Symmetrically coupled dispersive readout achieves 384 ns single-shot erasure detection on dual-rail qubits with 6.0(2)×10^{-4} residual error per check and enables parallel erasure checks during single-qubit gates with median 7.2×10^{-5} error per gate.
Improved quantum error correction using soft information
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Dynamic compass code on heavy-hex lattice yields competitive threshold and experimental 38.3% logical error rate improvement for distance-5 via ACES noise characterization and leakage-aware post-selection.
A layered resource estimation framework applied to three quantum applications shows practical advantage requires 10^5-10^6 physical qubits, driven by size, speed, and controllability.
Soft decoding with analog measurement data raises repetition-code thresholds by 25% and reduces error rates up to 30x on superconducting qubits, with one byte per shot sufficient for near-optimal performance.
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Fast, High-Fidelity Erasure Detection of Dual-Rail Qubits with Symmetrically Coupled Readout
Symmetrically coupled dispersive readout achieves 384 ns single-shot erasure detection on dual-rail qubits with 6.0(2)×10^{-4} residual error per check and enables parallel erasure checks during single-qubit gates with median 7.2×10^{-5} error per gate.
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Scalable quantum error correction tailored for a heavy-hex qubit array
Dynamic compass code on heavy-hex lattice yields competitive threshold and experimental 38.3% logical error rate improvement for distance-5 via ACES noise characterization and leakage-aware post-selection.
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Assessing requirements to scale to practical quantum advantage
A layered resource estimation framework applied to three quantum applications shows practical advantage requires 10^5-10^6 physical qubits, driven by size, speed, and controllability.
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Soft information decoding with superconducting qubits
Soft decoding with analog measurement data raises repetition-code thresholds by 25% and reduces error rates up to 30x on superconducting qubits, with one byte per shot sufficient for near-optimal performance.