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Low-overhead error detection with spacetime codes
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Low-overhead error detection with spacetime codes
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.
Forward citations
Cited by 3 Pith papers
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Sampling hard circuits with verifiably high fidelity
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.
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Opportunities and challenges in scaling quantum error detection on hardware
Hardware benchmarks of repetition and triangular color codes for quantum error detection show promise for scaling despite exponential sample costs and embedding overheads.
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Compressed Sensing for Efficient Fidelity Estimation of GHZ States
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.
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