High-dimensional quantum XYZ product codes for biased noise
Zhipeng Liang, Zhengzhong Yi, Fusheng Yang, Jiahan Chen, Zicheng Wang, Xuan Wang

TL;DR
This paper explores high-dimensional quantum XYZ product codes, demonstrating their improved error correction under biased noise and introducing a novel 4D fracton model with potential advantages over existing codes.
Contribution
It introduces a 4D XYZ product code construction, compares it with 4D homological codes, and shows enhanced error correction and fracton properties.
Findings
4D XYZ product codes outperform 4D homological codes against biased noise
The 4D Chamon code exhibits fracton model characteristics
New 4D fracton model proposed with potential for improved quantum error correction.
Abstract
Three-dimensional (3D) quantum XYZ product can construct a class of non-CSS quantum codes by using three classical codes. However, there has been limited study on their error-correcting performance so far and whether this code construction can be generalized to higher dimension is an open question. In this paper, we first study the error-correcting performance of the 3D Chamon code, which is an instance of the 3D XYZ product of three repetition codes. Second, we show that the 3D XYZ product can be generalized to four dimension and propose four-dimensional (4D) XYZ product code construction, which constructs a class of non-CSS quantum codes by using either four classical codes or two CSS quantum codes. Compared with the 4D homological product, we show that the 4D XYZ product can construct non-CSS codes with higher code dimension or code distance. Third, we consider two instances of the…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture
