Exponential logical-error reduction in quantum memories via optimal syndrome-measurement timing
Abstract
Syndrome-measurement timing is usually treated as a fixed clock cycle of a quantum error-correcting code. For quantum memories, however, the inter-round interval is itself an optimizable control parameter: measuring too rarely allows idling errors to accumulate, whereas measuring too often introduces measurement-induced faults. We propose a phenomenological logical-noise model for this trade-off and analytically show that the optimal syndrome-measurement interval is inversely proportional to the code distance and that this produces an exponential reduction of logical-error rates in the distance relative to constant-interval schedules. Furthermore, for time-dependent idling noise, we develop an adaptive timing strategy based on the measured syndrome activity that outperforms every fixed-interval protocol, with largest gains for short but strong noise bursts. Simulations of rotated surface-code memories with matching decoding validate the phenomenological model, the distance-dependent optimum, and the adaptive-strategy improvement. Moreover, with the experimental noise parameters reported by Google in Nature 638 (2025), our model predicts reductions in logical-error rates per unit time of up to 40%.
Related
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BibTeX
@misc{haug2026exponential,
title = {{Exponential logical-error reduction in quantum memories via optimal syndrome-measurement timing}},
author = {Tobias Haug and Kishor Bharti and Leandro Aolita},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2608.06242},
eprint = {2608.06242},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2608.06242},
}
RIS
TY - UNPB
TI - Exponential logical-error reduction in quantum memories via optimal syndrome-measurement timing
AU - Tobias Haug
AU - Kishor Bharti
AU - Leandro Aolita
PY - 2026
DA - 2026/09/30
PB - arXiv
DO - 10.48550/arxiv.2608.06242
UR - https://arxiv.org/abs/2608.06242
AB - Syndrome-measurement timing is usually treated as a fixed clock cycle of a quantum error-correcting code. For quantum memories, however, the inter-round interval is itself an optimizable control parameter: measuring too rarely allows idling errors to accumulate, whereas measuring too often introduces measurement-induced faults. We propose a phenomenological logical-noise model for this trade-off and analytically show that the optimal syndrome-measurement interval is inversely proportional to the code distance and that this produces an exponential reduction of logical-error rates in the distance relative to constant-interval schedules. Furthermore, for time-dependent idling noise, we develop an adaptive timing strategy based on the measured syndrome activity that outperforms every fixed-interval protocol, with largest gains for short but strong noise bursts. Simulations of rotated surface-code memories with matching decoding validate the phenomenological model, the distance-dependent optimum, and the adaptive-strategy improvement. Moreover, with the experimental noise parameters reported by Google in Nature 638 (2025), our model predicts reductions in logical-error rates per unit time of up to 40%.
ER -