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Performance analysis for crosstalk errors between parallel entangling gates in trapped-ion quantum error correction

Fangxuan Liu1,2,*, Gaoxiang Tang1,2,*, Luming Duan1,3,4, and Yukai Wu1,2,3,†

  • 1Center for Quantum Information, Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing 100084, People’s Republic of China
  • 2Shanghai Qi Zhi Institute, AI Tower, Xuhui District, Shanghai 200232, China
  • 3Hefei National Laboratory, Hefei 230088, People’s Republic of China
  • 4New Cornerstone Science Laboratory, Beijing 100084, People’s Republic of China

  • *These authors contribute equally to this work.
  • †Contact author: wyukai@mail.tsinghua.edu.cn

Phys. Rev. Applied 24, 014032 – Published 16 July, 2025

DOI: https://doi.org/10.1103/c7w3-pxls

Abstract

The ability to execute a large number of quantum gates in parallel is a fundamental requirement for quantum error correction, allowing an error threshold to exist under the finite coherence time of physical qubits. Recently, two-dimensional ion crystals have been demonstrated as a plausible approach to scale up the qubit number in a trapped ion quantum computer. However, although the long-range Coulomb interaction between the ions enables their strong connectivity, it also complicates the design of parallel gates and leads to intrinsic crosstalk errors. Here we examine the effects of crosstalk errors on a rotated surface code. We show that, instead of the distance-3 code considered in previous works, a distance-5 code is necessary to correct the two-qubit crosstalk error. We numerically calculate the logical error rates and coherence times under various crosstalk errors, gate infidelities, and coherence times of the physical qubits, and we optimize the parallelism level according to the competition between different error sources. We show that a break-even point can be reached under realistic parameters. We further analyze the spatial dependence of the crosstalk, and discuss the scaling of the logical error rate versus the code distance for the long-term goal of a logical error rate below 10−10.

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