Surface code scaling on heavy-hex superconducting quantum processors

Arian Vezvaee

doi:10.1038/s41467-026-76090-6

2026-07-29

DOI：10.1038/s41467-026-76090-6

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摘要

En 中文

在原生连接性不匹配代码的硬件上验证表面码量子存储器的亚阈值扩展性仍是一个核心挑战。我们通过协同设计代码嵌入和控制来应对这一挑战：一种深度最小化的基于SWAP的“折叠-展开”嵌入，使用桥接辅助量子位，并结合鲁棒性、间隙感知的动态解耦（DD）。我们展示了从距离3到(dx = 3, dz = 5)和(dx = 5, dz = 3)的各向异性扩展分别改善了Z基和X基逻辑状态的防护，校准后的约30%噪声降低将使该重六边形布局上实现各向同性(5, 5)与(3, 3)的扩展成为可能。我们证明DD抑制了空闲间隙中的相干ZZ串扰和非马尔可夫相位退相干，消除了虚假的亚阈值扩展性主张。为量化性能，我们推导出一个纠缠保真度指标，该指标揭示广泛使用的单参数抑制因子拟合可能错误表征代码性能。我们的结果表明，通过在非原生架构上优化DD，可为鲁棒的亚阈值表面码扩展提供一条路径。在原生连接性不匹配代码的硬件上，验证亚阈值扩展性（即当物理错误低于阈值时，增加代码距离可降低逻辑错误率）仍是一个重大挑战。在此，作者展示了在重六边形超导处理器上使用连接感知嵌入和动态解耦实现的表面码方向性亚阈值扩展。

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期刊

Nature Communications

IF:

15.7

论文数:

9.4W

被引数:

91.2W

机构

Universidad Autonoma de Madrid

学者数:

207

论文数: 101

被引数: 0

University of Southern California

学者数:

893

论文数: 324

被引数: 0

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