arXiv:2610.37791
Topological Quantum Error-Correcting Thresholds of a Symmetry-Enriched Toric Code
Jiasheng He, Ryan Thorngren
Abstract
We study the error thresholds of a new topological quantum error-correcting code under the independent bit-flip and phase-flip noisy channel. By mapping to classical spin-glass models, we find that if Pauli X and Z errors are equally probable, the threshold of vertex syndromes is improved by 30% compared to that of the toric code, while the threshold of plaquette syndromes is lowered. Both thresholds increase when the Z component is less likely than the X component, reaching 0.5 if the Z component is absent. An analytical proof justifies this special case of perfect correctability, and a disordered version of Peierls's argument establishes a lower bound for the vertex-syndrome threshold.
AI Summary
This paper studies ideal-syndrome error thresholds of a crystalline symmetry-enriched toric code with qubits on links and vertices, under independent $X$- and $Z$-error components of probabilities $p$ and $q$. The code is finite-depth Clifford-equivalent to the toric code with ancillary qubits, but its vertex syndromes reveal corners as well as endpoints of error strings. The two syndrome-decoding problems map to different disordered classical models: an Ising model with random nearest-neighbor and four-spin plaquette interactions, and two perpendicular layers of Ising chains with interlayer coupling. Thresholds are identified with ordering transitions on a Nishimori surface using parallel-tempering Monte Carlo and transfer-matrix domain-wall free energies. At $p=q$, the reported vertex threshold is $p_N\approx0.14211448$, with a statistical 95% interval $(0.14210878,0.14211952)$, versus approximately $0.1094$ for the toric code. The plaquette threshold instead lies between $0.083$ and $0.09$, limiting the full code under symmetric noise. At fixed $q=0.04$, the corresponding thresholds are approximately $0.2159$ and $0.26$–$0.30$. A disordered Peierls argument gives the vertex-sector lower bound $p_N>0.0654$ at $p=q$. For $q=0$, both thresholds are reported to reach $0.5$; the vertex-sector argument uses an effective one-dimensional model, while the plaquette-sector argument uses mean field. Syndrome measurements are assumed perfect. Plaquette thresholds remain coarsely resolved, and transfer-matrix threshold estimates use widths only $6,8,10$. Measurement noise, depolarizing noise, possible spin-glass behavior, and reentrance are left for further study.
Central claim may not hold: The Peierls proof incorrectly treats contour-corner energies as additive when contours share a plaquette, invalidating the supplied derivation of the claimed 0.0654 vertex-threshold lower bound. The q=0 vertex proof incorrectly discards one transfer-matrix contribution: its two partition-function weights approach 1/2 each, rather than 1 and 0. The claimed analytical proof of q=0 perfect correctability is incomplete for plaquette syndromes, where the paper supplies only a mean-field argument.
Written by gpt-6.1-sol from the paper's full text. Automated: it can be wrong.