Quantum advantages for syndrome-aware noisy logical observable estimation

Fuente: arXiv
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Main Authors: Tsubouchi, Kento, Kwon, Hyukgun, Jiang, Liang, Yoshioka, Nobuyuki
Format: Preprint
Published: 2026
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author Tsubouchi, Kento
Kwon, Hyukgun
Jiang, Liang
Yoshioka, Nobuyuki
author_facet Tsubouchi, Kento
Kwon, Hyukgun
Jiang, Liang
Yoshioka, Nobuyuki
contents Recent progress in fault-tolerant quantum computing suggests that leveraging error-syndrome information at the logical layer can substantially improve performance, including the estimation of logical observables from noisy states. In this work, based on quantum estimation theory, we develop an information-theoretic framework to quantify the utility of error syndromes for noisy logical observable estimation. We distinguish two operational regimes of such syndrome-aware protocols: classical protocols, in which the logical measurement basis is fixed and syndrome information is used only in classical post-processing, and quantum protocols, in which the logical quantum control can be tailored to depend on the observed error syndrome. For classical syndrome-aware protocols, we prove a universal limitation: on average, syndrome information can improve the effective logical error rate by at most a factor of two, implying at most a quadratic reduction in sampling overhead. In contrast, once syndrome-conditioned quantum control is permitted, we exhibit settings in which the effective logical error rate decays exponentially with the number of logical qubits. These findings provide fundamental guidance for designing future fault-tolerant architectures that actively exploit syndrome records rather than discarding them after decoding.
format Preprint
id arxiv_https___arxiv_org_abs_2603_05145
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Quantum advantages for syndrome-aware noisy logical observable estimation
Tsubouchi, Kento
Kwon, Hyukgun
Jiang, Liang
Yoshioka, Nobuyuki
Quantum Physics
Recent progress in fault-tolerant quantum computing suggests that leveraging error-syndrome information at the logical layer can substantially improve performance, including the estimation of logical observables from noisy states. In this work, based on quantum estimation theory, we develop an information-theoretic framework to quantify the utility of error syndromes for noisy logical observable estimation. We distinguish two operational regimes of such syndrome-aware protocols: classical protocols, in which the logical measurement basis is fixed and syndrome information is used only in classical post-processing, and quantum protocols, in which the logical quantum control can be tailored to depend on the observed error syndrome. For classical syndrome-aware protocols, we prove a universal limitation: on average, syndrome information can improve the effective logical error rate by at most a factor of two, implying at most a quadratic reduction in sampling overhead. In contrast, once syndrome-conditioned quantum control is permitted, we exhibit settings in which the effective logical error rate decays exponentially with the number of logical qubits. These findings provide fundamental guidance for designing future fault-tolerant architectures that actively exploit syndrome records rather than discarding them after decoding.
title Quantum advantages for syndrome-aware noisy logical observable estimation
topic Quantum Physics
url https://arxiv.org/abs/2603.05145