diff --git a/.agents/capability-packages.yml b/.agents/capability-packages.yml
index e773b70b..3884472d 100644
--- a/.agents/capability-packages.yml
+++ b/.agents/capability-packages.yml
@@ -2521,3 +2521,6 @@ packages:
- id: rcmps-field-theory
level: L0
+
+ - id: ppvm-simulation
+ level: L0
diff --git a/.agents/sdk-libraries.json b/.agents/sdk-libraries.json
index d213fcd5..7bb4d165 100644
--- a/.agents/sdk-libraries.json
+++ b/.agents/sdk-libraries.json
@@ -1596,6 +1596,23 @@
],
"nativeOnly": true,
"juliaVersion": "1.12.7"
+ },
+ {
+ "id": "ppvm-simulation",
+ "title": "PPVM",
+ "language": "python",
+ "modules": [
+ "ppvm"
+ ],
+ "group": "qec",
+ "workflow": "Pauli 传播、广义 tableau、近 Clifford 观测量与含丢失/泄漏的自定义电路采样",
+ "conditions": [
+ "显式准备固定源码的 Python 3.12 / Rust 环境；完整原生 API 可用，成本取决于非 Clifford 分支与截断。",
+ "Heisenberg 计算倒序处理整条门和噪声链；LOST 与比特值分开；reset_state 不恢复丢失/泄漏。",
+ "非对称丢失的存活分支反作用尚未实现；开发数值对照不构成器件模型或科学验收。"
+ ],
+ "nativeOnly": true,
+ "pythonVersion": "3.12"
}
]
}
diff --git a/.agents/skills/README.md b/.agents/skills/README.md
index 6e65a0c4..3d1d3b5a 100644
--- a/.agents/skills/README.md
+++ b/.agents/skills/README.md
@@ -13,9 +13,9 @@
## 当前 Skill
-以下 189 个 Skill 随源码分发；它们与 MCP Server 不是一一对应关系，知识型 Skill 可以不绑定专用 Tool，
+以下 190 个 Skill 随源码分发；它们与 MCP Server 不是一一对应关系，知识型 Skill 可以不绑定专用 Tool，
工作流也可以使用多个服务或进程内原生 Tool。连接默认配置与凭据条件见[MCP 服务目录](../../docs/CAPABILITIES.md#mcp-服务目录)。
-当前 176 项可由模型自动选择，13 个分类索引仅保留用户显式调用；名称和来源映射不变。
+当前 177 项可由模型自动选择，13 个分类索引仅保留用户显式调用；名称和来源映射不变。
分批建议与兼容影响见[扩展治理清单](../../docs/architecture/EXTENSION_GOVERNANCE.md)。
| Skill | 作用 | 依赖的执行模块 |
@@ -51,6 +51,7 @@
| `slowquant-response` | 分子线性响应、激发能和跃迁性质；保留响应近似与验证边界 | 宿主代码 Tool；显式准备固定源码 SDK |
| [`tnqs-dynamics`](tnqs-dynamics/SKILL.md) | 非规则图张量网络、电路、有限平面 CTMRG 与采样 | 宿主代码 Tool；显式准备固定 Julia SDK；保留几何与收敛边界 |
| [`rcmps-field-theory`](rcmps-field-theory/SKILL.md) | 连续 RCMPS、标量场优化、正常序观测量与同真空激发 | 宿主代码 Tool；显式准备固定 Julia CPU SDK；区分传递 gap 与 Hamiltonian 能隙 |
+| [`ppvm-simulation`](ppvm-simulation/SKILL.md) | Pauli 传播、广义 tableau 与丢失/泄漏采样 | 宿主代码 Tool；显式准备 Python/Rust SDK；区分近似、LOST 与重置语义 |
| `tesseract-decoding` | Stim DEM、syndrome、搜索式解码器与统计 | 宿主代码 Tool；显式准备 python 环境 |
| `tqec-compilation` | BlockGraph、逻辑计算块、相关面与 Stim 线路生成 | 宿主代码 Tool；显式准备 python 环境 |
| `tsim-sampling` | Clifford/非 Clifford 线路、噪声、detector 与 observable 采样 | 宿主代码 Tool；显式准备 python 环境 |
diff --git a/.agents/skills/ppvm-simulation/SKILL.md b/.agents/skills/ppvm-simulation/SKILL.md
new file mode 100644
index 00000000..ec81e764
--- /dev/null
+++ b/.agents/skills/ppvm-simulation/SKILL.md
@@ -0,0 +1,42 @@
+---
+name: ppvm-simulation
+description: 用 PPVM 原生 API 编写 Pauli 传播、广义稳定子 tableau 和含丢失/泄漏的自定义电路；区分观测量反向传播、采样与物理近似。
+---
+
+# PPVM
+
+
+## 原生 SDK 路径
+
+本能力使用 **PPVM 的原生公开 API**。用户需要 Pauli 传播、广义 tableau、近 Clifford 观测量与含丢失/泄漏的自定义电路采样 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 ppvm-simulation` 定位环境，按[完整 SDK 工作流](../quantum-sdk-workbench/references/workflow.md)执行。模块导航：`ppvm`；导航不是 API 白名单。
+
+显式准备固定源码的 Python 3.12 / Rust 环境；完整原生 API 可用，成本取决于非 Clifford 分支与截断。
+
+Heisenberg 计算倒序处理整条门和噪声链；LOST 与比特值分开；reset_state 不恢复丢失/泄漏。
+
+非对称丢失的存活分支反作用尚未实现；开发数值对照不构成器件模型或科学验收。
+
+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。
+
+
+
+当任务需要近 Clifford 观测量、非 Clifford tableau 或中性原子丢失/泄漏模型时使用。先比较现有 Stim、Tsim、Clifft 与 monoprop：仅需普通 Clifford 采样或通用算符传播时，不必引入 PPVM。
+
+## 方法选择与边界
+
+- `PauliSum` / `LossyPauliSum`：从观测量出发反向传播，**整条门和噪声操作链倒序，旋转角保留原符号**。PauliSum 没有 `t()` 简写，T 门的观测量传播使用 `rz(q, math.pi/4)`（忽略无关全局相位）。记录截断规则，不能以一次有限截断计算宣称收敛。
+- `GeneralizedTableau`：按物理时间顺序作用门，再测量。Python 绑定支持 1–2048 qubit；此上限不表示这些规模在任意非 Clifford 电路上都可承受，系数可能迅速增长。
+- `StimProgram` / `sample_stim`：使用固定版本支持的 Stim 指令及扩展，不假定与 Stim 全指令等价。保存原始测量记录；`LOST=2` 不是布尔比特，不能直接转成 detector flips。
+- `reset_state` 只重置活跃 qubit，保留丢失/泄漏标记；`reset` 才恢复计算子空间。丢失与泄漏的模型语义分别报告。
+- 相关丢失参数 `p[1]` 是失去某个指定 qubit 的概率，恰好失去一个的总概率为 `2*p[1]`。非对称丢失目前不包含存活分支反作用；不能宣称完整物理量子通道或器件数字孪生已验证。
+- 保存种子与线程设置；用 `fork(seed=...)` 构造独立随机轨迹，复制对象可能复制随机数状态。
+
+## 执行与证据
+
+先发现环境，再显式准备，随后用宿主代码工具运行用户的完整程序。准备会下载和编译 Rust/Python 依赖；首次执行不隐式安装。硬件或外部服务仍需另行授权。
+
+[可编辑原生示例](references/native-example.py)展示带噪观测量与丢失恢复，参数只是示例，不是公开 API 白名单。程序、输入、锁文件摘要、实际版本、近似与原始输出一起保留；用独立解析值、密度矩阵或其他适用方法检查任务的科学结论。
+
+[使用、来源与实测范围](../../../docs/integrations/PPVM.md)。原生程序执行与开发回归不推导最终科学验收，`scientificValidation=not_evaluated`。
diff --git a/.agents/skills/ppvm-simulation/pyproject.toml b/.agents/skills/ppvm-simulation/pyproject.toml
new file mode 100644
index 00000000..a60234e3
--- /dev/null
+++ b/.agents/skills/ppvm-simulation/pyproject.toml
@@ -0,0 +1,10 @@
+[project]
+name = "openquantum-ppvm-simulation"
+version = "0.1.0"
+requires-python = ">=3.12,<3.13"
+dependencies = [
+ "bloqade-ppvm @ git+https://github.com/QuEraComputing/ppvm.git@3cc883fd93b2475cb10c892a8a31adcc09a7579c#subdirectory=ppvm-python",
+]
+
+[tool.uv]
+package = false
diff --git a/.agents/skills/ppvm-simulation/references/native-example.py b/.agents/skills/ppvm-simulation/references/native-example.py
new file mode 100644
index 00000000..020c029e
--- /dev/null
+++ b/.agents/skills/ppvm-simulation/references/native-example.py
@@ -0,0 +1,43 @@
+"""Editable public PPVM program; run in a new task directory after explicit setup."""
+import importlib.metadata
+import json
+import math
+from pathlib import Path
+
+from ppvm import GeneralizedTableau, MeasurementResult, PauliSum
+
+theta, gamma, seed = 0.73, 0.23, 20261110
+# Physical order: Rx(theta), then amplitude damping. Heisenberg order reverses both.
+observable = PauliSum.new(1, ["Z"])
+observable.amplitude_damping(0, gamma)
+observable.rx(0, theta)
+expectation = observable.overlap_with_zero()
+reference = gamma + (1 - gamma) * math.cos(theta)
+assert abs(expectation - reference) < 1e-10
+
+state = GeneralizedTableau(2, seed=seed)
+state.h(0)
+state.cnot(0, 1)
+bell_zz = state.expectation("ZZ")
+assert abs(bell_zz - 1) < 1e-10
+state.loss_channel(1, 1.0)
+state.reset_state(1)
+lost = state.measure(1)
+assert lost == MeasurementResult.LOST
+state.reset(1)
+restored = state.measure(1)
+assert restored == MeasurementResult.ZERO
+
+result = {
+ "upstreamVersion": importlib.metadata.version("bloqade-ppvm"),
+ "parameters": {"theta": theta, "amplitudeDamping": gamma, "seed": seed},
+ "zAfterRxAndDamping": expectation,
+ "analyticReference": reference,
+ "bellZZ": bell_zz,
+ "afterStateOnlyReset": lost.name,
+ "afterFullReset": restored.name,
+ "scope": "small public-API checks; not a hardware or performance benchmark",
+ "scientificValidation": "not_evaluated",
+}
+with Path("result.json").open("x", encoding="utf-8") as output:
+ output.write(json.dumps(result, indent=2) + "\n")
diff --git a/.agents/skills/ppvm-simulation/uv.lock b/.agents/skills/ppvm-simulation/uv.lock
new file mode 100644
index 00000000..96e07c6b
--- /dev/null
+++ b/.agents/skills/ppvm-simulation/uv.lock
@@ -0,0 +1,621 @@
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+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f6/cc/6253133b5bb138fc3306cebfbda2c520f545d36b5be2c7255cc528bb45d6/typing_extensions-4.16.0.tar.gz", hash = "sha256:dc983d19a509c94dba722ee6abd33940f7c05a89e243c47e907eb4db6f1a43e5", size = 113555, upload-time = "2026-07-02T08:40:05.92Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/49/d3/b8441a820a491ddfc024b0b0cf0393375b75ea13866d9c66727e54c2fc80/typing_extensions-4.16.0-py3-none-any.whl", hash = "sha256:481caa481374e813c1b176ada14e97f1f67a4539ce9cfeb3f350d78d6370c2e8", size = 45571, upload-time = "2026-07-02T08:40:04.659Z" },
+]
+
+[[package]]
+name = "typing-inspection"
+version = "0.4.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+ { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ff/50/0195198eb1d75bab716bb0a813abea4cc394bfa17a92a189f021a34859af/typing_inspection-0.4.5.tar.gz", hash = "sha256:7f16c411e7930dc79596d42ab44672a3fe5f60eb34b781a1647e7872363120c7", size = 81194, upload-time = "2026-11-04T14:13:23.774Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/de/0c/ea2544850a7c135e15033a5c7a8e7211136184b7ae63e2239d557c2b3019/typing_inspection-0.4.5-py3-none-any.whl", hash = "sha256:bc210535442b39e1bf2805e0c7a17dfd6a4ace760c84c7f7d16245d23a6b1c39", size = 14874, upload-time = "2026-11-04T14:13:22.616Z" },
+]
+
+[[package]]
+name = "tzdata"
+version = "2026.6"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/7a/29/6a1391d31cd00ff9e927215a224a880e1e84e826b64ba80a499e51c074d8/tzdata-2026.6.tar.gz", hash = "sha256:85d2cd9c09f81f0bb29db27759fc83af4f1e620efb814f8c5bf8b4cc4feece6d", size = 201017, upload-time = "2026-10-28T09:57:09.137Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/0a/66/9a06c2227fedfd4919f0eaaa8b94377d9730882a7e4f95823c9a331ab5e1/tzdata-2026.6-py2.py3-none-any.whl", hash = "sha256:0a10eec6e13ef16b627fabed9a5f2ba61a62b1c67f327305f4e7e412a70b4aec", size = 348210, upload-time = "2026-10-28T09:57:07.276Z" },
+]
diff --git a/.github/workflows/ppvm-sdk.yml b/.github/workflows/ppvm-sdk.yml
new file mode 100644
index 00000000..366a2159
--- /dev/null
+++ b/.github/workflows/ppvm-sdk.yml
@@ -0,0 +1,67 @@
+name: PPVM SDK
+
+permissions:
+ contents: read
+
+on:
+ pull_request:
+ paths:
+ - '.agents/skills/ppvm-simulation/**'
+ - '.github/workflows/ppvm-sdk.yml'
+ - 'tests/fixtures/ppvm-*'
+ - 'tests/ppvm-*'
+ push:
+ branches: [main]
+ paths:
+ - '.agents/skills/ppvm-simulation/**'
+ - '.github/workflows/ppvm-sdk.yml'
+ - 'tests/fixtures/ppvm-*'
+ - 'tests/ppvm-*'
+
+jobs:
+ native-sdk:
+ runs-on: macos-latest
+ timeout-minutes: 45
+ defaults:
+ run:
+ shell: bash
+ steps:
+ - uses: actions/checkout@v7
+ - uses: actions/setup-node@v6
+ with:
+ node-version: '24'
+ cache: npm
+ - run: npm ci --ignore-scripts
+ - uses: astral-sh/setup-uv@v7
+ - name: Select isolated task directories
+ run: |
+ echo "OPENQUANTUM_PYTHON_ENV_ROOT=$RUNNER_TEMP/ppvm-python" >> "$GITHUB_ENV"
+ echo "UV_CACHE_DIR=$RUNNER_TEMP/ppvm-uv-cache" >> "$GITHUB_ENV"
+ echo "OPENQUANTUM_CARGO_HOME=$RUNNER_TEMP/ppvm-cargo" >> "$GITHUB_ENV"
+ echo "OPENQUANTUM_SDK_CHECK_OUTPUT=$RUNNER_TEMP/ppvm-evidence" >> "$GITHUB_ENV"
+ echo "RAYON_NUM_THREADS=2" >> "$GITHUB_ENV"
+ - name: Explicit preparation of the frozen source environment
+ run: |
+ rustc --version
+ node scripts/setup-sdk.mjs ppvm-simulation
+ git diff --exit-code -- .agents/skills/ppvm-simulation/pyproject.toml .agents/skills/ppvm-simulation/uv.lock
+ - name: Offline native user program through the existing SDK interface
+ env:
+ OPENQUANTUM_ECOSYSTEM_CHECKS: '1'
+ OPENQUANTUM_SDK_IDS: ppvm-simulation
+ run: node --test tests/sdk-ecosystem-live.test.mjs
+ - name: Independent numerical references and failure cases
+ run: |
+ mkdir -p "$OPENQUANTUM_SDK_CHECK_OUTPUT"
+ sandbox-exec -p '(version 1) (allow default) (deny network*)' "$OPENQUANTUM_PYTHON_ENV_ROOT/ppvm-simulation/bin/python" -B tests/fixtures/ppvm-validation.py 2>&1 | tee "$OPENQUANTUM_SDK_CHECK_OUTPUT/numerical.log"
+ - name: Save execution evidence
+ if: always()
+ uses: actions/upload-artifact@v7
+ with:
+ name: ppvm-sdk-evidence
+ path: |
+ .agents/skills/ppvm-simulation/pyproject.toml
+ .agents/skills/ppvm-simulation/uv.lock
+ ${{ runner.temp }}/ppvm-evidence
+ include-hidden-files: true
+ if-no-files-found: error
diff --git a/README.md b/README.md
index 33ed0059..493984eb 100644
--- a/README.md
+++ b/README.md
@@ -206,6 +206,7 @@ npm run dev
| 分子激发态与光谱 | [SlowQuant](.agents/skills/slowquant-response/SKILL.md)：酉波函数、量子线性响应、跃迁性质与吸收谱 | 活性空间、响应近似与独立参考；[使用与验证边界](docs/integrations/SLOWQUANT.md) |
| 非规则图张量网络 | [TNQS](.agents/skills/tnqs-dynamics/SKILL.md)：图上的电路、动力学、有限平面 CTMRG 与采样 | 有效平面嵌入、截断与环境收敛；[使用与验证边界](docs/integrations/TNQS.md) |
| 连续相对论场论 | [RcmpsCore](.agents/skills/rcmps-field-theory/SKILL.md)：1+1 维标量场、RCMPS 优化与同真空激发 | 正常序、背景收敛与能隙定义；[使用与验证边界](docs/integrations/RCMPS.md) |
+| 近 Clifford 与丢失/泄漏仿真 | [PPVM](.agents/skills/ppvm-simulation/SKILL.md)：Pauli 传播、广义 tableau 与 Stim 格式采样 | 非对称丢失的存活反作用尚未实现；[使用与验证边界](docs/integrations/PPVM.md) |
| 误差缓解与量子纠错 | Mitiq、Stim / PyMatching、LDPC、Chromobius；[纠错能力](docs/CAPABILITIES.md#误差缓解与量子纠错) | 采样预算、统计误差及解码器的适用模型 |
| 检查 detector error model | [emlint](.agents/skills/emlint-dem-audit/SKILL.md)：结构诊断、反例及不完整检查状态 | 保留告警、跳过项和缺失上下文；不证明码距或解码正确性 |
| 动力学与实验模拟 | Trotter / qDrift、Dynamiqs、OQuPy、Bloqade、Pulser、PairInteraction；[模拟与硬件入口](docs/CAPABILITIES.md#哈密顿量模拟与开放系统) | 单位、截断、时间步长；模拟与真实设备操作分别说明 |
@@ -218,6 +219,8 @@ TNQS 使用 `tnqs-dynamics` 入口：先显式运行 `node scripts/setup-sdk.mjs
RcmpsCore 使用 `rcmps-field-theory` 入口：显式运行 `node scripts/setup-sdk.mjs rcmps-field-theory` 后编写 Julia 程序。传递 gap 不等于 Hamiltonian 能隙；试探态示例不证明相互作用基态或质量谱。
+PPVM 使用 `ppvm-simulation` 入口：显式运行 `node scripts/setup-sdk.mjs ppvm-simulation` 后编写 Python 程序，准备会构建固定版本 Rust 扩展。`LOST` 与比特分开，`reset_state` 不恢复丢失/泄漏；小规模对照不证明器件模型或性能优势。
+
SlowQuant 使用 `slowquant-response` 入口：先显式运行 `node scripts/setup-sdk.mjs slowquant-response`，再通过 SDK 工作台运行自定义程序。已验证小规模离线响应；Qiskit 分子谱学与硬件另行核验。
@@ -225,7 +228,7 @@ SlowQuant 使用 `slowquant-response` 入口：先显式运行 `node scripts/set
-当前源码分发 **189 个内置 Skill、91 个 MCP 服务连接、5 个原生量子 Tool**，并为 **117 个 SDK/源码环境**提供原生 API 使用路径。清单数量、配置启用、环境就绪与科学验收是不同状态；每项能力按需准备，平台、账户和许可限制见对应说明。
+当前源码分发 **190 个内置 Skill、91 个 MCP 服务连接、5 个原生量子 Tool**，并为 **118 个 SDK/源码环境**提供原生 API 使用路径。清单数量、配置启用、环境就绪与科学验收是不同状态；每项能力按需准备，平台、账户和许可限制见对应说明。
[完整 Skill 目录](docs/CAPABILITIES.md#内置-skills) · [MCP 服务及默认开关](docs/CAPABILITIES.md#mcp-服务目录) · [原生 Tool 与副作用](docs/CAPABILITIES.md#原生量子-tools) · [SDK API 与逐库验证](docs/integrations/FULL_SDK_ACCESS.md) · [相近方法怎么选](docs/integrations/CAPABILITY_SELECTION.md)
diff --git a/THIRD_PARTY_NOTICES.md b/THIRD_PARTY_NOTICES.md
index dbd6725e..7b13eb2e 100644
--- a/THIRD_PARTY_NOTICES.md
+++ b/THIRD_PARTY_NOTICES.md
@@ -221,3 +221,7 @@ Chromobius 1.1.1 为 Apache-2.0，固定上游提交 `efae0325e4a8fc13be981434d3
[physlib](https://github.com/leanprover-community/physlib)，均为 Apache-2.0。
插件只包含项目模板、依赖锁和工作流指南，不捆绑完整工具链或库；准备所得源码保留上游许可。
固定版本及间接依赖见 `.agents/skills/lean-physics/lean-toolchain` 和 `lake-manifest.json`。
+
+## PPVM 原生 SDK 工作流
+
+[QuEraComputing/ppvm](https://github.com/QuEraComputing/ppvm) v0.3.0 为 Apache-2.0，固定提交 `3cc883fd93b2475cb10c892a8a31adcc09a7579c`；[许可证原文](https://github.com/QuEraComputing/ppvm/blob/3cc883fd93b2475cb10c892a8a31adcc09a7579c/LICENSE)。本仓库仅分发原创指南、示例、验证与依赖锁，不捆绑上游源码或二进制。显式准备时构建 `ppvm-python`，间接 Python 依赖由 `uv.lock` 固定，Rust 工作区来源由完整提交固定并保留其 Cargo.lock 与许可。各依赖保留自身许可，不将 Apache-2.0 扩展为所有传递依赖的统一许可证。
diff --git a/docs/CAPABILITIES.md b/docs/CAPABILITIES.md
index b4646ded..5dbbe15b 100644
--- a/docs/CAPABILITIES.md
+++ b/docs/CAPABILITIES.md
@@ -150,7 +150,7 @@ OpenQuantum 为本地模拟、IBM Quantum、IonQ 和多家国内量子云保留
原生量子 Tools
-当前源码分发 **189 个内置 Skill、91 个 MCP 服务连接、5 个原生量子 Tool**。其中 66 个 Skill 来自 quantum-skills 的开源工作流适配，共用现有代码执行工具；其中 49 项提供可运行示例，覆盖 unitarylab_algorithms 的全部 39 个模块。Skill、Tool 和 MCP 连接分别统计。
+当前源码分发 **190 个内置 Skill、91 个 MCP 服务连接、5 个原生量子 Tool**。其中 66 个 Skill 来自 quantum-skills 的开源工作流适配，共用现有代码执行工具；其中 49 项提供可运行示例，覆盖 unitarylab_algorithms 的全部 39 个模块。Skill、Tool 和 MCP 连接分别统计。
当前配置共包含 **282 个可配置 Tool 名称**：258 个由 MCP 服务提供，18 个为 Harness 通用工具，6 个为平台原生工具（上面的 5 个量子动作及 1 个教学生成动作）。这是配置全集；`bash` / `pwsh` 按平台互斥，连接开关、环境和工具范围也会影响实际可调用集合。既有能力的逐项决定见[治理记录](architecture/EXTENSION_GOVERNANCE.md)，新增中性原子动力学见 [Bloqade Analog](integrations/BLOQADE_ANALOG.md)。
@@ -161,7 +161,7 @@ OpenQuantum 为本地模拟、IBM Quantum、IonQ 和多家国内量子云保留
既有条目与治理情况见[治理清单](architecture/EXTENSION_GOVERNANCE.md)；相近入口及大型可选服务的专业工具范围见[能力选择](integrations/CAPABILITY_SELECTION.md)。
-这 189 个 Skill 覆盖方法选择、计算实验、结果解释和平台诊断。其中 176 项可由 Agent 自动选择，13 个分类索引保留为用户手动导航；原名称和手动调用均可继续使用。点击名称即可查看完整的 `SKILL.md`；所需工具与连接分别配置。新增算法工作流的参数、安装与开源替换差异见[运行说明](../examples/quantum-algorithms/README.md)。
+这 190 个 Skill 覆盖方法选择、计算实验、结果解释和平台诊断。其中 177 项可由 Agent 自动选择，13 个分类索引保留为用户手动导航；原名称和手动调用均可继续使用。点击名称即可查看完整的 `SKILL.md`；所需工具与连接分别配置。新增算法工作流的参数、安装与开源替换差异见[运行说明](../examples/quantum-algorithms/README.md)。
下表按**研究方法与用途**介绍能力。各 Tool 提供的模型、参数和输入格式见[计算参数与运行方式](EXAMPLES.md#计算参数与运行方式)。
@@ -196,6 +196,7 @@ OpenQuantum 为本地模拟、IBM Quantum、IonQ 和多家国内量子云保留
| [`slowquant-response`](../.agents/skills/slowquant-response/SKILL.md) | 分子激发能、跃迁性质与量子线性响应 | 宿主代码 Tool；显式准备固定源码 SDK；保留响应近似与诊断 |
| [`tnqs-dynamics`](../.agents/skills/tnqs-dynamics/SKILL.md) | 非规则图张量网络、电路、有限平面 CTMRG 与采样 | 宿主代码 Tool；显式准备固定 Julia SDK；保留几何与收敛边界 |
| [`rcmps-field-theory`](../.agents/skills/rcmps-field-theory/SKILL.md) | 连续 RCMPS、标量场优化、正常序观测量与同真空激发 | 宿主代码 Tool；显式准备固定 Julia CPU SDK；区分传递 gap 与 Hamiltonian 能隙 |
+| [`ppvm-simulation`](../.agents/skills/ppvm-simulation/SKILL.md) | Pauli 传播、广义 tableau 与丢失/泄漏采样 | 宿主代码 Tool；显式准备 Python/Rust SDK；区分近似、LOST 与重置语义 |
| [`emlint-dem-audit`](../.agents/skills/emlint-dem-audit/SKILL.md) | DEM 结构诊断、反例与不完整检查状态 | 宿主代码 Tool；显式准备原生 SDK；不证明解码正确性 |
| [`tesseract-decoding`](../.agents/skills/tesseract-decoding/SKILL.md) | Stim DEM、syndrome、搜索式解码器与统计 | 宿主代码 Tool；显式准备原生 SDK |
| [`tqec-compilation`](../.agents/skills/tqec-compilation/SKILL.md) | BlockGraph、逻辑计算块、相关面与 Stim 线路生成 | 宿主代码 Tool；显式准备原生 SDK |
@@ -617,7 +618,7 @@ OpenQuantum 提供以下 5 个原生量子动作，用于基态求解、调校
## 可选上游 Skill
-[OriginQ 官方 `pyqpanda3` Skill](https://github.com/OriginQ/pyqpanda3-skill) 提供电路编程、算法模板、迁移与 QCloud 使用指导。它**不计入上面的 189 个内置 Skill，也不会在首次启动时自动安装**；运行 `npm run skill:qpanda:setup` 后，固定审阅版本才会进入项目 Skill 目录。安装这个 Skill 不会自动启用 `qpanda_runtime`，也不会赋予云任务权限。
+[OriginQ 官方 `pyqpanda3` Skill](https://github.com/OriginQ/pyqpanda3-skill) 提供电路编程、算法模板、迁移与 QCloud 使用指导。它**不计入上面的 190 个内置 Skill，也不会在首次启动时自动安装**；运行 `npm run skill:qpanda:setup` 后，固定审阅版本才会进入项目 Skill 目录。安装这个 Skill 不会自动启用 `qpanda_runtime`，也不会赋予云任务权限。
## 开源生态与致谢
diff --git a/docs/ecosystem/proposals/ppvm.md b/docs/ecosystem/proposals/ppvm.md
new file mode 100644
index 00000000..e39f20fc
--- /dev/null
+++ b/docs/ecosystem/proposals/ppvm.md
@@ -0,0 +1,38 @@
+# PPVM：丢失、泄漏与非 Clifford 电路模拟
+
+用户于 2026-11-10 明确要求接入。本项是用户指定实施，不受自动发现队列的三项上限限制；沿用现有插件架构、隔离验证和 PR 交付边界。
+
+## 价值与替代
+
+OpenQuantum 面向量子科研、应用和教学。PPVM 的增量是把 Pauli 传播、广义 tableau、测量反馈和原子丢失/泄漏语义接入同一可编程 SDK，使 Agent 能表达中性原子噪声研究任务并保留可复核结果。现有 Clifft、TSim 和 Monoprop 已覆盖部分非 Clifford 采样及 Pauli 传播；Rust 实现或另一个采样器本身不是接入价值。
+
+优先验证具体物理模型和错误解释，不预设性能优势；大型数字孪生、硬件真实性、截断收敛和千比特规模仍需逐任务验证。示例规模只界定开发证据，不限制上游公开 API。
+
+## 固定来源与接入设计
+
+- 官方源码：https://github.com/QuEraComputing/ppvm
+- Release：v0.3.0，完整提交 `3cc883fd93b2475cb10c892a8a31adcc09a7579c`。
+- 论文：https://arxiv.org/abs/2610.18225
+- Apache-2.0；保留上游版权与许可，不复制数值实现。
+- Python 发行名 `bloqade-ppvm`，导入名 `ppvm`。2026-11-10 核查 PyPI 仅到 0.2.0，因此固定 v0.3.0 的源码构建，明确 Rust/Cargo 构建要求和间接依赖锁。版本事实以项目声明与锁文件为准。
+- 使用 L0 `ppvm-simulation` Skill + 现有原生 SDK 工作台。最小 Interface 是既有的 SDK `inspect`、显式 `setup` 和宿主文件/代码 Tool；不新增转发 Tool、MCP Server、宿主适配器或 Runtime。DSH/Codex 复用同一份目录与指南。
+- 共享清单仅添加 PPVM 条目，README 仅补充能力入口与边界；保留 #79/#77 的未合并内容，由后续合并顺序协调，不修改它们的分支。
+
+## 验收范围
+
+1. 只读发现返回完整公开 SDK 导航、固定依赖及独立环境的显式准备命令；发现不安装，执行不隐式安装。
+2. 通过现有准备入口从完整 SHA 与锁安装，验证用户自定义程序和结果工件；不将小示例包装成唯一功能。
+3. 真实数值对照覆盖：Heisenberg 门/噪声逆序、非 Clifford 小电路、丢失标记、相关丢失概率、泄漏与 `reset`/`reset_state` 区别；失败路径覆盖不支持或非法输入。解析结果或独立稠密矩阵作参考，不用上游相同实现充当答案。
+4. 现有 SDK、Skill 发现、Codex 投影/打包、清单一致性及 README 链接检查通过。新增执行行为按既有 SDK Interface 先复现失败再接通；数值检验属于开发回归，不新增科研验收 Profile 或阈值。
+5. 根 README 说明能力、入口、源码构建成本与科学边界。真实运行证据与自审结论分别保存；未完成项保留 Draft。CI 不替代科学验收或真实宿主 UI 验证。
+
+## 必须保留的科学语义
+
+- `PauliSum` 反向传播整个门/噪声序列，旋转角符号不因此反转；truncation 按任务记录并验证。
+- `reset_state` 保留丢失/泄漏状态，v0.3.0 的 `reset` 可恢复这些状态再置零。后者包含补回/恢复假设，不等同于任意硬件复位。
+- `MeasurementResult.LOST` 不是 0 或 1。泄漏为上游离散有效模型，不宣称完整多能级微观动力学。
+- 相关丢失参数的第二项是每个指定量子比特单独丢失的概率，恰好一个丢失的总概率为其两倍；已丢失一个时第三项另有条件语义。
+- Stim 格式支持范围由该版本及所选 backend 决定，不承诺全部 Stim 语法或自动生成 detector error model。
+- 所有证据保留 `scientificValidation=not_evaluated`；本次不添加 Validator/Acceptance Builder 集成，不声称硬件校准或量子优势。
+
+补充固定版源码边界：Python tableau 支持 1–2048 qubit，实际可计算规模取决于非 Clifford 系数增长；非对称丢失不含存活分支反作用。本 PR 的开发检查须把这一近似明确记录为限制，不能当作完整物理通道通过。
diff --git a/docs/integrations/CAPABILITY_SELECTION.md b/docs/integrations/CAPABILITY_SELECTION.md
index e6584cbf..9cb7f7f1 100644
--- a/docs/integrations/CAPABILITY_SELECTION.md
+++ b/docs/integrations/CAPABILITY_SELECTION.md
@@ -59,6 +59,11 @@ VQD 两个实现的输入、优化过程与结果合同不同，只合并选择
## 厂商 SDK 与既有入口
+近 Clifford 电路优先按模型选择：普通 Clifford 采样继续用 Stim；现有 Tsim/Clifft 已覆盖的采样先复用其入口。
+需要明确区分丢失、泄漏、复位，或使用广义 tableau 时，选择 [PPVM 原生 SDK](PPVM.md)；少数观测量也可用其 Pauli 反向传播。
+通用 Pauli/Majorana 传播可比较 monoprop。PPVM 的 Rust 实现不预设性能优势，非对称丢失尚缺存活反作用；
+不同实现作为对照前必须统一门/噪声顺序、位序、截断与测量语义。
+
- 用户给出结构化线路并需要 Pauli 期望及梯度时，在 PennyLane、DeepQuantum、TensorCircuit、
MindQuantum 中按指定 SDK 选择一个入口；需要修改算法代码或优化循环时继续使用既有算法示例。
- 电路优化选择 TKET 或既有 PyZX / Compact，比较前统一门集、线序与全局相位。
diff --git a/docs/integrations/FULL_SDK_ACCESS.md b/docs/integrations/FULL_SDK_ACCESS.md
index cb0985a8..a707aeff 100644
--- a/docs/integrations/FULL_SDK_ACCESS.md
+++ b/docs/integrations/FULL_SDK_ACCESS.md
@@ -6,7 +6,7 @@
## 全量梳理结果
-[SDK 清单](SDK_INVENTORY.md)当前覆盖 117 个环境入口：105 个 Python（含算法共享环境）、9 个 Julia、2 个原生源码或 ABI 入口、1 个 Lean 项目。2026-10-14 的[生态扩展](SDK_ECOSYSTEM_2026-10-14.md)增加 26 个入口；此前 85 个环境的日期化工程证据保留。它们不是 117 个不同的上游库；例如共享环境同时含 Qiskit、PennyLane、quimb 和 PySCF，同一库也可能因兼容性保留多个版本。
+[SDK 清单](SDK_INVENTORY.md)当前覆盖 118 个环境入口：106 个 Python（含算法共享环境）、9 个 Julia、2 个原生源码或 ABI 入口、1 个 Lean 项目。2026-10-14 的[生态扩展](SDK_ECOSYSTEM_2026-10-14.md)增加 26 个入口；此前 85 个环境的日期化工程证据保留。它们不是 118 个不同的上游库；例如共享环境同时含 Qiskit、PennyLane、quimb 和 PySCF，同一库也可能因兼容性保留多个版本。
每个条目记录原生模块、任务对象、直接依赖、固定依赖锁、原有便捷 Tool、启用条件和已知限制。其他能力单独列出：6 项外部 MCP、8 项原生实现或宿主工作流、66 项方法/知识参考。外部 MCP 连接和 OpenQuantum 自有模拟器不冒充供应商完整 SDK。
@@ -22,7 +22,7 @@ flowchart LR
F --> E
```
-源码和 Desktop 使用仓库内的原生 Skill。Codex 的 SDK workbench 提供全目录导航，已启用的领域 Skill 投影保留同样的原生代码路径；当前源码候选随包携带 117 个环境的目录、依赖锁、显式 setup、完整算法代码和工件辅助脚本。原有未启用连接与 Skill 的状态保持不变。缓存 Skill 通过插件自己的 `mcp.json` 定位运行时，适配解压包与插件/运行时分开安装；不依赖研究项目的当前目录。
+源码和 Desktop 使用仓库内的原生 Skill。Codex 的 SDK workbench 提供全目录导航，已启用的领域 Skill 投影保留同样的原生代码路径；当前源码候选随包携带 118 个环境的目录、依赖锁、显式 setup、完整算法代码和工件辅助脚本。原有未启用连接与 Skill 的状态保持不变。缓存 Skill 通过插件自己的 `mcp.json` 定位运行时，适配解压包与插件/运行时分开安装；不依赖研究项目的当前目录。
执行、权限、超时、取消与进程管理继续由宿主负责。`sdk-access.mjs` 只读取目录和准备状态，不安装依赖、不 import 第三方包、不执行用户程序；没有新增通用任意 Python 执行 MCP 或另一套 Runtime。
@@ -144,3 +144,7 @@ node scripts/sdk-engineering-evidence.mjs .openquantum/sdk-checks/remaining \
## 连续相对论标量场
`rcmps-field-theory` 使用固定 RcmpsCore 0.2.1 / Julia 1.12.7 CPU SDK，供用户编写连续 RCMPS 优化、观测量与同真空激发程序。传递 gap 与 Hamiltonian 能隙分别报告；[模型约定、使用与验证边界](RCMPS.md)。
+
+## PPVM：Pauli 传播与丢失/泄漏
+
+`ppvm-simulation` 使用固定 PPVM v0.3.0 源码与 Python 3.12，复用已有显式准备和完整原生 SDK 路径。可编写观测量传播、广义 tableau 和 Stim 格式采样程序；非对称丢失尚不包含存活反作用。方法选择、使用与逐项验证范围见 [PPVM](PPVM.md)。
diff --git a/docs/integrations/PPVM.md b/docs/integrations/PPVM.md
new file mode 100644
index 00000000..15da2892
--- /dev/null
+++ b/docs/integrations/PPVM.md
@@ -0,0 +1,45 @@
+# PPVM 原生 SDK
+
+PPVM 补充近 Clifford 观测量、广义稳定子 tableau，以及丢失/泄漏电路建模。它通过既有 SDK 工作台和 `ppvm-simulation` Skill 使用完整原生 Python API；没有新增专用 Tool、MCP Server 或执行循环。DSH 和 Codex 共用这一份程序与依赖声明。
+
+## 版本与准备
+
+上游：[QuEraComputing/ppvm](https://github.com/QuEraComputing/ppvm)，Apache-2.0。项目仍标记 alpha；后续升级先复核公开 API、噪声与 reset 语义，不自动追随 main。
+本次固定 [v0.3.0](https://github.com/QuEraComputing/ppvm/releases/tag/v0.3.0) 对应完整提交 `3cc883fd93b2475cb10c892a8a31adcc09a7579c`。发行名称 `bloqade-ppvm`，导入名 `ppvm`；版本权威是 [pyproject.toml](../../.agents/skills/ppvm-simulation/pyproject.toml) 和 [uv.lock](../../.agents/skills/ppvm-simulation/uv.lock)。本次核对时 PyPI 只有 0.2.0，因此固定 Git 源码的 Python 子项目，不用未发布 main。
+
+```sh
+node scripts/sdk-access.mjs inspect ppvm-simulation
+node scripts/setup-sdk.mjs ppvm-simulation
+node scripts/sdk-access.mjs inspect ppvm-simulation
+```
+
+发现只读，准备显式下载并编译，执行不安装。Python 固定 3.12；源码构建还需要支持 edition 2024 的 Rust 工具链、编译器和足够磁盘空间。沿用现有环境目录和缓存策略，不安装到用户全局 Python。然后使用 inspect 返回的解释器，在独立任务目录运行[可编辑示例](../../.agents/skills/ppvm-simulation/references/native-example.py)或用户程序。示例独占创建 `result.json`，避免覆盖旧结果；参数与两个 qubit 不是 API 限制。
+
+## 如何选择
+
+| 用户任务 | PPVM 路径 | 对照与限制 |
+| --- | --- | --- |
+| 带噪电路的少数 Pauli 观测量 | `PauliSum`、`LossyPauliSum` | 与小规模密度矩阵比较；整条门/噪声链倒序，角度不变；审查截断误差 |
+| 非 Clifford 电路与测量 | `GeneralizedTableau` | 按物理时间正序；Python 绑定 1–2048 qubit，非 Clifford 系数增长决定实际成本 |
+| 丢失、泄漏与重置语义 | tableau 的 loss/leakage/reset API | `reset_state` 保留丢失/泄漏，`reset` 恢复计算子空间；模型需要实验依据 |
+| Stim 格式及 PPVM 扩展采样 | `StimProgram`、`sample_stim` | 先核实指令支持；保留 ZERO/ONE/LOST 原始记录，不直接把 LOST 转成 bool |
+
+普通 Clifford 采样仍可优先 Stim；已有 Tsim/Clifft 支持的噪声与采样任务先比较。monoprop 提供另一种算符传播路径；方法相近不是价值证据，PPVM 的增量主要是可明确检查的丢失/泄漏及广义 tableau 语义。Rust 实现本身不证明提速，也不替代现有库。
+
+## 必须保留的科学边界
+
+- `correlated_loss_channel(a,b,[p0,p1,p2])` 中 `p1` 是失去指定一方的概率，恰好失去一方为 `2*p1`；约束为 `p0,p1>=0`、`p0+2*p1<=1`、`0<=p2<=1`。
+- v0.3.0 的非对称丢失会按态给出丢失概率，但**不作用存活分支反作用**。这是一种轨迹近似，不是完整非对称量子通道。见固定版[实现说明](https://github.com/QuEraComputing/ppvm/blob/3cc883fd93b2475cb10c892a8a31adcc09a7579c/ppvm-python/src/ppvm/generalized_tableau.py)。
+- 泄漏是上游模型的有效标记及操作语义，不代表多能级器件物理已校准；不把丢失、泄漏、Pauli 噪声混同。
+- 保存种子、线程数、截断参数和规模；相同种子的复现不代表不同轨迹独立。复制 tableau 可能复制随机状态，应使用明确 seed 的 `fork`。
+- 完整原生 SDK 中的 Bloqade 编译、Lindbladian、对称性和其他路径可以按需探索；本次回归没有逐项认证它们。
+
+## 验证入口
+
+`tests/ppvm-sdk.test.mjs` 检查只读发现、固定源码与显式准备合同。准备后运行既有 `tests/sdk-ecosystem-live.test.mjs` 的 PPVM 项，保存用户程序、版本、锁摘要及输出。`tests/fixtures/ppvm-validation.py` 使用独立稠密门矩阵/态矢、解析预期与离散事件检查旋转/噪声顺序、非 Clifford、丢失、泄漏、重置、采样与失败路径。
+
+数值回归在 GitHub macOS 隔离环境执行，计算阶段禁止网络；[CI 工作流](../../.github/workflows/ppvm-sdk.yml)保存原始结果。开发容差和统计区间不注册为科研 Acceptance Profile；`scientificValidation=not_evaluated`。没有真实器件、性能优势、大规模收敛或已安装宿主界面验收声明。
+
+2026-11-10 的[实际运行](https://github.com/xi-zhao/OpenQuantum/actions/runs/42731058813)通过 46 项数值、语义和失败路径检查。两比特非 Clifford 电路的 tableau 与 Heisenberg 结果均符合独立稠密态矢参考（开发容差 `1e-10`）；原生示例的带噪期望值为 `0.8037842898055502`，等于解析值。2048 次采样的相关单方丢失频率为 `0.572265625`（预期 `0.6`），Bell 测量为 1 的频率为 `0.5029296875`（预期 `0.5`），均落在每个均值的 Hoeffding 界 `±0.059516` 内（`δ=10⁻⁶`）。
+
+[版本化验证记录](evidence/ppvm-2026-11-10.json)包含源码、锁文件、运行提交和输出摘要；[原始逐项结果](evidence/ppvm-2026-11-10/ppvm-validation.json)保留非对称丢失近似的反例。测试平台为 macOS arm64、Python 3.12.10、Rust 1.99.1；不外推为 Linux/Windows 数值验证或全部上游 API 认证。
diff --git a/docs/integrations/SDK_INVENTORY.md b/docs/integrations/SDK_INVENTORY.md
index d319a10d..7b170b53 100644
--- a/docs/integrations/SDK_INVENTORY.md
+++ b/docs/integrations/SDK_INVENTORY.md
@@ -2,7 +2,7 @@
由 `node scripts/audit-sdk-integration.mjs` 从 capability policy、SDK 导航、项目 manifest 和依赖锁生成；用 `--check` 检查是否过期。
-本表覆盖 117 个 SDK/源码环境入口：105 个 Python（包含算法共享环境）、9 个 Julia、2 个原生源码或 ABI 入口、1 个 Lean 项目。原生 QDMI 另有 Python 桥接依赖项目。一个入口可包含多个库，同一个库也可能有多个隔离版本，不能把入口数量当成独立 SDK 数量。所有锁摘要与间接依赖版本可通过 `node scripts/sdk-access.mjs inventory` 读出。
+本表覆盖 118 个 SDK/源码环境入口：106 个 Python（包含算法共享环境）、9 个 Julia、2 个原生源码或 ABI 入口、1 个 Lean 项目。原生 QDMI 另有 Python 桥接依赖项目。一个入口可包含多个库，同一个库也可能有多个隔离版本，不能把入口数量当成独立 SDK 数量。所有锁摘要与间接依赖版本可通过 `node scripts/sdk-access.mjs inventory` 读出。
**接入状态：原生路径与指南已提供；逐 API、可选依赖、平台与外部服务验证不由这张静态清单推断。** 环境是否准备需 `inspect`，实际执行证据见[完整接入记录](FULL_SDK_ACCESS.md)。
@@ -125,6 +125,7 @@
| `tyxonq-workbench` | TyxonQ | python | tyxonq==1.3.0 | 电路、门、测量与上游后端接口 | 按固定版本、已安装可选组件及目标平台核实 |
| `vqnet-learning` | VQNet | python | pyvqnet==2.18.1, numpy==1.26.4 | tensor、量子/经典层、模型、数据与优化器 | 按固定版本、已安装可选组件及目标平台核实 |
| `yao-circuits` | Yao.jl | julia | JSON3, Yao | 量子寄存器、block、电路、算符、参数与梯度 | 保留 block 作用线、位序、参数和精度。测量、态矢量与梯度的语义分别核对；跨框架导出须保留映射。 |
+| `ppvm-simulation` | PPVM | python | bloqade-ppvm @ git+https://github.com/QuEraComputing/ppvm.git@3cc883fd93b2475cb10c892a8a31adcc09a7579c#subdirectory=ppvm-python | Pauli 传播、广义 tableau、近 Clifford 观测量与含丢失/泄漏的自定义电路采样 | 显式准备固定源码的 Python 3.12 / Rust 环境；完整原生 API 可用，成本取决于非 Clifford 分支与截断。 Heisenberg 计算倒序处理整条门和噪声链；LOST 与比特值分开；reset_state 不恢复丢失/泄漏。 非对称丢失的存活分支反作用尚未实现；开发数值对照不构成器件模型或科学验收。 |
## 外部 MCP（6 项）
diff --git a/docs/integrations/evidence/ppvm-2026-11-10.json b/docs/integrations/evidence/ppvm-2026-11-10.json
new file mode 100644
index 00000000..9cd140d2
--- /dev/null
+++ b/docs/integrations/evidence/ppvm-2026-11-10.json
@@ -0,0 +1,64 @@
+{
+ "date": "2026-11-10",
+ "upstream": {
+ "url": "https://github.com/QuEraComputing/ppvm",
+ "version": "0.3.0",
+ "revision": "3cc883fd93b2475cb10c892a8a31adcc09a7579c",
+ "license": "Apache-2.0"
+ },
+ "execution": {
+ "url": "https://github.com/xi-zhao/OpenQuantum/actions/runs/42731058813",
+ "head": "aa118e8927ec418b627ffca53ccba45bb881422d",
+ "artifactId": 13725676067,
+ "artifactSha256": "91432ddc8e0805a04bf0450e3175ab9af5dbf0f5f7b27c4213e4bfae2c736088",
+ "platform": "GitHub macos-26-arm64",
+ "python": "3.12.10",
+ "rust": "1.99.1",
+ "networkIsolation": "macOS sandbox-exec deny network*"
+ },
+ "scope": "Fixed complete Python SDK with editable offline program; 46 scoped numerical, semantic and failure assertions against independent dense gates/statevectors, analytic noise expectations and discrete events. Not scientific acceptance.",
+ "numericalEvidence": {
+ "ppvm-validation.json": "64bf80adf4cdf47dfe7dd0fa05744a4ca34dad024c5d3a9c4a03df88b8c43d89",
+ "numerical.log": "179f4ab2809baf80306d907e0b69074f797fb5f8c26207b393d13f82371e54cf"
+ },
+ "validationSources": [
+ {
+ "path": "tests/fixtures/ppvm-validation.py",
+ "sha256": "564621248d10407e1d09cffa514193e5475a31edd9aa25673b98397ae7ce2f0f"
+ },
+ {
+ "path": "tests/sdk-ecosystem-live.test.mjs",
+ "sha256": "64fd1fbebc4738a9ca3828b71026a13bac4c801021501ad0e5b9d5d02929e873"
+ }
+ ],
+ "limitations": [
+ "Small CPU instances only; no scaling, speed or device calibration claim.",
+ "Asymmetric-loss surviving branch is intentionally recorded as an upstream approximation.",
+ "No Bloqade compilation, Lindbladian, Rust-only >2048-qubit or full Stim instruction coverage.",
+ "Sampling uses 2048 shots with a two-sided Hoeffding bound of delta=1e-6 per mean; this is a development regression, not an Acceptance Profile.",
+ "No Linux/Windows numerical execution, real device, installed host UI session or full public-API certification.",
+ "No Validator or Acceptance Profile added."
+ ],
+ "scientificValidation": "not_evaluated",
+ "receipt": {
+ "id": "ppvm-simulation",
+ "language": "python",
+ "status": "passed_scoped_engineering",
+ "scientificValidation": "not_evaluated",
+ "sourcePath": ".agents/skills/ppvm-simulation/references/native-example.py",
+ "sourceSha256": "7aa9a5c1f953402afc70603b85e6b23658f45dc087e56d783ebe873d4ff38b71",
+ "dependencyLockPath": ".agents/skills/ppvm-simulation/uv.lock",
+ "dependencyLockSha256": "e6a2f1d15b8af569f4bdb32662e9b52308cb5b95548b5c74741cf1445957797e",
+ "durableEvidenceDirectory": "docs/integrations/evidence/ppvm-2026-11-10",
+ "verificationSha256": "05a3bb394b8778770bd1af9041a8bc8f1ce37656308e98532ff33fc92fbe774f",
+ "artifacts": {
+ "attempt.json": "49bcee268078e161189c2e5dfedd466d570ef593bdbd965218f5cb8f547e4f3a",
+ "program.py": "7aa9a5c1f953402afc70603b85e6b23658f45dc087e56d783ebe873d4ff38b71",
+ "result.json": "ab6623746404bebdb7cea6fb26941fcf5dd00d1e622a8453bf5c3832c6dae863",
+ "runner.py": "4d8e55212145f22f02d8198f4582194f9aa937013038af3c543a95c6fa77e4b9",
+ "stderr.log": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+ "stdout.log": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+ "versions.json": "406acec55cea09248dce28b5322a7954201b482a3774da22958d702488eb7504"
+ }
+ }
+}
diff --git a/docs/integrations/evidence/ppvm-2026-11-10/attempt.json b/docs/integrations/evidence/ppvm-2026-11-10/attempt.json
new file mode 100644
index 00000000..b5c7cd6f
--- /dev/null
+++ b/docs/integrations/evidence/ppvm-2026-11-10/attempt.json
@@ -0,0 +1,7 @@
+{
+ "id": "ppvm-simulation",
+ "startedAt": "2026-11-10T00:59:21.912Z",
+ "dependencyLockSha256": "e6a2f1d15b8af569f4bdb32662e9b52308cb5b95548b5c74741cf1445957797e",
+ "sourceSha256": "7aa9a5c1f953402afc70603b85e6b23658f45dc087e56d783ebe873d4ff38b71",
+ "scientificValidation": "not_evaluated"
+}
\ No newline at end of file
diff --git a/docs/integrations/evidence/ppvm-2026-11-10/numerical.log b/docs/integrations/evidence/ppvm-2026-11-10/numerical.log
new file mode 100644
index 00000000..9ad7bc11
--- /dev/null
+++ b/docs/integrations/evidence/ppvm-2026-11-10/numerical.log
@@ -0,0 +1 @@
+46 scoped numerical, semantic and failure checks passed; scientificValidation=not_evaluated
diff --git a/docs/integrations/evidence/ppvm-2026-11-10/ppvm-validation.json b/docs/integrations/evidence/ppvm-2026-11-10/ppvm-validation.json
new file mode 100644
index 00000000..128f87c8
--- /dev/null
+++ b/docs/integrations/evidence/ppvm-2026-11-10/ppvm-validation.json
@@ -0,0 +1,269 @@
+{
+ "upstreamVersion": "0.3.0",
+ "status": "passed_scoped_engineering",
+ "checks": [
+ {
+ "name": "tableau-dense-0.19-XI",
+ "actual": -6.938893903907228e-18,
+ "reference": 0.0,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "heisenberg-dense-0.19-XI",
+ "actual": 0.0,
+ "reference": 0.0,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "tableau-dense-0.19-IZ",
+ "actual": -8.283304597789254e-17,
+ "reference": 5.551115123125783e-17,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "heisenberg-dense-0.19-IZ",
+ "actual": 0.0,
+ "reference": 5.551115123125783e-17,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "tableau-dense-0.19-XX",
+ "actual": 0.7071067811865475,
+ "reference": 0.7071067811865476,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "heisenberg-dense-0.19-XX",
+ "actual": 0.7071067811865476,
+ "reference": 0.7071067811865476,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "tableau-dense-0.19-XY",
+ "actual": 0.6943818538053307,
+ "reference": 0.6943818538053305,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "heisenberg-dense-0.19-XY",
+ "actual": 0.6943818538053306,
+ "reference": 0.6943818538053305,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "tableau-dense-0.19-ZY",
+ "actual": -0.18885889497650057,
+ "reference": -0.18885889497650055,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "heisenberg-dense-0.19-ZY",
+ "actual": -0.18885889497650057,
+ "reference": -0.18885889497650055,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "tableau-dense--0.61-XI",
+ "actual": -2.4286128663675293e-17,
+ "reference": 0.0,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "heisenberg-dense--0.61-XI",
+ "actual": 0.0,
+ "reference": 0.0,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "tableau-dense--0.61-IZ",
+ "actual": 0.0,
+ "reference": -2.7755575615628914e-17,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "heisenberg-dense--0.61-IZ",
+ "actual": 0.0,
+ "reference": -2.7755575615628914e-17,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "tableau-dense--0.61-XX",
+ "actual": 0.7071067811865476,
+ "reference": 0.7071067811865475,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "heisenberg-dense--0.61-XX",
+ "actual": 0.7071067811865476,
+ "reference": 0.7071067811865475,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "tableau-dense--0.61-XY",
+ "actual": 0.5795786716046509,
+ "reference": 0.5795786716046508,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "heisenberg-dense--0.61-XY",
+ "actual": 0.5795786716046509,
+ "reference": 0.5795786716046508,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "tableau-dense--0.61-ZY",
+ "actual": 0.5728674601004812,
+ "reference": 0.5728674601004812,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "heisenberg-dense--0.61-ZY",
+ "actual": 0.5728674601004813,
+ "reference": 0.5728674601004812,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "tableau-dense-1.17-XI",
+ "actual": 6.938893903907228e-18,
+ "reference": 5.551115123125783e-17,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "heisenberg-dense-1.17-XI",
+ "actual": 0.0,
+ "reference": 5.551115123125783e-17,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "tableau-dense-1.17-IZ",
+ "actual": 0.0,
+ "reference": 8.326672684688674e-17,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "heisenberg-dense-1.17-IZ",
+ "actual": 0.0,
+ "reference": 8.326672684688674e-17,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "tableau-dense-1.17-XX",
+ "actual": 0.7071067811865474,
+ "reference": 0.7071067811865475,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "heisenberg-dense-1.17-XX",
+ "actual": 0.7071067811865476,
+ "reference": 0.7071067811865475,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "tableau-dense-1.17-XY",
+ "actual": 0.2758789016657027,
+ "reference": 0.27587890166570267,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "heisenberg-dense-1.17-XY",
+ "actual": 0.2758789016657027,
+ "reference": 0.27587890166570267,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "tableau-dense-1.17-ZY",
+ "actual": -0.9207505977361357,
+ "reference": -0.9207505977361354,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "heisenberg-dense-1.17-ZY",
+ "actual": -0.9207505977361357,
+ "reference": -0.9207505977361354,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "rx-then-damping-analytic",
+ "actual": 0.7334845671472799,
+ "reference": 0.7334845671472799,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "wrong-noise-order-negative-control",
+ "passed": true
+ },
+ {
+ "name": "state-reset-preserves-lost",
+ "passed": true
+ },
+ {
+ "name": "full-reset-restores-lost",
+ "passed": true
+ },
+ {
+ "name": "state-reset-preserves-leaked-pinned-one",
+ "passed": true
+ },
+ {
+ "name": "full-reset-restores-leaked",
+ "passed": true
+ },
+ {
+ "name": "correlated-loss-named-probability-analytic",
+ "actual": 0.4,
+ "reference": 0.4,
+ "tolerance": 1e-10
+ },
+ {
+ "name": "correlated-loss-trajectory-frequency",
+ "actual": 0.572265625,
+ "reference": 0.6,
+ "tolerance": 0.059515987500791664
+ },
+ {
+ "name": "stim-bell-record-shape-and-correlation",
+ "passed": true
+ },
+ {
+ "name": "stim-bell-one-frequency",
+ "actual": 0.5029296875,
+ "reference": 0.5,
+ "tolerance": 0.059515987500791664
+ },
+ {
+ "name": "stim-fixed-seed-replay",
+ "passed": true
+ },
+ {
+ "name": "stim-loss-is-not-bool",
+ "passed": true
+ },
+ {
+ "name": "asymmetric-loss-survivor-approximation-detected",
+ "passed": true
+ },
+ {
+ "name": "zero-qubit-tableau",
+ "rejected": "ValueError"
+ },
+ {
+ "name": "python-tableau-binding-limit",
+ "rejected": "ValueError"
+ },
+ {
+ "name": "incomplete-cnot-pair",
+ "rejected": "ValueError"
+ }
+ ],
+ "sampling": {
+ "shots": 2048,
+ "hoeffdingDeltaPerMean": 1e-06,
+ "tolerance": 0.059515987500791664
+ },
+ "limitations": [
+ "Small CPU instances only; no scaling, speed or device calibration claim.",
+ "Asymmetric-loss surviving branch is intentionally recorded as an upstream approximation.",
+ "No Bloqade compilation, Lindbladian, Rust-only >2048-qubit or full Stim instruction coverage."
+ ],
+ "scientificValidation": "not_evaluated"
+}
diff --git a/docs/integrations/evidence/ppvm-2026-11-10/program.py b/docs/integrations/evidence/ppvm-2026-11-10/program.py
new file mode 100644
index 00000000..020c029e
--- /dev/null
+++ b/docs/integrations/evidence/ppvm-2026-11-10/program.py
@@ -0,0 +1,43 @@
+"""Editable public PPVM program; run in a new task directory after explicit setup."""
+import importlib.metadata
+import json
+import math
+from pathlib import Path
+
+from ppvm import GeneralizedTableau, MeasurementResult, PauliSum
+
+theta, gamma, seed = 0.73, 0.23, 20261110
+# Physical order: Rx(theta), then amplitude damping. Heisenberg order reverses both.
+observable = PauliSum.new(1, ["Z"])
+observable.amplitude_damping(0, gamma)
+observable.rx(0, theta)
+expectation = observable.overlap_with_zero()
+reference = gamma + (1 - gamma) * math.cos(theta)
+assert abs(expectation - reference) < 1e-10
+
+state = GeneralizedTableau(2, seed=seed)
+state.h(0)
+state.cnot(0, 1)
+bell_zz = state.expectation("ZZ")
+assert abs(bell_zz - 1) < 1e-10
+state.loss_channel(1, 1.0)
+state.reset_state(1)
+lost = state.measure(1)
+assert lost == MeasurementResult.LOST
+state.reset(1)
+restored = state.measure(1)
+assert restored == MeasurementResult.ZERO
+
+result = {
+ "upstreamVersion": importlib.metadata.version("bloqade-ppvm"),
+ "parameters": {"theta": theta, "amplitudeDamping": gamma, "seed": seed},
+ "zAfterRxAndDamping": expectation,
+ "analyticReference": reference,
+ "bellZZ": bell_zz,
+ "afterStateOnlyReset": lost.name,
+ "afterFullReset": restored.name,
+ "scope": "small public-API checks; not a hardware or performance benchmark",
+ "scientificValidation": "not_evaluated",
+}
+with Path("result.json").open("x", encoding="utf-8") as output:
+ output.write(json.dumps(result, indent=2) + "\n")
diff --git a/docs/integrations/evidence/ppvm-2026-11-10/result.json b/docs/integrations/evidence/ppvm-2026-11-10/result.json
new file mode 100644
index 00000000..3f978de3
--- /dev/null
+++ b/docs/integrations/evidence/ppvm-2026-11-10/result.json
@@ -0,0 +1,15 @@
+{
+ "upstreamVersion": "0.3.0",
+ "parameters": {
+ "theta": 0.73,
+ "amplitudeDamping": 0.23,
+ "seed": 20261110
+ },
+ "zAfterRxAndDamping": 0.8037842898055502,
+ "analyticReference": 0.8037842898055502,
+ "bellZZ": 1.0,
+ "afterStateOnlyReset": "LOST",
+ "afterFullReset": "ZERO",
+ "scope": "small public-API checks; not a hardware or performance benchmark",
+ "scientificValidation": "not_evaluated"
+}
diff --git a/docs/integrations/evidence/ppvm-2026-11-10/runner.py b/docs/integrations/evidence/ppvm-2026-11-10/runner.py
new file mode 100644
index 00000000..c8c89fa9
--- /dev/null
+++ b/docs/integrations/evidence/ppvm-2026-11-10/runner.py
@@ -0,0 +1,13 @@
+import importlib, importlib.metadata, json, pathlib, runpy, sys
+def offline(event, args):
+ if event in ('socket.connect', 'socket.getaddrinfo'):
+ raise RuntimeError('Unexpected network access in offline SDK verification')
+sys.addaudithook(offline)
+if __name__ == '__main__':
+ program, modules = sys.argv[1], json.loads(sys.argv[2])
+ sys.argv = [program]
+ runpy.run_path(program, run_name='__main__')
+ for name in modules:
+ importlib.import_module(name)
+ versions = {d.metadata['Name']: d.version for d in importlib.metadata.distributions() if d.metadata['Name']}
+ pathlib.Path('versions.json').write_text(json.dumps(versions, sort_keys=True))
diff --git a/docs/integrations/evidence/ppvm-2026-11-10/stderr.log b/docs/integrations/evidence/ppvm-2026-11-10/stderr.log
new file mode 100644
index 00000000..e69de29b
diff --git a/docs/integrations/evidence/ppvm-2026-11-10/stdout.log b/docs/integrations/evidence/ppvm-2026-11-10/stdout.log
new file mode 100644
index 00000000..e69de29b
diff --git a/docs/integrations/evidence/ppvm-2026-11-10/verification.json b/docs/integrations/evidence/ppvm-2026-11-10/verification.json
new file mode 100644
index 00000000..700bc588
--- /dev/null
+++ b/docs/integrations/evidence/ppvm-2026-11-10/verification.json
@@ -0,0 +1,17 @@
+{
+ "id": "ppvm-simulation",
+ "dependencyLockSha256": "e6a2f1d15b8af569f4bdb32662e9b52308cb5b95548b5c74741cf1445957797e",
+ "sourceSha256": "7aa9a5c1f953402afc70603b85e6b23658f45dc087e56d783ebe873d4ff38b71",
+ "networkIsolation": "macOS sandbox-exec deny network*",
+ "scientificValidation": "not_evaluated",
+ "status": "passed",
+ "files": {
+ "attempt.json": "49bcee268078e161189c2e5dfedd466d570ef593bdbd965218f5cb8f547e4f3a",
+ "program.py": "7aa9a5c1f953402afc70603b85e6b23658f45dc087e56d783ebe873d4ff38b71",
+ "result.json": "ab6623746404bebdb7cea6fb26941fcf5dd00d1e622a8453bf5c3832c6dae863",
+ "runner.py": "4d8e55212145f22f02d8198f4582194f9aa937013038af3c543a95c6fa77e4b9",
+ "stderr.log": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+ "stdout.log": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+ "versions.json": "406acec55cea09248dce28b5322a7954201b482a3774da22958d702488eb7504"
+ }
+}
\ No newline at end of file
diff --git a/docs/integrations/evidence/ppvm-2026-11-10/versions.json b/docs/integrations/evidence/ppvm-2026-11-10/versions.json
new file mode 100644
index 00000000..8577f181
--- /dev/null
+++ b/docs/integrations/evidence/ppvm-2026-11-10/versions.json
@@ -0,0 +1 @@
+{"PyMatching": "2.4.0", "Pygments": "2.21.0", "annotated-types": "0.8.0", "beartype": "0.23.1", "beliefmatching": "0.2.0", "bloqade-circuit": "0.15.5", "bloqade-decoders": "0.6.1", "bloqade-ppvm": "0.3.0", "contourpy": "1.4.0", "cycler": "0.12.1", "dnspython": "2.9.2", "fonttools": "4.68.0", "iniconfig": "2.3.1", "kirin-toolchain": "0.22.21", "kiwisolver": "1.5.1", "ldpc": "2.4.1", "markdown-it-py": "4.2.0", "matplotlib": "3.11.2", "mdurl": "0.1.2", "networkx": "3.7", "numpy": "2.2.6", "packaging": "26.3", "pandas": "3.1.1", "pillow": "13.0.0", "pluggy": "1.7.0", "pydantic": "2.14.3", "pydantic_core": "2.50.4", "pymongo": "4.19.0", "pyparsing": "3.3.3", "pyqrack-cpu": "1.89.0", "pytest": "9.2.0", "python-dateutil": "4.0.0", "rich": "15.0.0", "scipy": "1.18.1", "sinter": "1.16.0", "stim": "1.16.0", "tqdm": "4.70.1", "typing-inspection": "0.4.5", "typing_extensions": "4.16.0", "tzdata": "2026.6"}
\ No newline at end of file
diff --git a/site/index.html b/site/index.html
index 6dbddca0..889da9aa 100644
--- a/site/index.html
+++ b/site/index.html
@@ -60,7 +60,7 @@ 共建可信的
量子科研智能
开源开放的量子科研 AI 平台，汇聚社区的优秀软件与方法，推进可核对的研究。
开始使用 ↗
- - 189 个内置 Skill
+ - 190 个内置 Skill
- 91 个 MCP 服务连接
- 开源 · MIT 许可
diff --git a/src/settings/capability-categories.mjs b/src/settings/capability-categories.mjs
index 1e2edb53..a031225b 100644
--- a/src/settings/capability-categories.mjs
+++ b/src/settings/capability-categories.mjs
@@ -47,7 +47,7 @@ const groups = [
qec-memory-experiment mitiq-error-mitigation ldpc-decoding clifft-sampling
deltakit-qec quantum-qldpc alicebob-cat-circuits
mqt-qecc tqec-compilation tesseract-decoding tsim-sampling pecos-qec
- quantumclifford-julia chromobius-decoding emlint-dem-audit
+ quantumclifford-julia chromobius-decoding emlint-dem-audit ppvm-simulation
`],
["learning", "量子机器学习", `
quantum-guide-algorithms-quantum-machine-learning quantum-cvqnn quantum-qcbm
diff --git a/tests/capability-package-audit.test.mjs b/tests/capability-package-audit.test.mjs
index 6a218e00..6812ec91 100644
--- a/tests/capability-package-audit.test.mjs
+++ b/tests/capability-package-audit.test.mjs
@@ -89,12 +89,12 @@ test("repository capability packages conform to their declared L0-L3 evidence",
assert.equal(report.scope, "static-declaration");
assert.equal(report.status, "pass", report.issues.join("\n"));
assert.deepEqual(report.summary.levelCounts, {
- L0: 98,
+ L0: 99,
L1: 95,
L2: 1,
L3: 3,
});
- assert.equal(report.packages.length, 197);
+ assert.equal(report.packages.length, 198);
assert.equal(report.packages.flatMap((entry) => entry.execution.mcpServers).length, 91);
assert(
report.packages.every((entry) => entry.status === "pass"),
diff --git a/tests/desktop-preparation.test.mjs b/tests/desktop-preparation.test.mjs
index 66c23cea..080e04b2 100644
--- a/tests/desktop-preparation.test.mjs
+++ b/tests/desktop-preparation.test.mjs
@@ -57,6 +57,8 @@ test("Desktop native catalog, Skill changes and cached calls use the same curren
assert.equal(ctx.tools.schemas().filter(item => item.name === "find_openquantum_skills").length, 1);
assert.ok(ctx.tools.schemas().some(item => item.name === "run_qiskit_circuit"));
assert.ok((await ctx.skills.get("qiskit-circuit-workbench")).content.includes("prepare_openquantum_skill"));
+ assert.ok((await ctx.skills.list()).some(item => item.name === "ppvm-simulation"));
+ assert.match((await ctx.skills.get("ppvm-simulation")).content, /reset_state/);
const discovered = await call(agent, "find_openquantum_skills", { query: "qiskit" }); assert.equal(discovered.isError, false);
await app.request({ action: "skill.set", id: "qiskit-circuit-workbench", enabled: false, revision: (await app.settings.read()).revision });
assert.ok(!ctx.tools.schemas().some(item => item.name === "run_qiskit_circuit"));
diff --git a/tests/fixtures/ppvm-validation.py b/tests/fixtures/ppvm-validation.py
new file mode 100644
index 00000000..839d8a53
--- /dev/null
+++ b/tests/fixtures/ppvm-validation.py
@@ -0,0 +1,142 @@
+"""Development regression against analytic/dense references, not an Acceptance Profile."""
+import importlib.metadata
+import json
+import math
+import os
+from pathlib import Path
+
+import numpy as np
+from ppvm import GeneralizedTableau, LossyPauliSum, MeasurementResult, PauliSum, StimProgram, sample_stim
+
+checks = []
+
+
+def close(name, actual, expected, tolerance=1e-10):
+ actual, expected = float(actual), float(expected)
+ assert math.isfinite(actual) and abs(actual - expected) <= tolerance, (name, actual, expected)
+ checks.append({"name": name, "actual": actual, "reference": expected, "tolerance": tolerance})
+
+
+def require(name, condition):
+ assert condition, name
+ checks.append({"name": name, "passed": True})
+
+
+def rejects(name, action):
+ try:
+ action()
+ except ValueError:
+ checks.append({"name": name, "rejected": "ValueError"})
+ else:
+ raise AssertionError(f"{name}: expected ValueError")
+
+
+# Independent dense 2-qubit Schrodinger reference, q0 is the left tensor factor.
+identity = np.eye(2, dtype=complex)
+x = np.array([[0, 1], [1, 0]], dtype=complex)
+y = np.array([[0, -1j], [1j, 0]], dtype=complex)
+z = np.diag([1, -1]).astype(complex)
+h = (x + z) / math.sqrt(2)
+t = np.diag([1, np.exp(1j * math.pi / 4)])
+cnot = np.array([[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0]], dtype=complex)
+
+for theta in (0.19, -0.61, 1.17):
+ rx = math.cos(theta / 2) * identity - 1j * math.sin(theta / 2) * x
+ unitary = np.kron(identity, rx) @ cnot @ np.kron(t @ h, identity)
+ state = unitary @ np.array([1, 0, 0, 0], dtype=complex)
+ tableau = GeneralizedTableau(2, min_abs_coeff=0.0, seed=29)
+ tableau.h(0)
+ tableau.t(0)
+ tableau.cnot(0, 1)
+ tableau.rx(1, theta)
+ for word, operator in {"XI": np.kron(x, identity), "IZ": np.kron(identity, z),
+ "XX": np.kron(x, x), "XY": np.kron(x, y), "ZY": np.kron(z, y)}.items():
+ reference = np.vdot(state, operator @ state).real
+ close(f"tableau-dense-{theta}-{word}", tableau.expectation(word), reference)
+ observable = PauliSum.new(2, [word])
+ observable.rx(1, theta)
+ observable.cnot(0, 1)
+ # PauliSum has no t() shortcut; Rz(pi/4) differs from T only by global phase.
+ observable.rz(0, math.pi / 4)
+ observable.h(0)
+ close(f"heisenberg-dense-{theta}-{word}", observable.overlap_with_zero(), reference)
+
+# A non-unital channel makes the common order error observable.
+theta, gamma = 0.91, 0.31
+reference = gamma + (1 - gamma) * math.cos(theta)
+correct = PauliSum.new(1, ["Z"])
+correct.amplitude_damping(0, gamma)
+correct.rx(0, theta)
+close("rx-then-damping-analytic", correct.overlap_with_zero(), reference)
+wrong = PauliSum.new(1, ["Z"])
+wrong.rx(0, theta)
+wrong.amplitude_damping(0, gamma)
+require("wrong-noise-order-negative-control", abs(wrong.overlap_with_zero() - reference) > 0.1)
+
+# Lost measurement is an erasure outcome; a leaked qubit measures its pinned bit.
+tableau = GeneralizedTableau(1, seed=31)
+tableau.loss_channel(0, 1.0)
+tableau.reset_state(0)
+require("state-reset-preserves-lost", tableau.is_lost(0) and tableau.measure(0) == MeasurementResult.LOST)
+tableau.reset(0)
+require("full-reset-restores-lost", not tableau.is_lost(0) and tableau.measure(0) == MeasurementResult.ZERO)
+tableau.leakage_channel(0, 0.0, 1.0)
+tableau.x(0)
+tableau.reset_state(0)
+require("state-reset-preserves-leaked-pinned-one", tableau.is_leaked(0) and tableau.measure(0) == MeasurementResult.ONE)
+tableau.reset(0)
+require("full-reset-restores-leaked", not tableau.is_leaked(0) and tableau.measure(0) == MeasurementResult.ZERO)
+
+lossy = LossyPauliSum.new(2, ["ZZ"])
+lossy.correlated_loss_channel(0, 1, [0.0, 0.3, 0.0])
+close("correlated-loss-named-probability-analytic", lossy.overlap_with_zero(), 1 - 2 * 0.3)
+shots = 2048
+# Hoeffding two-sided bound for each Bernoulli mean, delta=1e-6. Engineering only.
+sampling_tolerance = math.sqrt(math.log(2 / 1e-6) / (2 * shots))
+single_losses = 0
+for seed in range(shots):
+ tableau = GeneralizedTableau(2, seed=seed)
+ tableau.correlated_loss_channel(0, 1, [0.0, 0.3, 0.0])
+ losses = sum(tableau.loss_values())
+ assert losses in (0, 1)
+ single_losses += losses
+close("correlated-loss-trajectory-frequency", single_losses / shots, 0.6, sampling_tolerance)
+
+program = StimProgram.parse("H 0\nCX 0 1\nM 0 1")
+samples = sample_stim(program, num_shots=shots, seed=20261110)
+require("stim-bell-record-shape-and-correlation", len(samples) == shots and all(len(row) == 2 and row[0] == row[1] and row[0] in (MeasurementResult.ZERO, MeasurementResult.ONE) for row in samples))
+close("stim-bell-one-frequency", sum(int(row[0]) for row in samples) / shots, 0.5, sampling_tolerance)
+require("stim-fixed-seed-replay", samples == sample_stim(program, num_shots=shots, seed=20261110))
+lost_samples = sample_stim(StimProgram.parse("I_ERROR[loss](1) 0\nM 0"), num_shots=8, seed=7)
+require("stim-loss-is-not-bool", all(row == [MeasurementResult.LOST] for row in lost_samples))
+
+# Characterize the documented approximation, NOT a full loss-channel validation.
+# For |+>, p0=0, p1=1, a physical no-loss branch is |0> (Z=1).
+# This version leaves surviving |+> unchanged (Z=0).
+survivors = []
+for seed in range(64):
+ tableau = GeneralizedTableau(1, seed=seed)
+ tableau.h(0)
+ tableau.asymmetric_loss_channel(0, 0.0, 1.0)
+ if not tableau.is_lost(0):
+ survivors.append(tableau.expectation("Z"))
+require("asymmetric-loss-survivor-approximation-detected", len(survivors) > 0 and all(abs(value) < 1e-10 for value in survivors))
+rejects("zero-qubit-tableau", lambda: GeneralizedTableau(0))
+rejects("python-tableau-binding-limit", lambda: GeneralizedTableau(2049))
+rejects("incomplete-cnot-pair", lambda: GeneralizedTableau(3).cnot(0, 1, 2))
+
+report = {
+ "upstreamVersion": importlib.metadata.version("bloqade-ppvm"),
+ "status": "passed_scoped_engineering",
+ "checks": checks,
+ "sampling": {"shots": shots, "hoeffdingDeltaPerMean": 1e-6, "tolerance": sampling_tolerance},
+ "limitations": ["Small CPU instances only; no scaling, speed or device calibration claim.",
+ "Asymmetric-loss surviving branch is intentionally recorded as an upstream approximation.",
+ "No Bloqade compilation, Lindbladian, Rust-only >2048-qubit or full Stim instruction coverage."],
+ "scientificValidation": "not_evaluated",
+}
+destination = Path(os.environ["OPENQUANTUM_SDK_CHECK_OUTPUT"])
+destination.mkdir(parents=True, exist_ok=True)
+with (destination / "ppvm-validation.json").open("x", encoding="utf-8") as output:
+ output.write(json.dumps(report, indent=2) + "\n")
+print(f"{len(checks)} scoped numerical, semantic and failure checks passed; scientificValidation=not_evaluated")
diff --git a/tests/ppvm-sdk.test.mjs b/tests/ppvm-sdk.test.mjs
new file mode 100644
index 00000000..bfb6bd2e
--- /dev/null
+++ b/tests/ppvm-sdk.test.mjs
@@ -0,0 +1,21 @@
+import assert from "node:assert/strict";
+import test from "node:test";
+import { fileURLToPath } from "node:url";
+import { describeSdk } from "../src/lib/sdk-access.mjs";
+
+const root = fileURLToPath(new URL("../", import.meta.url));
+
+test("PPVM discovery exposes the fixed source SDK and explicit preparation without executing a program", async () => {
+ const sdk = await describeSdk(root, "ppvm-simulation", {
+ environment: { OPENQUANTUM_PYTHON_ENV_ROOT: ".openquantum/ppvm-discovery-test-unprepared" },
+ });
+ assert.equal(sdk.environmentState, "not_prepared");
+ assert.equal(sdk.setup.effect, "workspace-write-and-download");
+ assert.ok(sdk.setup.args.includes("ppvm-simulation"));
+ assert.equal(sdk.apiAccess, "host-code");
+ assert.deepEqual(sdk.modules, ["ppvm"]);
+ assert.equal(sdk.scientificValidation, "not_evaluated");
+ const locked = sdk.lockedPackages.find(pkg => pkg.name === "bloqade-ppvm");
+ assert.equal(locked.version, "0.3.0");
+ assert.match(locked.source.git, /3cc883fd93b2475cb10c892a8a31adcc09a7579c/);
+});
diff --git a/tests/sdk-ecosystem-evidence.test.mjs b/tests/sdk-ecosystem-evidence.test.mjs
index 73172269..6acd002f 100644
--- a/tests/sdk-ecosystem-evidence.test.mjs
+++ b/tests/sdk-ecosystem-evidence.test.mjs
@@ -24,7 +24,8 @@ test("native SDK scoped API receipts are durable, match current locks and retain
const slowquant = JSON.parse(await fs.readFile(path.join(root, "docs/integrations/evidence/slowquant-2026-10-31.json")));
const tnqs = JSON.parse(await fs.readFile(path.join(root, "docs/integrations/evidence/tnqs-2026-11-05.json")));
const rcmps = JSON.parse(await fs.readFile(path.join(root, "docs/integrations/evidence/rcmps-2026-11-05.json")));
- const receipts = [...report.libraries, chromobius.receipt, lean.receipt, emlint.receipt, slowquant.receipt, tnqs.receipt, rcmps.receipt];
+ const ppvm = JSON.parse(await fs.readFile(path.join(root, "docs/integrations/evidence/ppvm-2026-11-10.json")));
+ const receipts = [...report.libraries, chromobius.receipt, lean.receipt, emlint.receipt, slowquant.receipt, tnqs.receipt, rcmps.receipt, ppvm.receipt];
const cohort = (await readSdkLibraries(root)).filter(entry => entry.nativeOnly);
const slowquantResult = JSON.parse(await fs.readFile(path.join(contained(slowquant.receipt.durableEvidenceDirectory), "result.json")));
assert.equal(slowquantResult.upstreamRevision, cohort.find(entry => entry.id === "slowquant-response").sourceProject.revision);
@@ -33,7 +34,7 @@ test("native SDK scoped API receipts are durable, match current locks and retain
assert.deepEqual(receipts.map(entry => entry.id).sort(), cohort.map(entry => entry.id).sort());
assert.equal(report.summary.passed, 26);
assert.equal(report.summary.scientificValidation, "not_evaluated");
- for (const numerical of [tnqs, rcmps]) {
+ for (const numerical of [tnqs, rcmps, ppvm]) {
for (const source of numerical.validationSources) {
assert.equal(hash(await fs.readFile(contained(source.path))), source.sha256, source.path);
}
diff --git a/tests/sdk-package.test.mjs b/tests/sdk-package.test.mjs
index c6f4186a..2f4a0300 100644
--- a/tests/sdk-package.test.mjs
+++ b/tests/sdk-package.test.mjs
@@ -51,6 +51,10 @@ test("SDK access survives archive, split installation and cached Skill relocatio
const discovery = JSON.parse((await run(process.execPath, [path.join(cached, "skills/quantum-sdk-workbench/scripts/sdk-access.mjs"), "list"], { env: environment })).stdout);
assert.ok(discovery.some(entry => entry.id === "quantum-algorithms"));
assert.ok(discovery.some(entry => entry.id === "netqasm-network"));
+ assert.ok(discovery.some(entry => entry.id === "ppvm-simulation"));
+ await fs.access(path.join(runtime, ".agents/skills/ppvm-simulation/references/native-example.py"));
+ const ppvmDomain = await fs.readFile(path.join(cached, "skills/ppvm-simulation/references/domain.md"), "utf8");
+ assert.match(ppvmDomain, /https:\/\/github\.com\/xi-zhao\/OpenQuantum\/blob\/[0-9a-f]{40}\/\.agents\/skills\/ppvm-simulation\/references\/native-example\.py/);
const pasqalScript = path.join(cached, "skills/pasqal-experiments/scripts/pasqal-cloud.mjs");
await fs.access(pasqalScript);
const pasqalSkill = await fs.readFile(path.join(cached, "skills/pasqal-experiments/SKILL.md"), "utf8");