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Resilience of the surface code to error bursts

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arxiv 2406.18897 v1 pith:ZV5HG3JH submitted 2024-06-27 quant-ph

classification quant-ph
keywords errorratecodeburstssurfaceassumeblockgate
verification ladder T0 review T1 audit T2 compute T3 formal
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Quantum error correction works effectively only if the error rate of gate operations is sufficiently low. However, some rare physical mechanisms can cause a temporary increase in the error rate that affects many qubits; examples include ionizing radiation in superconducting hardware and large deviations in the global control of atomic systems. We refer to such rare transient spikes in the gate error rate as error bursts. In this work, we investigate the resilience of the surface code to generic error bursts. We assume that, after appropriate mitigation strategies, the spike in the error rate lasts for only a single syndrome extraction cycle; we also assume that the enhanced error rate is uniform across the code block. Under these assumptions, and for a circuit-level depolarizing noise model, we perform Monte Carlo simulations to determine the regime in burst error rate and background error rate for which the memory time becomes arbitrarily long as the code block size grows. Our results indicate that suitable hardware mitigation methods combined with standard decoding methods may suffice to protect against transient error bursts in the surface code.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Universal energy-space localization and stable quantum phases against time-dependent perturbations

    quant-ph 2025-10 conditional novelty 8.0 of 10

    For q-local Hamiltonians with bounded change, an initial eigenstate remains exponentially concentrated in a macroscopic energy window under arbitrary time-dependent perturbations.

  2. Leveraging biased noise for more efficient quantum error correction at the circuit-level with two-level qubits

    quant-ph 2025-05 conditional novelty 6.0 of 10

    Bias-preserving CZ gates plus small residual CNOT bias enable a 90% threshold improvement and up to 75% footprint reduction for the XZZX code in two-level qubits.

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