“…It is easy to check that the reverse mapping also works. Note that an original code that exceeds the generic quantum Gilbert-Varshamov (GV) bound [35] is mapped to a CSS code that exceeds the version of the GV bound specific for such codes [33]. Also, an original sparse code is mapped to a sparse code, with the same limit on the column weight, and row weight at most doubled.…”
Section: Theorem 1 For Any Quantum Stabilizer Code [[Nkd]] With Thmentioning
We introduce an ansatz for quantum codes which gives the hypergraph-product (generalized toric) codes by Tillich and Zémor and generalized bicycle codes by MacKay et al. as limiting cases. The construction allows for both the lower and the upper bounds on the minimum distance; they scale as a square root of the block length. Many thus defined codes have a finite rate and limited-weight stabilizer generators, an analog of classical low-density parity-check (LDPC) codes. Compared to the hypergraph-product codes, hyperbicycle codes generally have a wider range of parameters; in particular, they can have a higher rate while preserving the estimated error threshold.
“…It is easy to check that the reverse mapping also works. Note that an original code that exceeds the generic quantum Gilbert-Varshamov (GV) bound [35] is mapped to a CSS code that exceeds the version of the GV bound specific for such codes [33]. Also, an original sparse code is mapped to a sparse code, with the same limit on the column weight, and row weight at most doubled.…”
Section: Theorem 1 For Any Quantum Stabilizer Code [[Nkd]] With Thmentioning
We introduce an ansatz for quantum codes which gives the hypergraph-product (generalized toric) codes by Tillich and Zémor and generalized bicycle codes by MacKay et al. as limiting cases. The construction allows for both the lower and the upper bounds on the minimum distance; they scale as a square root of the block length. Many thus defined codes have a finite rate and limited-weight stabilizer generators, an analog of classical low-density parity-check (LDPC) codes. Compared to the hypergraph-product codes, hyperbicycle codes generally have a wider range of parameters; in particular, they can have a higher rate while preserving the estimated error threshold.
“…16 and 17 on L-chains and Corollary 3.1, we can also construct some new quantum codes of minimum distance 5. 17 There are the following L-chains: [14,8,5] ⊆ [14,13,2], [16,9,5] ⊆ [16,15,2], [18,12,5] ⊆ [18,17,2], [20,13,5] …”
Classical BCH codes that contain their (Euclidean or Hermitian) dual codes can be used to construct quantum stabilizer codes. But for given restricted length n, good quantum BCH codes are very sparse. In this paper, by puncturing and pasting check matrices of Hermitian dual containing BCH codes over the quaternary field, we construct many linear quantum codes with good parameters, and some of them have parameters exceeding the finite Gilbert-Varshamov bound for stabilizer quantum codes.
Recently, the field of quantum error-correcting codes has rapidly emerged as an important discipline. As quantum information is extremely sensitive to noise, it seems unlikely that any large scale quantum computation is feasible without quantum error-correction. In 1
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.