qec-memory-experiment SKILL.md skillA
qec-memory-experiment from xi-zhao/openquantum is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add xi-zhao/openquantum/qec-memory-experiment@git:20261012.5ce3b3ePins git:20261012.5ce3b3e in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- xi-zhao/openquantum
- Path
.agents/skills/qec-memory-experiment/SKILL.md- Versions recorded
- 6
- Latest version
- git:20261012.5ce3b3e, committed Oct 12, 2026
- First version recorded
- Aug 24, 2026
- Size
- 3,866 bytes
- Repository stars
- 71
- License
- MIT
使用 OpenQuantum 的固定版本 Stim 与 PyMatching 运行 rotated surface-code X/Z memory 蒙特卡洛实验，生成 detector error model、采样 syndrome、执行 MWPM 解码并报告逻辑错误率及区间。用于 QEC 教学、解码回归、噪声设置对比和研究计算；不用于从单点估计阈值、声称真实硬件性能、接受任意 Stim 文件或在缺少来源链时宣称最终科学验收通过。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# QEC Memory Experiment <!-- BEGIN NATIVE SDK ACCESS --> ## 原生 SDK 路径 本能力同时支持 **Stim / PyMatching 的原生公开 API**。用户需要 自定义 Stim 电路、detector error model、Matching 图与批量译码 时，由 Agent 在固定依赖环境中编写和运行任务代码，不限于下文便捷 Tool 的预设模型。 使用 `node scripts/sdk-access.mjs inspect qec-memory-experiment` 定位环境，按[完整 SDK 工作流](../quantum-sdk-workbench/references/workflow.md)执行。模块导航：`stim`、`pymatching`；导航不是 API 白名单。 下文关于模型、门集、输入与预算的限制描述便捷 Tool 的合同；原生 SDK 另受上游版本、可选依赖、宿主资源与用户授权约束。已禁用或被拒绝的动作不能借代码路径绕过。执行状态和科研验收分别报告。 <!-- END NATIVE SDK ACCESS --> ## 核心对象 核心对象是一份可重放的 surface-code memory 实验配置：basis、code distance、rounds、shots、统一物理错误率和 seed。Stim 生成并采样电路，PyMatching 从 detector error model 构建 MWPM 解码器。 固定边界： - `basis`: `x` 或 `z`； - `distance`: 不小于 3 的奇数； - `rounds`: 正整数； - `shots`: 正整数； - `physicalErrorRate`: 0–1； - `seed`: 0–2^32-1。 统一错误率同时用于 Clifford 后退极化、每轮数据退极化、测量翻转和 reset 翻转。这是版本化实验 profile，不代表某台真实 QPU 的校准模型。 ## 工作流 1. 选择 basis、distance、rounds、shots、physicalErrorRate 和显式 seed。 2. 调用 `run_qec_memory_experiment`。主动作加载固定环境并返回 `packages`；依赖须显式准备；缺失或旧锁环境返回准备命令，不在 Tool 中安装。 3. 报告实际包版本、电路/DEM 摘要与 SHA-256、逻辑错误数、逻辑错误率、标准误和 Wilson 95% 区间。 4. 检查 observations：实验摘要、seed、计数恒等式、错误率重算、区间边界、零噪声不变量、来源链。 …
Read the whole file at its exact version.
How to install
mdr add xi-zhao/openquantum/qec-memory-experiment@sha256:de97146ee918a7faThe line at the top of this page pins the label git:20261012.5ce3b3e, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_of24hasa257niyyu)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Aug 24, 2026 and Oct 12, 2026, about one every 10 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261012.5ce3b3e latest | 2026-10-12 | 5ce3b3e | 3,866 B | A | view · diff |
| git:20260924.1dc6767 | 2026-09-24 | 1dc6767 | 3,002 B | A | view · diff |
| git:20260914.0f1d7a8 | 2026-09-14 | 0f1d7a8 | 2,747 B | A | view · diff |
| git:20260914.cc4fa9e | 2026-09-14 | cc4fa9e | 2,864 B | A | view · diff |
| git:20260905.d6752db | 2026-09-05 | d6752db | 2,567 B | A | view · diff |
| git:20260824.119e0b6 | 2026-08-24 | 119e0b6 | 2,445 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3866 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
xi-zhao/openquantum · 71 stars · license MIT · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_of24hasa257niyyu GET https://markdownregistry.com/api/v1/resolve?ref=xi-zhao/openquantum/qec-memory-experiment GET https://markdownregistry.com/api/v1/blob/de97146ee918a7faf910ce0bf9e315b7e3082c47df9c1d6a12fde2907ae3ea00
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.