clifft-sampling SKILL.md skillA

clifft-sampling from xi-zhao/openquantum is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add xi-zhao/openquantum/clifft-sampling@git:20261012.5ce3b3e

Pins 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/clifft-sampling/SKILL.md
Versions recorded
6
Latest version
git:20261012.5ce3b3e, committed Oct 12, 2026
First version recorded
Sep 14, 2026
Size
4,315 bytes
Repository stars
71
License
MIT

用固定 Clifft 对 Clifford+T 电路做带噪采样或 Stim 格式的纠错记录采样,按活跃宽度控制成本,可选最终测量密度矩阵参考。.

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

# Clifft 近 Clifford 采样

<!-- BEGIN NATIVE SDK ACCESS -->
## 原生 SDK 路径

本能力同时支持 **Clifft / Stim 的原生公开 API**。用户需要 自定义电路、噪声模型、测量与采样程序 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 clifft-sampling` 定位环境,按[完整 SDK 工作流](../quantum-sdk-workbench/references/workflow.md)执行。模块导航:`clifft`、`stim`;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 -->

结构化最终测量调用 Harness 注册的 `clifft_local.sample_clifft_circuit`。用于 T 门干涉、Clifford+T 电路和门后去极化噪声实验。

- 提交结构化 `gates`,仅支持 H、S、T、X、Y、Z、CX、CZ;CX/CZ 的 targets 顺序为控制位、目标位。量子位数、门数和 shots 由输入决定。maxActiveWidth 默认为 null;只有用户显式设置该预算时才按实际 peakActiveWidth 检查。
- 初态固定为全零态;每个门后,在该门涉及的各量子位独立施加 `DEPOLARIZE1(p)`。`p` 是 Pauli 错误总概率,不是直接乘在密度矩阵上的白噪声混合系数。
- 只做最终 Z 测量,位串从左到右为 q0、q1……。密度矩阵参考运行时返回完整位串(complete);跳过参考时仅返回实际出现的位串(observed_only),频数之和仍等于 shots。
- referenceMode=auto|required|skip;独立密度矩阵参考默认在 6 qubits 内自动运行;required 尝试所请求规模;skip 主动跳过。未运行时 reference.status=not_run,参考概率、TVD、trace error 均为 null。密度矩阵参考描述相同的噪声模型;采样频数仍有有限 shots 不确定度。比较 total variation distance 时结合样本数,不要求频数与解析概率完全相等。
- 该结构化接口不开放中间测量、反馈或 Stim 文本;需要记录采样时使用下述独立 Tool。
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add xi-zhao/openquantum/clifft-sampling@sha256:9d0cacee5cd1e999

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_74it4q5wjsnhdcat.svg)](https://markdownregistry.com/a/art_74it4q5wjsnhdcat)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 6 versions of this file, between Sep 14, 2026 and Oct 12, 2026, about one every 6 days.

versioncommittedcommitsizeaudit
git:20261012.5ce3b3e latest2026-10-12 5ce3b3e 4,315 BA view · diff
git:20260924.1dc67672026-09-24 1dc6767 3,485 BA view · diff
git:20260924.e39d1222026-09-24 e39d122 3,242 BA view · diff
git:20260914.cc4fa9e2026-09-14 cc4fa9e 1,908 BA view · diff
git:20260914.3138b362026-09-14 3138b36 2,065 BA view · diff
git:20260914.b5338c72026-09-14 b5338c7 1,428 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4315 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

GitHub

xi-zhao/openquantum · 71 stars · license MIT · pushed 2026-11-01 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_74it4q5wjsnhdcat
GET https://markdownregistry.com/api/v1/resolve?ref=xi-zhao/openquantum/clifft-sampling
GET https://markdownregistry.com/api/v1/blob/9d0cacee5cd1e9996eb08e9cc1ef1691cabb9fc73b91ecac708119f201e00644

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.

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