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Logical qubits with erasure conversion using metastable neutral atoms

10 Pith papers cite this work. Polarity classification is still indexing.

10 Pith papers citing it
abstract

Implementing large-scale quantum algorithms with practical advantage will require fault-tolerance achieved through quantum error correction, but the associated overhead is prohibitive. This overhead can be reduced by engineering physical qubits with fewer errors, and by shaping the residual errors to be more easily correctable. In this work, we demonstrate quantum error correcting codes and logical qubit circuits in a metastable ytterbium-171 nuclear spin qubit with a noise bias towards erasure errors. These errors can be located separately from any syndrome information diagnosing the error, and we demonstrate adaptive circuit execution based on erasure information. We show that dephasing errors on the qubit during coherent transport can be strongly suppressed, and implement entangling gates that maintain a high fidelity in the presence of gate beam inhomogeneity or pointing errors. Furthermore, we demonstrate logical qubit encoding in the [[4, 2, 2]] code, with error correction during decoding based on mid-circuit erasure measurements despite the fact that the code is too small to correct any Pauli errors. Finally, we demonstrate logical qubit teleportation between multiple code blocks with conditionally selected ancillas based on mid-circuit erasure checks, a key part of leakage-robust error correction schemes using neutral atoms.

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2026 9 2025 1

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representative citing papers

Quantum error correction with the toric code

quant-ph · 2026-06-02 · unverdicted · novelty 7.0

Neutral atom platform achieves repeated toric code syndrome extraction with qubit reloading, preserving logical information over 90 cycles and showing distance-dependent logical error suppression.

Loss-biased fault-tolerant quantum error correction

quant-ph · 2026-04-23 · unverdicted · novelty 6.0

Loss biasing turns Rydberg errors into erasures in neutral-atom QEC, restoring fault-tolerant Pauli error scaling and enabling optimal erasure scaling with loss-aware decoding for shorter cycles.

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