XZZX surface code
对噪声偏置进行定制的 surface-code 变体;检查算符混合 X 与 Z。
- 成熟度
- 核心基础
- 重要度
- 核心主题
- 证据
- 2 篇代表来源
主题要点
适合 dephasing-biased noise
需要 bias-aware edge weights / decoder
circuit-level extraction 会改变有效噪声偏置
全栈位置与直接关系
code/code/xzzx对噪声偏置进行定制的 surface-code 变体;检查算符混合 X 与 Z。
适合 dephasing-biased noise
需要 bias-aware edge weights / decoder
circuit-level extraction 会改变有效噪声偏置
code/code/xzzxCode dossier
这里汇总参数景观中的结构化记录、码族谱系中的构造说明、执行路线与外部知识库,作为完整主题页的代码专属延伸。
结构参数与同尺寸 rotated surface patch 相近;其优势主要来自噪声偏置适配,而不是本页六项结构参数。
rotated XZZX patch
rotated XZZX patch
rotated XZZX patch
适合 dephasing-biased noise
需要 bias-aware edge weights / decoder
circuit-level extraction 会改变有效噪声偏置
XZZX Surface d=5 Execution Route:混合 Pauli 面检查、偏置噪声加权图与各向异性解码。当前路线绑定 Bias-aware MWPM、Tensor-network decoder,并覆盖 Repeated XZZX plaquette checks、Bias-aware detection events。
所有六项结构指标均完整,可进入统一散点坐标。
偏置优势必须绑定偏置方向、边界、综合征电路与解码权重;局域 Clifford 等价不意味着固定物理噪声坐标系下性能相同。
2021The XZZX surface code2026Handbook of Error-Correcting CodesDeep reference
定义、代数构造、保护能力与执行证据均按来源段落独立维护;中文稿经过术语整理,英文稿保留用于逐段对照。
XZZX 码是表面码的一种混合 Pauli 稳定子表示,其面检查沿边界按 X-Z-Z-X 排列。它在体区与标准表面码局域 Clifford 等价,但把噪声偏置重新对齐到更有利的解码图,因此优势必须连同偏置模型和边界一起陈述。
The XZZX code is a mixed-Pauli surface-code presentation whose plaquette checks follow an X-Z-Z-X pattern. It is locally Clifford-equivalent to the standard surface code in the bulk, but aligns biased noise with a more favorable decoding graph, so any advantage must be stated with the bias model and boundaries.
数据量子比特置于二维格点,体区每个面测量 XZZX 型稳定子,边界检查按所选平面码几何截断。对交替子晶格施加 Hadamard 可建立与 CSS 表面码的局域等价,但该变换也会交换相应位置的物理 X/Z 噪声。
Data qubits occupy a two-dimensional lattice and bulk plaquettes measure XZZX stabilizers, with boundary checks truncated by the chosen planar geometry. Hadamards on an alternating sublattice give a local equivalence to a CSS surface code while also swapping physical X and Z noise on those sites.
在无偏噪声下它保持拓扑距离保护;在强 Z 或 X 偏置下,主导误差可形成近一维的匹配结构。距离与有效距离应区分:后者依赖偏置、边界方向和逻辑算符取向。
代表文献
It retains topological distance protection under unbiased noise, while strongly biased X or Z noise can reduce the dominant decoding problem to nearly one-dimensional matching. Code distance must be distinguished from effective distance, which depends on bias, boundary orientation, and logical-operator direction.
旋转平面 XZZX 距离 d 实例通常用约 d² 个数据量子比特编码一个逻辑量子比特,具体 n 与检查数取决于边界约定。阈值数字不是码参数,必须附带噪声偏置、测量模型、轮数和解码器。
A rotated planar distance-d XZZX instance typically encodes one logical qubit in about d squared data qubits, with exact n and check counts set by boundary conventions. A threshold is not a code parameter and must include noise bias, measurement model, number of rounds, and decoder.
与表面码相同,拓扑形变、lattice surgery 和逻辑 Pauli frame 是主要逻辑操作工具;体区局域 Clifford 等价并不自动给出保持边界与噪声偏置的横向通用门。非 Clifford 操作通常仍依赖魔态或码切换。
As for surface codes, deformation, lattice surgery, and Pauli-frame updates are the main logical-operation tools. Bulk local-Clifford equivalence does not produce a boundary- and bias-preserving universal transversal set; non-Clifford gates generally still use magic states or code switching.
解码器应在与 XZZX 检查和偏置噪声一致的时空图上赋权,可用加权最小权完美匹配、张量网络或联合相关解码。先把码变换为 CSS 再解码是可行表示,但必须同步变换噪声通道。
The decoder should weight a spacetime graph consistent with XZZX checks and the biased channel, using weighted matching, tensor networks, or correlated inference. Mapping the code to CSS form is valid only if the noise channel is transformed at the same time.
重复综合征轮次把数据与测量故障编码为三维检测事件;CNOT 次序需要抑制沿短逻辑方向的 hook error。偏置保持的综合征电路也是性能结论的一部分,若门噪声把 Z 偏置转成 X/Y,理论优势会被削弱。
Repeated syndrome rounds turn data and measurement faults into three-dimensional detection events, and CNOT order must keep hook errors away from the short logical direction. Bias-preserving extraction is part of the claim: gate noise that converts Z bias into X/Y faults can erase the predicted advantage.
XZZX 适合在二维近邻阵列上实现,资源形态与旋转表面码接近。实验评估应报告校准后的 Pauli 偏置、泄漏、相关错误和每轮检测事件,而不能只用理想独立 Z 噪声模拟替代硬件噪声。
XZZX is compatible with two-dimensional nearest-neighbor arrays and has resource geometry close to a rotated surface code. Hardware studies should report calibrated Pauli bias, leakage, correlations, and per-round detection events rather than substitute an ideal independent-Z simulation.
它与标准表面码在合适局域 Clifford 变换下等价,却在固定物理噪声坐标系中表现不同。相同拓扑相不意味着相同有限尺寸逻辑错误率;边界、检查调度和解码权重共同决定比较结果。
It is equivalent to the standard surface code under a suitable local Clifford transform but behaves differently in a fixed physical noise frame. Sharing a topological phase does not imply equal finite-size logical error rates; boundaries, schedules, and decoding weights control the comparison.
不要脱离噪声模型引用“高阈值”:码容量、现象学和线路级阈值是不同口径。外部实例只有在格点、边界、检查生成元、偏置方向和综合征轮次都对应时,才能认定为精确映射。
Do not quote a “high threshold” without its noise model: code-capacity, phenomenological, and circuit-level thresholds are different quantities. An external instance is exact only when lattice, boundaries, generators, bias direction, and syndrome rounds all match.