Topological Order Dictates Surface Code Thresholds, XZZX Optimal Under Biased Noise — E8 Intelligence Research

FINDING: Surface code error thresholds are governed by the topological order of a 2D lattice, with the XZZX variant achieving optimal thresholds under biased noise via a mapping to a classical disordered magnet (random-bond Ising model). | MATH: Surface code threshold ≈ 10.3% (depolarizing) for standard toric code; XZZX code threshold → 50% under pure Z-biased noise (theoretical limit). The decoding problem maps exactly to the random-bond Ising model (RBIM) on a square lattice with Nishimori condition: \( \beta J = \frac{1}{2} \ln\left(\frac{p}{1-p}\right) \), where \(p\) is the error rate. The threshold is the Nishimori critical point: \( p_c \approx 0.1093(2) \) for the standard case, and \( p_c \to 0.5 \) for pure Z-bias. The stabilizer group is \( \mathbb{Z}_2 \times \mathbb{Z}_2 \) per plaquette/vertex, with anyonic excitations (e, m, ε) obeying fusion rules \( e \times m = \varepsilon \). | CONNECTION: The surface code lives on a square lattice — a **crystallographic group p4m** Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-05
DOI
https://doi.org/10.5281/zenodo.23152178
Primary Topic
Quantum Computing Algorithms and Architecture
Type
preprint
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preprint

Topological Order Dictates Surface Code Thresholds, XZZX Optimal Under Biased Noise — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture
preprint

Topological Order Dictates Surface Code Thresholds, XZZX Optimal Under Biased Noise — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

FINDING: Surface code error thresholds are governed by the topological order of a 2D lattice, with the XZZX variant achieving optimal thresholds under biased noise via a mapping to a classical disordered magnet (random-bond Ising model). | MATH: Surface code threshold ≈ 10.3% (depolarizing) for standard toric code; XZZX code threshold → 50% under pure Z-biased noise (theoretical limit). The decoding problem maps exactly to the random-bond Ising model (RBIM) on a square lattice with Nishimori condition: \( \beta J = \frac{1}{2} \ln\left(\frac{p}{1-p}\right) \), where \(p\) is the error rate. The threshold is the Nishimori critical point: \( p_c \approx 0.1093(2) \) for the standard case, and \( p_c \to 0.5 \) for pure Z-bias. The stabilizer group is \( \mathbb{Z}_2 \times \mathbb{Z}_2 \) per plaquette/vertex, with anyonic excitations (e, m, ε) obeying fusion rules \( e \times m = \varepsilon \). | CONNECTION: The surface code lives on a square lattice — a **crystallographic group p4m** Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture
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Topological Order Dictates Surface Code Thresholds, XZZX Optimal Under Biased Noise — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS