quantum-guide-algorithms-quantum-machine-learning SKILL.md skillA
quantum-guide-algorithms-quantum-machine-learning 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/quantum-guide-algorithms-quantum-machine-learning@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/quantum-guide-algorithms-quantum-machine-learning/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261012.5ce3b3e, committed Oct 12, 2026
- First version recorded
- Sep 24, 2026
- Size
- 3,074 bytes
- Repository stars
- 71
- License
- MIT
为 algorithms/quantum-machine-learning 选择完整的开源算法工作流，路由到本地可发现的专用 Skills。.
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
# algorithms/quantum-machine-learning 本地开源适配。上游指南 ID：`algorithms/quantum-machine-learning`。 分类导航：保留用户显式调用；自动任务直接选择叶子方法 Skill，或使用 `quantum-algorithms` 查找。 ## 选择工作流 按用户的数学问题、输入表示、计算规模和需要的输出选择一个叶子 Skill。知识解释可直接使用原理；计算任务加载叶子 Skill，使用其中的开源实现和现有代码执行 Tool。无需为阅读指南启动额外服务。 - [quantum-cvqnn](../quantum-cvqnn/SKILL.md)：两模有限 Fock 空间的位移、压缩、旋转、Kerr 和分束器层；SciPy 有限差分优化替换 Torch autograd，需增加 cutoff 检查截断。 - [quantum-fermi-hubbard-vqe](../quantum-fermi-hubbard-vqe/SKILL.md)：开放边界 Hubbard 链，Jordan-Wigner 与全 Fock 空间 VQE；粒子数是测量值，未强制固定粒子数扇区。 - [quantum-ising](../quantum-ising/SKILL.md)：开放边界二维矩形 Ising 网格，quimb MPS 与二阶 Strang 演化；报告键维数及截断参数，不分配完整态矢量。 - [quantum-qaoa](../quantum-qaoa/SKILL.md)：无权 MaxCut 的交替 cost/mixer 电路与参数优化；输出平均 cut 和最高概率位串。 - [quantum-qcbm](../quantum-qcbm/SKILL.md)：参数电路 Born 分布拟合目标概率，KL 目标与 total variation 对照。 - [quantum-vqc](../quantum-vqc/SKILL.md)：RY 特征编码与参数电路二分类；输出训练集指标，不能当作泛化效果。 - [quantum-vqe](../quantum-vqe/SKILL.md)：实 Pauli Hamiltonian、RY/RZ/CX ansatz 和 SciPy 优化；能量、优化记录及保留的参数可复查。 全量条目见[覆盖表](../../../docs/integrations/UNITARYLAB_OPEN_COVERAGE.md)。如果用户描述跨领域，按实际依赖组合相关叶子 Skill；不要要求用户先阅读整条目录链。 ## 来源与边界 …
Read the whole file at its exact version.
How to install
mdr add xi-zhao/openquantum/quantum-guide-algorithms-quantum-machine-learning@sha256:6226f9a3d3b284ecThe 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_in7vbs3qyat2te4k)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Sep 24, 2026 and Oct 12, 2026, about one every 9 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261012.5ce3b3e latest | 2026-10-12 | 5ce3b3e | 3,074 B | A | view · diff |
| git:20260924.97603fc | 2026-09-24 | 97603fc | 2,648 B | A | view · diff |
| git:20260924.4248211 | 2026-09-24 | 4248211 | 2,467 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 (3074 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_in7vbs3qyat2te4k GET https://markdownregistry.com/api/v1/resolve?ref=xi-zhao/openquantum/quantum-guide-algorithms-quantum-machine-learning GET https://markdownregistry.com/api/v1/blob/6226f9a3d3b284ec2a6dd6408c8db8d6ba5c91ee8709d425548d7311a91e94c9
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.