We introduce a framework based on classical quasi group codes to define a class of quantum CSS codes, called quantum group codes, supporting transversal multi-control-
Z gates which are both addressable and parallelizable, thus allowing to efficiently implement circuits composed of non-Clifford gates at the logical level. Building on this, we use a lifting procedure of classical AG codes established from class field theory to construct good quantum group codes with improved decoding complexity and logical multi-control-
Z gate parallelizability. More precisely, on input a good quantum AG code over the alphabet
Fq with transversal
CmZ gate, we apply this lifting procedure to its underlying classical AG code and obtain a quantum group code over the alphabet
Fq2 supporting a transversal
CmZ gate as well as addressable and parallelizable
Cm−1Z gates. In addition, this quantum code admits a quasi-quadratic time decoder with a linear decoding radius. This is to be compared with the previous quantum AG codes which have a cubic-time decoder. Hence, our work implies a decrease of the time complexity of state-of-the-art magic-state distillation protocols by an almost linear factor.
In order to suppress error floors of low density parity check (LDPC) codes, we study a parallel concatenation scheme with an intermediate single parity check (SPC) code and interleavers. The interleavers of the concatenation play an important role to lower error floors, because it is highly possible that interleaved bits in a trapping set are not to be in error even if the bits in the trapping set are originally in error. For quasi-cyclic LDPC codes, our simulation results confirm that the integrated parallel interleaved concatenation with circulant-size cyclic-shift interleavers improves error-floor performance, and it is better than serial concatenation schemes with BCH codes. If a decoder can afford to accommodate higher-hardware complexity, the decoding performance of our scheme improves so that the error floor can be lowered further.
Furthermore, we propose novel error correction coding schemes, called Generalized Integrated Interleaving and Sparsely Integrated Interleaving codes. In the context of block interleaved codewords, Generalized Integrated Interleaving allows nonuniform redundancy to be shared among all the interleaves. This allows the redundancy to be adjusted on-the-fly to better suit the error statistics of the channel or storage device. Sparsely Integrated Interleaving groups data nodes in a distributed storage system into subgroups. A data node can belong to several subgroups. A localized algebraic iterative decoding algorithm is used to decode across subgroups to correct large errors. Very little correction capability is sacrificed to achieve fast error correction and lower communication overhead. This scheme improves data access for all the data nodes and allows easy scaling of the distributed storage network.