Phenomenological noise models and optimal thresholds of the 3D toric code
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2026
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IOP Publishing
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Ji-Ze Xu et al 2026 Quantum Sci. Technol. 11 035022
Abstract
Three-dimensional (3D) topological codes offer the advantage of supporting fault-tolerant implementations of non-Clifford gates, yet their performance against realistic noise remains largely unexplored. In this work, we focus on the paradigmatic 3D toric code and investigate its fault-tolerance thresholds in the presence of both Pauli and measurement errors. Two randomly coupled lattice gauge models that describe the code's correctability are derived, including a random 2-form Z2 gauge theory. By exploiting a generalized duality technique, we show that the 3D toric code exhibits optimal thresholds of pthX,M approximate to 11% and pthZ,M approximate to 2% against bit-flip and phase-flip errors, respectively. These threshold values show modest reductions compared to the case of perfect measurements, establishing the robustness of the 3D toric code against measurement errors. Our results constitute a substantial advance towards assessing the practical performance of 3D topological codes. This contribution is timely and in high demand, as rapid hardware advancements are bringing complex codes into experimental reach. Moreover, our work highlights the interdisciplinary nature of fault-tolerant quantum computation and holds significant interest for quantum information science, high-energy physics, and condensed matter physics.
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© 2026 The Author(s).
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This work is supported by the National Natural Science Foundation of China (Grants No. 12522502,
No. 12474145, and No. 12447101), the Strategic Priority Research Program of Chinese Academy of
Sciences (Grant No. XDB1680000), Shanghai Municipal Science and Technology Major Project (Grant
No. 2019SHZDZX01), Anhui Initiative in Quantum Information Technologies, the Fundamental
Research Funds for the Central Universities (Grant No. lzujbky-2024-jdzx06), the Natural Science
Foundation of Gansu Province (Grants No. 22JR5RA389 and No. 25JRRA799), and the ‘111 Center’
under Grant No. B20063. MAMD acknowledges support from Spanish MICIN Grant PID2021-122547NB-I00
and the ‘MADQuantumCM’ Project funded by Comunidad de Madrid (Programa de acciones complementarias)
and by the Ministry for Digital Transformation and of Civil Service of the Spanish Government through
the QUANTUM ENIA Project call—Quantum Spain Project, and by the European Union through the Recovery,
Transformation and Resilience Plan Next Generation EU within the framework of the Digital Spain 2026
Agenda, the CAM Programa TEC-2024/COM-84 QUITEMADCM.
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