Characterization of errors in a CNOT between surface code patches

Bálint Domokos1, Áron Márton1, and János K. Asbóth1,2

1Department of Theoretical Physics, Institute of Physics, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary
2HUN-REN Wigner Research Centre for Physics, H-1525 Budapest, P.O. Box 49., Hungary

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Abstract

As current experiments already realize small quantum circuits on error corrected qubits, it is important to fully understand the effect of physical errors on the logical error channels of these fault-tolerant circuits. Here, we investigate a lattice-surgery-based CNOT operation between two surface code patches under phenomenological error models. (i) For two-qubit logical Pauli measurements – the elementary building block of the CNOT – we optimize the number of stabilizer measurement rounds, usually taken equal to $d$, the size (code distance) of each patch. We find that the optimal number can be greater or smaller than $d$, depending on the rate of physical and readout errors, and the separation between the code patches. (ii) We fully characterize the two-qubit logical error channel of the lattice-surgery-based CNOT. We find a symmetry of the CNOT protocol, that results in a symmetry of the logical error channel. We also find that correlations between X and Z errors on the logical level are suppressed under minimum weight decoding.

Running practical algorithms on quantum computers requires very high precision, which can only be achieved using quantum error correction. Perhaps the most promising approach is using the so-called surface code, storing logical qubits in “patches” consisting of many physical qubits, and realizing logic gates via lattice surgery. In this work we investigated theoretically and numerically the effect of local errors (bit-flip and readout error) on a lattice-surgery-based CNOT operation. (1) We determined the logical qubit channels for noisy operations, and found that the symmetry of the CNOT operation appears in two logical error channels. (2) We also optimized , using Clifford simulation, the number of measurement rounds during a two-qubit logical Pauli measurement, which is the basic building block of the CNOT.

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[3] Ilya A. Simakov and Ilya S. Besedin, "Low-overhead quantum error-correction codes with a cyclic topology", Physical Review A 111 1, 012444 (2025).

[4] Ravuri Krishna, "Quantum Science Beyond the Hype: Facts, Myths, and Realistic Progress in Physics, Chemistry, and Computing", International Journal of Computational and Theoretical Chemistry 14 1, 1 (2026).

[5] Hugo Jacinto, Élie Gouzien, and Nicolas Sangouard, "Network requirements for distributed quantum computation", Physical Review Research 8 1, 013205 (2026).

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