A(23,6)\leq 13674, A(19,8)ā‰¤135A(19,8)\leq 135, A(25,8)ā‰¤5421A(25,8)\leq 5421, A(26,8)ā‰¤9275A(26,8)\leq 9275, A(21,10)ā‰¤47A(21,10)\leq 47, A(22,10)ā‰¤84A(22,10)\leq 84, A(24,10)ā‰¤268A(24,10)\leq 268, A(25,10)ā‰¤466A(25,10)\leq 466, A(26,10)ā‰¤836A(26,10)\leq 836, A(27,10)ā‰¤1585A(27,10)\leq 1585, A(25,12)ā‰¤55A(25,12)\leq 55, and A(26,12)ā‰¤96A(26,12)\leq 96. The method is based on the positive semidefiniteness of matrices derived from quadruples of words. This can be put as constraint in a semidefinite program, whose optimum value is an upper bound for A(n,d)A(n,d). The order of the matrices involved is huge. However, the semidefinite program is highly symmetric, by which its feasible region can be restricted to the algebra of matrices invariant under this symmetry. By block diagonalizing this algebra, the order of the matrices will be reduced so as to make the program solvable with semidefinite programming software in the above range of values of nn and dd.Comment: 15 page

    On the Parameters of Convolutional Codes with Cyclic Structure

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    In this paper convolutional codes with cyclic structure will be investigated. These codes can be understood as left principal ideals in a suitable skew-polynomial ring. It has been shown in [3] that only certain combinations of the parameters (field size, length, dimension, and Forney indices) can occur for cyclic codes. We will investigate whether all these combinations can indeed be realized by a suitable cyclic code and, if so, how to construct such a code. A complete characterization and construction will be given for minimal cyclic codes. It is derived from a detailed investigation of the units in the skew-polynomial ring

    Difference Sets and Positive Exponential Sums I. General Properties

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    We describe general connections between intersective properties of sets in Abelian groups and positive exponential sums. In particular, given a set A the maximal size of a set whose difference set avoids A will be related to positive exponential sums using frequencies from A. Ā© 2013 Springer Science+Business Media New York

    Difference sets and positive exponential sums I. General properties

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    We describe general connections between intersective properties of sets in Abelian groups and positive exponential sums. In particular, given a set AA the maximal size of a set whose difference set avoids AA will be related to positive exponential sums using frequencies from AA.Comment: 21 pages, a few remarks added, and one theorem slightly extende

    Trellis Computations

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    For a certain class of functions, the distribution of the function values can be calculated in the trellis or a sub-trellis. The forward/backward recursion known from the BCJR algorithm is generalized to compute the moments of these distributions. In analogy to the symbol probabilities, by introducing a constraint at a certain depth in the trellis we obtain symbol moments. These moments are required for an efficient implementation of the discriminated belief propagation algorithm in [2], and can furthermore be utilized to compute conditional entropies in the trellis. The moment computation algorithm has the same asymptotic complexity as the BCJR algorithm. It is applicable to any commutative semi-ring, thus actually providing a generalization of the Viterbi algorithm.Comment: 9 pages, 4 figure

    The combinatorics of LCD codes: Linear Programming bound and orthogonal matrices

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    Linear Complementary Dual codes (LCD) are binary linear codes that meet their dual trivially. We construct LCD codes using orthogonal matrices, self-dual codes, combinatorial designs and Gray map from codes over the family of rings RkR_k. We give a linear programming bound on the largest size of an LCD code of given length and minimum distance. We make a table of lower bounds for this combinatorial function for modest values of the parameters.Comment: submitted to Linear Algebra and Applications on June, 1, 201

    On doubly-cyclic convolutional codes

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    Cyclicity of a convolutional code (CC) is relying on a nontrivial automorphism of the algebra F[x]/(x^n-1), where F is a finite field. If this automorphism itself has certain specific cyclicity properties one is lead to the class of doubly-cyclic CC's. Within this large class Reed-Solomon and BCH convolutional codes can be defined. After constructing doubly-cyclic CC's, basic properties are derived on the basis of which distance properties of Reed-Solomon convolutional codes are investigated.This shows that some of them are optimal or near optimal with respect to distance and performance

    Discrete phase-space structure of nn-qubit mutually unbiased bases

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    We work out the phase-space structure for a system of nn qubits. We replace the field of real numbers that label the axes of the continuous phase space by the finite field \Gal{2^n} and investigate the geometrical structures compatible with the notion of unbiasedness. These consist of bundles of discrete curves intersecting only at the origin and satisfying certain additional properties. We provide a simple classification of such curves and study in detail the four- and eight-dimensional cases, analyzing also the effect of local transformations. In this way, we provide a comprehensive phase-space approach to the construction of mutually unbiased bases for nn qubits.Comment: Title changed. Improved version. Accepted for publication in Annals of Physic

    Entropy operates in non-linear semifields

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    We set out to demonstrate that the R\'enyi entropies with parameter Ī±\alpha are better thought of as operating in a type of non-linear semiring called a positive semifield. We show how the R\'enyi's postulates lead to Pap's g-calculus where the functions carrying out the domain transformation are Renyi's information function and its inverse. In its turn, Pap's g-calculus under R\'enyi's information function transforms the set of positive reals into a family of semirings where "standard" product has been transformed into sum and "standard" sum into a power-deformed sum. Consequently, the transformed product has an inverse whence the structure is actually that of a positive semifield. Instances of this construction lead into idempotent analysis and tropical algebra as well as to less exotic structures. Furthermore, shifting the definition of the Ī±\alpha parameter shows in full the intimate relation of the R\'enyi entropies to the weighted generalized power means. We conjecture that this is one of the reasons why tropical algebra procedures, like the Viterbi algorithm of dynamic programming, morphological processing, or neural networks are so successful in computational intelligence applications. But also, why there seem to exist so many procedures to deal with "information" at large.Comment: Version 2.0. Excised the case for shifting the R\'enyi entropy (see sibling paper). 20 pages, 3 figures, 2 table
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