tnqs-dynamics SKILL.md skillA
tnqs-dynamics 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/tnqs-dynamics@git:20261105.66b7714Pins git:20261105.66b7714 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/tnqs-dynamics/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261105.66b7714, committed Nov 5, 2026
- Size
- 2,996 bytes
- Repository stars
- 71
- License
- MIT
使用 TensorNetworkQuantumSimulator.jl 的公开 Julia API 研究任意图张量网络、电路与时间演化，在有效平面嵌入上使用 CTMRG，并核对采样权重及近似误差。.
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
# 非规则图张量网络 <!-- BEGIN NATIVE SDK ACCESS --> ## 原生 SDK 路径 本能力使用 **TensorNetworkQuantumSimulator.jl 的原生公开 API**。用户需要 非规则图张量网络、电路、时间演化、平面 CTMRG 与采样 时，由 Agent 在固定依赖环境中编写和运行任务代码。 使用 `node scripts/sdk-access.mjs inspect tnqs-dynamics` 定位环境，按[完整 SDK 工作流](../quantum-sdk-workbench/references/workflow.md)执行。模块导航：`TensorNetworkQuantumSimulator`、`JSON3`；导航不是 API 白名单。 CTMRG 需要有效平面嵌入；分别记录状态/环境维数、截断、精度与收敛。采样权重相对于实际规约态，函数名 certified 不构成科学验收。 本入口复用宿主文件与代码工具，没有新增通用执行 Tool。原生 SDK 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 --> 适用于保留处理器或晶格原始图结构的电路、动力学及平衡态计算。优先沿用已有 quimb、TeNPy 或 Yao 任务；需要在同一非方格图上比较 BP、boundary MPS 与有限平面 CTMRG 时选择本能力。 ## 方法与边界 1. 固定图、顶点到物理位点映射、位置、边、输入态、模型和 CPU 精度。CTMRG 要求连通、不同顶点位置、无交叉的平面嵌入；失败时报告原始原因，不静默换图或换算法。 2. 先用可枚举的小系统对照独立稠密矩阵或指标求和，再扩大问题。状态 bond dimension、环境维数、门截断、时间步和浮点误差分别记录；有环图 BP 收敛不等于精确。 3. v0.5.0 使用 Qiskit 的旋转角约定；`freenergy=-ln Z`。CTMRG 默认 SVD projector，`:eig` 为实验选项，不保证支持任意平面图。不要把环境维数增大当成单调误差定理。 4. `sample_certified` 的权重对应实际规约/缩放后的采样态。记录归一化、seed、样本数、权重、支持集和统计容差；函数名称不是严格误差证书或最终 Acceptance。 5. 公开 API、用户图及模型不受示例大小限制。Qiskit.jl、GPU、MPI 与额外 Python 桥接不在默认环境中；QASM 测量、反馈和动态电路语义须另行核验。 …
Read the whole file at its exact version.
How to install
mdr add xi-zhao/openquantum/tnqs-dynamics@sha256:db0951b2361808d5The line at the top of this page pins the label git:20261105.66b7714, 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_p2mxwtlbf4r3imkc)
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Versions
The registry has recorded 1 version of this file, committed on Nov 5, 2026.
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 (2996 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_p2mxwtlbf4r3imkc GET https://markdownregistry.com/api/v1/resolve?ref=xi-zhao/openquantum/tnqs-dynamics GET https://markdownregistry.com/api/v1/blob/db0951b2361808d5fc04b932746d53028f920d5299ab88971cbcff703e88faf0
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.