Quantum error correction with the toric code

• URL: http://arxiv.org/abs/2606.04079v1
• Date: Tue, 02 Jun 2026 17:50:21 GMT
• Title: Quantum error correction with the toric code
• Abstract summary: Quantum computing platforms based on tweezer-confined neutral atoms have emerged as a competitive modality.<n>Recent state of the art neutral atom demonstrations focus on the transition from the use of physical qubits to error-corrected logical qubits.<n>Here, we demonstrate many cycles of syndrome extraction in an indefinite toric quantum error correcting code, using mid-circuit measurement and replacement of lost qubits.<n>We characterize the logical error rate after up to 90 cycles, showing that logical information can be preserved through multiple rounds of qubit reloading.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Quantum computing platforms based on arrays of tweezer-confined neutral atoms have recently emerged as a competitive modality thanks to a direct path toward high qubit count, rapidly advancing operation fidelities, and their ability to execute circuits with arbitrary qubit connectivity. These features will enable the use of efficient error correction schemes with high encoding-rates, time-efficient decoding, and resource-efficient architectures based on transversal gates. With these goals in mind, recent state of the art neutral atom demonstrations focus on the transition from the use of physical qubits to error-corrected logical qubits, but to date there has been no demonstration of repeated error correction scalable to arbitrary depth. Here, we demonstrate many cycles of syndrome extraction in a toric quantum error correcting code, using mid-circuit measurement and replacement of lost qubits, including reloading of a qubit reservoir for indefinite coherent operation. We characterize the logical error rate after up to 90 cycles, showing that logical information can be preserved through multiple rounds of qubit reloading. Comparing two distances of the code up to 8 rounds of syndrome extraction shows a lower absolute logical error rate for the larger distance code.

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