Hadamard matrix analysis and synthesis: with applications to communications and signal/image processing
Orthogonal Transforms for Digital Signal Processing
Orthogonal Transforms for Digital Signal Processing
Multi-Antenna Transceiver Techniques for 3g and Beyond
Multi-Antenna Transceiver Techniques for 3g and Beyond
Quantum Computation and Quantum Information: 10th Anniversary Edition
Quantum Computation and Quantum Information: 10th Anniversary Edition
Fast Cocyclic Jacket Transform
IEEE Transactions on Signal Processing
Quantum error correction via codes over GF(4)
IEEE Transactions on Information Theory
Enlargement of Calderbank-Shor-Steane quantum codes
IEEE Transactions on Information Theory
Improvement of Ashikhmin-Litsyn-Tsfasman bound for quantum codes
IEEE Transactions on Information Theory
Sparse-graph codes for quantum error correction
IEEE Transactions on Information Theory
Erratum to: "Fast quantum codes based on Pauli block Jacket matrices"
Quantum Information Processing
Quantum codes based on fast pauli block transforms in the finite field
Quantum Information Processing
Quantum Information Processing
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Jacket matrices motivated by the center weight Hadamard matrices have played an important role in signal processing, communications, image compression, cryptography, etc. In this paper, we suggest a design approach for the Pauli block jacket matrix achieved by substituting some Pauli matrices for all elements of common matrices. Since, the well-known Pauli matrices have been widely utilized for quantum information processing, the large-order Pauli block jacket matrix that contains commutative row operations are investigated in detail. After that some special Abelian groups are elegantly generated from any independent rows of the yielded Pauli block jacket matrix. Finally, we show how the Pauli block jacket matrix can simplify the coding theory of quantum error-correction. The quantum codes we provide do not require the dual-containing constraint necessary for the standard quantum error-correction codes, thus allowing us to construct quantum codes of the large codeword length. The proposed codes can be constructed structurally by using the stabilizer formalism of Abelian groups whose generators are selected from the row operations of the Pauli block jacket matrix, and hence have advantages of being fast constructed with the asymptotically good behaviors.