English

GNarsil: Splitting Stabilizers into Gauges

Quantum Physics 2025-03-26 v1 Emerging Technologies

Abstract

Quantum subsystem codes have been shown to improve error-correction performance, ease the implementation of logical operations on codes, and make stabilizer measurements easier by decomposing stabilizers into smaller-weight gauge operators. In this paper, we present two algorithms that produce new subsystem codes from a "seed" CSS code. They replace some stabilizers of a given CSS code with smaller-weight gauge operators that split the remaining stabilizers, while being compatible with the logical Pauli operators of the code. The algorithms recover the well-known Bacon-Shor code computationally as well as produce a new [[9,1,2,2]]\left[\left[ 9,1,2,2 \right]\right] rotated surface subsystem code with weight-33 gauges and weight-44 stabilizers. We illustrate using a [[100,25,3]]\left[\left[ 100,25,3 \right]\right] subsystem hypergraph product (SHP) code that the algorithms can produce more efficient gauge operators than the closed-form expressions of the SHP construction. However, we observe that the stabilizers of the lifted product quantum LDPC codes are more challenging to split into small-weight gauge operators. Hence, we introduce the subsystem lifted product (SLP) code construction and develop a new [[775,124,20]]\left[\left[ 775, 124, 20 \right]\right] code from Tanner's classical quasi-cyclic LDPC code. The code has high-weight stabilizers but all gauge operators that split stabilizers have weight 55, except one. In contrast, the LP stabilizer code from Tanner's code has parameters [[1054,124,20]]\left[\left[ 1054, 124, 20 \right]\right]. This serves as a novel example of new subsystem codes that outperform stabilizer versions of them. Finally, based on our experiments, we share some general insights about non-locality's effects on the performance of splitting stabilizers into small-weight gauges.

Keywords

Cite

@article{arxiv.2404.18302,
  title  = {GNarsil: Splitting Stabilizers into Gauges},
  author = {Oskar Novak and Narayanan Rengaswamy},
  journal= {arXiv preprint arXiv:2404.18302},
  year   = {2025}
}

Comments

8 Pages, 3 Figures

R2 v1 2026-06-28T16:09:06.750Z