Threshold Error Rate Scaling in Toric Code Topological Quantum Error Correction — E8 Intelligence Research

FINDING: Topological quantum error correction (TQEC) using the toric code on a square lattice exhibits a threshold error rate for fault-tolerant quantum computation, scaling with lattice size and governed by a Z₂ gauge symmetry. MATH: - Toric code Hamiltonian: \( H = - \sum_v A_v - \sum_p B_p \), with \( A_v = \prod_{i \in v} \sigma_i^x \), \( B_p = \prod_{i \in p} \sigma_i^z \). - Stabilizer generators: \( A_v^2 = B_p^2 = I \), \( [A_v, B_p] = 0 \). - Logical operators: \( \bar{X} = \prod_{i \in \text{non-trivial cycle}} \sigma_i^x \), \( \bar{Z} = \prod_{i \in \text{non-trivial cocycle}} \sigma_i^z \). - Threshold error rate \( p_{\text{th}} \approx 0.109 \) (for perfect syndrome measurements) to \( \approx 0.103 \) (with circuit noise) — a dimensionless constant. - Scaling of logical error rate: \( p_L \propto (p / p_{\text{th}})^{L/2} \) for lattice size \( L \times L \). - Z₂ gauge symmetry: anyon types {1, e, m, ε} with fusion rules \( e \times m = ε \), \( e^2 = m^2 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
2026-07-27
DOI
https://doi.org/10.5281/zenodo.21617541
Primary Topic
Quantum Computing Algorithms and Architecture
Type
preprint
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preprint

Threshold Error Rate Scaling in Toric Code Topological Quantum Error Correction — E8 Intelligence Research

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

Threshold Error Rate Scaling in Toric Code Topological Quantum Error Correction — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

FINDING: Topological quantum error correction (TQEC) using the toric code on a square lattice exhibits a threshold error rate for fault-tolerant quantum computation, scaling with lattice size and governed by a Z₂ gauge symmetry. MATH: - Toric code Hamiltonian: \( H = - \sum_v A_v - \sum_p B_p \), with \( A_v = \prod_{i \in v} \sigma_i^x \), \( B_p = \prod_{i \in p} \sigma_i^z \). - Stabilizer generators: \( A_v^2 = B_p^2 = I \), \( [A_v, B_p] = 0 \). - Logical operators: \( \bar{X} = \prod_{i \in \text{non-trivial cycle}} \sigma_i^x \), \( \bar{Z} = \prod_{i \in \text{non-trivial cocycle}} \sigma_i^z \). - Threshold error rate \( p_{\text{th}} \approx 0.109 \) (for perfect syndrome measurements) to \( \approx 0.103 \) (with circuit noise) — a dimensionless constant. - Scaling of logical error rate: \( p_L \propto (p / p_{\text{th}})^{L/2} \) for lattice size \( L \times L \). - Z₂ gauge symmetry: anyon types {1, e, m, ε} with fusion rules \( e \times m = ε \), \( e^2 = m^2 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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