6,767 research outputs found

    Some New Constructions of Quantum MDS Codes

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    It is an important task to construct quantum maximum-distance-separable (MDS) codes with good parameters. In the present paper, we provide six new classes of q-ary quantum MDS codes by using generalized Reed-Solomon (GRS) codes and Hermitian construction. The minimum distances of our quantum MDS codes can be larger than q/2+1 Three of these six classes of quantum MDS codes have longer lengths than the ones constructed in [1] and [2], hence some of their results can be easily derived from ours via the propagation rule. Moreover, some known quantum MDS codes of specific lengths can be seen as special cases of ours and the minimum distances of some known quantum MDS codes are also improved as well.Comment: Accepted for publication in IEEE Transactions on Information Theor

    Two new classes of quantum MDS codes

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    Let pp be a prime and let qq be a power of pp. In this paper, by using generalized Reed-Solomon (GRS for short) codes and extended GRS codes, we construct two new classes of quantum maximum-distance- separable (MDS) codes with parameters [[tq,tqβˆ’2d+2,d]]q [[tq, tq-2d+2, d]]_{q} for any 1≀t≀q,2≀dβ‰€βŒŠtq+qβˆ’1q+1βŒ‹+11 \leq t \leq q, 2 \leq d \leq \lfloor \frac{tq+q-1}{q+1}\rfloor+1, and [[t(q+1)+2,t(q+1)βˆ’2d+4,d]]q [[t(q+1)+2, t(q+1)-2d+4, d]]_{q} for any 1≀t≀qβˆ’1,2≀d≀t+21 \leq t \leq q-1, 2 \leq d \leq t+2 with (p,t,d)β‰ (2,qβˆ’1,q)(p,t,d) \neq (2, q-1, q). Our quantum codes have flexible parameters, and have minimum distances larger than q2+1\frac{q}{2}+1 when t>q2t > \frac{q}{2}. Furthermore, it turns out that our constructions generalize and improve some previous results.Comment: 14 pages. Accepted by Finite Fields and Their Application

    Optimal cyclic (r,Ξ΄)(r,\delta) locally repairable codes with unbounded length

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    Locally repairable codes with locality rr (rr-LRCs for short) were introduced by Gopalan et al. \cite{1} to recover a failed node of the code from at most other rr available nodes. And then (r,Ξ΄)(r,\delta) locally repairable codes ((r,Ξ΄)(r,\delta)-LRCs for short) were produced by Prakash et al. \cite{2} for tolerating multiple failed nodes. An rr-LRC can be viewed as an (r,2)(r,2)-LRC. An (r,Ξ΄)(r,\delta)-LRC is called optimal if it achieves the Singleton-type bound. It has been a great challenge to construct qq-ary optimal (r,Ξ΄)(r,\delta)-LRCs with length much larger than qq. Surprisingly, Luo et al. \cite{3} presented a construction of qq-ary optimal rr-LRCs of minimum distances 3 and 4 with unbounded lengths (i.e., lengths of these codes are independent of qq) via cyclic codes. In this paper, inspired by the work of \cite{3}, we firstly construct two classes of optimal cyclic (r,Ξ΄)(r,\delta)-LRCs with unbounded lengths and minimum distances Ξ΄+1\delta+1 or Ξ΄+2\delta+2, which generalize the results about the Ξ΄=2\delta=2 case given in \cite{3}. Secondly, with a slightly stronger condition, we present a construction of optimal cyclic (r,Ξ΄)(r,\delta)-LRCs with unbounded length and larger minimum distance 2Ξ΄2\delta. Furthermore, when Ξ΄=3\delta=3, we give another class of optimal cyclic (r,3)(r,3)-LRCs with unbounded length and minimum distance 66

    On Random Linear Network Coding for Butterfly Network

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    Random linear network coding is a feasible encoding tool for network coding, specially for the non-coherent network, and its performance is important in theory and application. In this letter, we study the performance of random linear network coding for the well-known butterfly network by analyzing the failure probabilities. We determine the failure probabilities of random linear network coding for the well-known butterfly network and the butterfly network with channel failure probability p.Comment: This paper was submitted to IEEE Communications Letter

    Linear Network Error Correction Multicast/Broadcast/Dispersion/Generic Codes

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    In the practical network communications, many internal nodes in the network are required to not only transmit messages but decode source messages. For different applications, four important classes of linear network codes in network coding theory, i.e., linear multicast, linear broadcast, linear dispersion, and generic network codes, have been studied extensively. More generally, when channels of communication networks are noisy, information transmission and error correction have to be under consideration simultaneously, and thus these four classes of linear network codes are generalized to linear network error correction (LNEC) coding, and we say them LNEC multicast, broadcast, dispersion, and generic codes, respectively. Furthermore, in order to characterize their efficiency of information transmission and error correction, we propose the (weakly, strongly) extended Singleton bounds for them, and define the corresponding optimal codes, i.e., LNEC multicast/broadcast/dispersion/generic MDS codes, which satisfy the corresponding Singleton bounds with equality. The existences of such MDS codes are discussed in detail by algebraic methods and the constructive algorithms are also proposed.Comment: Single column, 38 pages. Submitted for possible publicatio

    Johnson Type Bounds on Constant Dimension Codes

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    Very recently, an operator channel was defined by Koetter and Kschischang when they studied random network coding. They also introduced constant dimension codes and demonstrated that these codes can be employed to correct errors and/or erasures over the operator channel. Constant dimension codes are equivalent to the so-called linear authentication codes introduced by Wang, Xing and Safavi-Naini when constructing distributed authentication systems in 2003. In this paper, we study constant dimension codes. It is shown that Steiner structures are optimal constant dimension codes achieving the Wang-Xing-Safavi-Naini bound. Furthermore, we show that constant dimension codes achieve the Wang-Xing-Safavi-Naini bound if and only if they are certain Steiner structures. Then, we derive two Johnson type upper bounds, say I and II, on constant dimension codes. The Johnson type bound II slightly improves on the Wang-Xing-Safavi-Naini bound. Finally, we point out that a family of known Steiner structures is actually a family of optimal constant dimension codes achieving both the Johnson type bounds I and II.Comment: 12 pages, submitted to Designs, Codes and Cryptograph

    Optical analogy to quantum Fourier transform based on pseudorandom phase ensemble

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    In this paper, we introduce an optical analogy to quantum Fourier tanformation based on a pseudorandom phase ensemble. The optical analogy also brings about exponential speedup over classical Fourier tanformation. Using the analogy, we demonstrate three classcial fields to realize Fourier transform similar to three quantum particles.Comment: A small amount of errors modification,16 Pages, 1 figur

    Minimum Pseudo-Weight and Minimum Pseudo-Codewords of LDPC Codes

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    In this correspondence, we study the minimum pseudo-weight and minimum pseudo-codewords of low-density parity-check (LDPC) codes under linear programming (LP) decoding. First, we show that the lower bound of Kelly, Sridhara, Xu and Rosenthal on the pseudo-weight of a pseudo-codeword of an LDPC code with girth greater than 4 is tight if and only if this pseudo-codeword is a real multiple of a codeword. Then, we show that the lower bound of Kashyap and Vardy on the stopping distance of an LDPC code is also a lower bound on the pseudo-weight of a pseudo-codeword of this LDPC code with girth 4, and this lower bound is tight if and only if this pseudo-codeword is a real multiple of a codeword. Using these results we further show that for some LDPC codes, there are no other minimum pseudo-codewords except the real multiples of minimum codewords. This means that the LP decoding for these LDPC codes is asymptotically optimal in the sense that the ratio of the probabilities of decoding errors of LP decoding and maximum-likelihood decoding approaches to 1 as the signal-to-noise ratio leads to infinity. Finally, some LDPC codes are listed to illustrate these results.Comment: 17 pages, 1 figur

    The minimal polynomial of sequence obtained from componentwise linear transformation of linear recurring sequence

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    Let S=(s1,s2,...,sm,...)S=(s_1,s_2,...,s_m,...) be a linear recurring sequence with terms in GF(qn)GF(q^n) and TT be a linear transformation of GF(qn)GF(q^n) over GF(q)GF(q). Denote T(S)=(T(s1),T(s2),...,T(sm),...)T(S)=(T(s_1),T(s_2),...,T(s_m),...). In this paper, we first present counter examples to show the main result in [A.M. Youssef and G. Gong, On linear complexity of sequences over GF(2n)GF(2^n), Theoretical Computer Science, 352(2006), 288-292] is not correct in general since Lemma 3 in that paper is incorrect. Then, we determine the minimal polynomial of T(S)T(S) if the canonical factorization of the minimal polynomial of SS without multiple roots is known and thus present the solution to the problem which was mainly considered in the above paper but incorrectly solved. Additionally, as a special case, we determine the minimal polynomial of T(S)T(S) if the minimal polynomial of SS is primitive. Finally, we give an upper bound on the linear complexity of T(S)T(S) when TT exhausts all possible linear transformations of GF(qn)GF(q^n) over GF(q)GF(q). This bound is tight in some cases.Comment: This paper was submitted to the journal Theoretical Computer Scienc

    The Minimal Polynomial over F_q of Linear Recurring Sequence over F_{q^m}

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    Recently, motivated by the study of vectorized stream cipher systems, the joint linear complexity and joint minimal polynomial of multisequences have been investigated. Let S be a linear recurring sequence over finite field F_{q^m} with minimal polynomial h(x) over F_{q^m}. Since F_{q^m} and F_{q}^m are isomorphic vector spaces over the finite field F_q, S is identified with an m-fold multisequence S^{(m)} over the finite field F_q. The joint minimal polynomial and joint linear complexity of the m-fold multisequence S^{(m)} are the minimal polynomial and linear complexity over F_q of S respectively. In this paper, we study the minimal polynomial and linear complexity over F_q of a linear recurring sequence S over F_{q^m} with minimal polynomial h(x) over F_{q^m}. If the canonical factorization of h(x) in F_{q^m}[x] is known, we determine the minimal polynomial and linear complexity over F_q of the linear recurring sequence S over F_{q^m}.Comment: Submitted to the journal Finite Fields and Their Application
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