Decoding across Transversal Clifford Gates in the Surface Code

Journal Article (2026)
Author(s)

M. Serra Peralta (TU Delft - QuTech Advanced Research Centre, TU Delft - Electrical Engineering, Mathematics and Computer Science, TU Delft - QCD/Terhal Group)

M.H. Shaw (TU Delft - QCD/Terhal Group, TU Delft - QuTech Advanced Research Centre, TU Delft - Electrical Engineering, Mathematics and Computer Science)

B.M. Terhal (TU Delft - QCD/Terhal Group, TU Delft - QuTech Advanced Research Centre, TU Delft - Electrical Engineering, Mathematics and Computer Science, TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Institute
QuTech Advanced Research Centre
DOI related publication
https://doi.org/10.1103/sk5y-25b1 Final published version
More Info
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Publication Year
2026
Language
English
Research Institute
QuTech Advanced Research Centre
Journal title
PRX Quantum
Issue number
1
Volume number
7
Article number
010335
Page Views
14
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Abstract

Transversal logical gates offer the opportunity for fast and low-noise logic, particularly when interspersed by a single round of parity check measurements of the underlying code. Using such circuits for the surface code requires decoding across logical gates, complicating the decoding task. We show how one can decode across an arbitrary sequence of transversal gates for the unrotated surface code, using a fast “logical observable” minimum-weight perfect matching-based decoder, and benchmark its performance in Clifford circuits under circuit-level noise. We propose windowed logical observable matching decoders to address the problem of fully efficient decoding: our basic windowed decoder is computationally efficient under the restriction of quiescent (slow) resets. Our “advanced” two-step windowed decoder can be computationally inefficient but allows fast resets. For both windowed decoders we identify errors which scale sublinearly in d—depending on the structure of the circuit—which can lead to logical failure, and we propose methods to adapt the decoding to remove such failures. Our work highlights the complexity and interest in efficient decoding of fast logic for the surface code.