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. 2023 May 18;14:2852. doi: 10.1038/s41467-023-38247-5

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 6 — round number for ${∣1⟩}_{L}$ and ${∣-⟩}_{L}$ states ( ${∣0⟩}_{L}$ and ${∣+⟩}_{L}$ in Fig. 2c, d) using four different decoding methods: matching uniform (pink), matching analytical (green), matching analytical with soft-decoding (gray), and maximum likelihood (blue). All decoders here are using leakage post-selected experimental data. Logical error per round extracted fits are shown in Fig. 2e, f.