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Low-overhead error detection with spacetime codes

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arxiv 2504.15725 v1 pith:KLPLGLCV submitted 2025-04-22 quant-ph

Low-overhead error detection with spacetime codes

classification quant-ph
keywords circuitserrorchecksapproacharbitrarycircuitcodesdetecting
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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abstract

We introduce a low-overhead approach for detecting errors in arbitrary Clifford circuits on arbitrary qubit connectivities. Our method is based on the framework of spacetime codes, and is particularly suited to near-term hardware since it has a much milder overhead in qubits and gates compared to error correction, while achieving a better sampling overhead than existing error mitigation methods. We present efficient algorithms for finding valid checks that are simultaneously low weight, satisfy connectivity constraints, and cover large detecting regions within the circuit. Using this approach, we experimentally demonstrate error detection on circuits of up to 50 logical qubits containing 2450 CZ gates, and show physical to logical fidelity gains of up to $236\times$. Furthermore, we show our algorithm can efficiently find checks in universal circuits, but the space of valid checks diminishes exponentially with the non-Cliffordness of the circuit. These theoretical and experimental results suggest that Clifford-dominated circuits are promising candidates for near-term quantum advantage.

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Cited by 3 Pith papers

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

  1. Sampling hard circuits with verifiably high fidelity

    quant-ph 2026-07 conditional novelty 8.0

    A 97-qubit experiment certifies a 0.284 fidelity lower bound for a 468-T-gate sampling circuit by combining spacetime-code error detection with the measured fidelity of an undoped Clifford reference.

  2. Opportunities and challenges in scaling quantum error detection on hardware

    quant-ph 2026-05 unverdicted novelty 5.0

    Hardware benchmarks of repetition and triangular color codes for quantum error detection show promise for scaling despite exponential sample costs and embedding overheads.

  3. Compressed Sensing for Efficient Fidelity Estimation of GHZ States

    quant-ph 2026-04 unverdicted novelty 5.0

    Compressed sensing exploits sparsity in GHZ states to reduce measurement overhead for fidelity estimation while maintaining accuracy, as shown in simulations and Quantinuum trapped-ion experiments with error detection.