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Performance of planar Floquet codes with Majorana-based qubits

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arxiv 2202.11829 v2 pith:4ABQ66TN submitted 2022-02-23 quant-ph

classification quant-ph
keywords codesquantumfloquetqubitsimplementedperformancethresholdachieve
verification ladder T0 review T1 audit T2 compute T3 formal

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Quantum error correction is crucial for any quantum computing platform to achieve truly scalable quantum computation. The surface code and its variants have been considered the most promising quantum error correction scheme due to their high threshold, low overhead, and relatively simple structure that can naturally be implemented in many existing qubit architectures, such as superconducting qubits. The recent development of Floquet codes offers another promising approach. By going beyond the usual paradigm of stabilizer codes, Floquet codes achieve similar performance while being constructed entirely from two-qubit measurements. This makes them particularly suitable for platforms where two-qubit measurements can be implemented directly, such as measurement-only topological qubits based on Majorana zero modes (MZMs). Here, we explain how two variants of Floquet codes can be implemented on MZM-based architectures without any auxiliary qubits for syndrome measurement and with shallow syndrome extraction sequences. We then numerically demonstrate their favorable performance. In particular, we show that they improve the threshold for scalable quantum computation in MZM-based systems by an order of magnitude, and significantly reduce space and time overheads below threshold.

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Cited by 1 Pith paper

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

  1. Planar fault-tolerant circuits for non-Clifford gates on the 2D color code

    quant-ph 2025-05 conditional novelty 8.0 of 10

    The paper constructs a family of planar fault-tolerant 'twisted color circuits' that implement logical T gates and magic-state measurements on the 2D color code via a path-integral and color-cohomology framework.

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