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This research addresses a critical bottleneck in fault-tolerant quantum computing by proposing six deformation strategies to balance logical error rates between X and Z observables in concatenated codes. By mitigating asymmetry inherent in the Iceberg code, the study offers a practical pathway to reduce total error rates without requiring new code discoveries or excessive resource overhead. These findings are essential for advancing the physical implementation of scalable quantum processors.
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Exploring Asymmetric QEC Code Concatenation

arXiv2 min read

arXiv:2609.25251v1 Announce Type: new Abstract: Concatenated quantum error-correcting codes have recently gained popularity because they improve the effective distance of a joint code without requiring the discovery of new codes with desirable parameters. A common building block for such studies is the $[[4,1,2]]$ Iceberg code, the smallest error-detecting code and therefore the one with the lowest resource overhead. However, it has an asymmetric number of $X$ and $Z$ checks, and concatenating it produces skewed logical error rates (LERs) between the $X$ and $Z$ observables. This asymmetry can be mitigated by Clifford-deforming the individual blocks of the concatenation, but the space of possible Hadamard deformations grows doubly exponentially with the number of concatenation levels. We formalize this deformation space and investigate it by proposing six concrete deformation strategies, which we compare under a code capacity (with and without bias) noise model using a concatenated maximum-likelihood soft-information decoder. Among the strategies we study, one one of them achieves near-identical $X$ and $Z$ LERs in a logical-memory experiment while simultaneously reducing the total LER (the sum of the $X$ and $Z$ error rates).

Abstract:Concatenated quantum error-correcting codes have recently gained popularity because they improve the effective distance of a joint code without requiring the discovery of new codes with desirable parameters. A common building block for such studies is the $[[4,1,2]]$ Iceberg code, the smallest error-detecting code and therefore the one with the lowest resource overhead. However, it has an asymmetric number of $X$ and $Z$ checks, and concatenating it produces skewed logical error rates (LERs) between the $X$ and $Z$ observables. This asymmetry can be mitigated by Clifford-deforming the individual blocks of the concatenation, but the space of possible Hadamard deformations grows doubly exponentially with the number of concatenation levels. We formalize this deformation space and investigate it by proposing six concrete deformation strategies, which we compare under a code capacity (with and without bias) noise model using a concatenated maximum-likelihood soft-information decoder. Among the strategies we study, one one of them achieves near-identical $X$ and $Z$ LERs in a logical-memory experiment while simultaneously reducing the total LER (the sum of the $X$ and $Z$ error rates).

arXiv:2609.25251 [quant-ph]

(or arXiv:2609.25251v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.25251 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 266 words

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