qpanda-qubo SKILL.md skillA

qpanda-qubo 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/qpanda-qubo@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/qpanda-qubo/SKILL.md
Versions recorded
8
Latest version
git:20261012.5ce3b3e, committed Oct 12, 2026
First version recorded
Aug 18, 2026
Size
6,215 bytes
Repository stars
71
License
MIT

使用 OpenQuantum 通过 Harness MCP Client 注册的 QPanda QUBO Tool,把命名二值目标和线性等式约束编译成 QUBO,或直接求解二次无约束二值优化问题,可选经典枚举复核编译和最优值。用于组合优化/金融建模中的 QUBO 建模、QAOA 变分近似与经典最优解比较;只在本地 CPU 模拟器运行,不连接本源量子云、不提交真实硬件任务,也不替代最终科学 Validator。.

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

# QPanda QUBO Workbench

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

本能力同时支持 **QPanda Algorithm 的原生公开 API**。用户需要 QUBO 建模、约束、算法与上游优化模块 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 qpanda-qubo` 定位环境,按[完整 SDK 工作流](../quantum-sdk-workbench/references/workflow.md)执行。模块导航:`pyqpanda_alg`;导航不是 API 白名单。

macOS 的完整 SDK setup 需要 Git、CMake 和 C++ 编译器,以固定 fmt 11.2.0 源码构建隔离动态库;其余上游 wheel 的系统依赖仍按平台核验,不修改 Homebrew 或裁剪算法模块。

原生程序导入库前,按环境定位器的 `bootstrap` 执行启动兼容处理:macOS 从独立目录加载固定 fmt 11 ABI,保留 pyqpanda_alg 顶层完整导入。这不限制公开 API,也不替换数值算法。

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 -->

## 工作边界

这个 Skill 负责组织 QUBO 求解工作流,真正的计算由 `qpanda_qubo` MCP Server 暴露并经 Harness MCP Client 注册的 Tool 完成,
底层调用本源官方 `pyqpanda_alg` 的 QUBO 模块(`QuadraticBinary` / `QUBO_QAOA`)。当前只开放
本地、无凭据的求解;调用前须显式准备固定 Python 环境(`pyqpanda3` 是原生 wheel):

- 二值变量数由模型决定;
- 可以用变量名、minimize/maximize 目标和线性等式约束建模;每个约束必须显式给出 penalty;
- QUBO 以数值系数给出:`quadratic`(方阵)、可选 `linear`、可选 `constant`;
- `method=traversal` 始终返回经典暴力遍历的确定性最优解;
- `method=qaoa` 运行本地 QAOA(`layer` 由用户选择),返回比特串概率分布。
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add xi-zhao/openquantum/qpanda-qubo@sha256:a38009500dbee727

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_wgvjpeppykt2ch3p.svg)](https://markdownregistry.com/a/art_wgvjpeppykt2ch3p)

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

Versions

The registry has recorded 8 versions of this file, between Aug 18, 2026 and Oct 12, 2026, about one every 8 days.

versioncommittedcommitsizeaudit
git:20261012.5ce3b3e latest2026-10-12 5ce3b3e 6,215 BA view · diff
git:20260924.1dc67672026-09-24 1dc6767 4,947 BA view · diff
git:20260914.0f1d7a82026-09-14 0f1d7a8 4,717 BA view · diff
git:20260914.cc4fa9e2026-09-14 cc4fa9e 4,828 BA view · diff
git:20260905.d6752db2026-09-05 d6752db 4,385 BA view · diff
git:20260827.79c88b82026-08-27 79c88b8 4,330 BA view · diff
git:20260824.e3885a62026-08-24 e3885a6 4,157 BA view · diff
git:20260818.4e1d05e2026-08-18 4e1d05e 3,308 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 (6215 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 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_wgvjpeppykt2ch3p
GET https://markdownregistry.com/api/v1/resolve?ref=xi-zhao/openquantum/qpanda-qubo
GET https://markdownregistry.com/api/v1/blob/a38009500dbee72784a33d80ad477e56e439bf5d2d62ace14ee64bc9c253cb99

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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