Metadata-Version: 2.4
Name: unified-quantum
Version: 0.0.14
Summary: UnifiedQuantum - A unified, non-commercial quantum computing aggregation framework.
Author-email: Agony <chenzhaoyun@iai.ustc.edu.cn>
License: Apache License
                                   Version 2.0, January 2004
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<p align="center">
  <img src="https://raw.githubusercontent.com/IAI-USTC-Quantum/UnifiedQuantum/v0.0.5/banner_uniqc.png" alt="UnifiedQuantum Banner" width="100%">
</p>

# UnifiedQuantum

[![PyPI version](https://badge.fury.io/py/unified-quantum.svg?icon=si%3Apython)](https://badge.fury.io/py/unified-quantum)
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[![Quantum | AI](https://img.shields.io/badge/Quantum_Computing-AI-00e5ff?style=flat-square)](https://iai-ustc-quantum.github.io/)
[![Skill](https://img.shields.io/badge/Skill-quantum--computing.skill-58a6ff?style=flat-square)](https://github.com/IAI-USTC-Quantum/quantum-computing.skill)

**[English](README_en.md)** | **中文版**

**UnifiedQuantum** — 非商业性量子计算聚合框架。

UnifiedQuantum 是一个轻量级 Python 框架，为量子线路构建、模拟和云端执行提供**统一接口**，聚合 OriginQ、Quafu、IBM Quantum 等多平台后端于一套一致的 API 下。

除了核心的线路构建和执行能力，UnifiedQuantum 还提供完整的**本地芯片校准与量子错误缓解（QEM）工具链**：

- **XEB 交叉熵基准测试**：`uniqc calibrate xeb` 测量每层门保真度，支持单比特、双比特和并行 2q 模式
- **读出误差校准 + M3 缓解**：混淆矩阵标定与线性求逆修正
- **本地含噪模拟**：通过 `dummy:<platform>:<backend>` 复用真实芯片的拓扑和校准数据，先 compile/transpile，再在本地重现硬件噪声特性
- **DSatur 并行调度**：自动将 2q 门分配到最小并行轮次

所有校准结果写入 `~/.uniqc/calibration_cache/`，QEM 模块读取并强制 TTL 新鲜度策略。

---

## 核心工作流

UnifiedQuantum 围绕一个简洁的工作流设计：**任意方式构建线路 → `uniqc` CLI 统一执行**。

### 1. 安装

```bash
# 推荐：通过 uv 安装 CLI 工具（全局可用，无需虚拟环境）
uv tool install unified-quantum

# 或从 PyPI 安装 Python 包（提供 Python API）
uv pip install unified-quantum
```

### 2. 构建线路（支持原生 API 或任意第三方工具）

```python
from uniqc import Circuit

c = Circuit()
c.h(0)
c.cnot(0, 1)
c.measure(0)
c.measure(1)

# 输出 OriginIR 格式，可供 CLI 使用
open('circuit.ir', 'w').write(c.originir)
```

> 你也可以使用 Qiskit、Cirq 等工具构建线路，只需最终输出 OriginIR 或 OpenQASM 2.0 格式。

### 3. CLI 统一执行

```bash
# 本地模拟
uniqc simulate circuit.ir --shots 1000

# 提交到云端
uniqc submit circuit.ir --backend originq:WK_C180 --shots 1000

# dummy backend 编号规则
uniqc submit circuit.ir --backend dummy:local:simulator --shots 1000
uniqc submit circuit.ir --backend dummy:local:virtual-line-3 --shots 1000
uniqc submit circuit.ir --backend dummy:originq:WK_C180 --shots 1000

# 查询任务结果
uniqc result <task_id>
```

`dummy` 表示无约束、无噪声本地虚拟机；`dummy:local:virtual-line-N` / `dummy:local:virtual-grid-RxC` 表示带虚拟拓扑约束的无噪声本地 backend；`dummy:<platform>:<backend>` 表示先按真实 backend compile/transpile，再用真实芯片标定数据在本地含噪执行。

---

## 设计理念

UnifiedQuantum 是一个**非商业性**的开源项目，致力于打造 **AI 时代原生**的量子计算应用框架：

- **AI 原生**：专为 AI 工作流设计，无缝集成到现代开发与推理流程中
- **CLI-first**：开箱即用的命令行工具，一条命令完成线路构建、模拟、提交与结果分析
- **聚合**：整合多种量子云平台（OriginQ、Quafu、IBM Quantum），提供统一接口
- **统一**：一致的 API 设计，屏蔽各平台差异
- **透明**：清晰的量子程序组装与执行方式，无隐藏行为
- **轻量**：纯 Python 实现，安装简单，集成方便

> **配套 Skill**：在 [IAI-USTC-Quantum/quantum-computing.skill](https://github.com/IAI-USTC-Quantum/quantum-computing.skill) 中获取 Claude Code 集成指南与 AI 辅助量子编程工作流。

<p align="center">
  <img src="concept_unified_platforms.png" alt="UnifiedQuantum 统一接入概念图" width="100%">
</p>

---

## Features

- **多平台提交**：一个 `submit_task`（或 `uniqc submit`）即可将同一份线路发往 OriginQ、Quafu、IBM Quantum，或本地 dummy 模拟器。支持自动检测输入格式：`Circuit` 对象、OriginIR 字符串、QASM 字符串、`qiskit.QuantumCircuit`。
- **格式互转**：`Circuit.from_qasm()` / `Circuit.from_originir()` 导入，`circuit.to_qasm()` / `circuit.to_originir()` 导出。
- **本地模拟**：自带 OriginIR Simulator、QASM Simulator，支持 statevector / density matrix 两种后端，以及带噪声的变体。
- **算法组件**：内置 HEA、UCCSD、QAOA 等常用 ansatz，可直接用于 VQE / QAOA 研究。
- **PyTorch 集成**：提供 `QuantumLayer`、参数偏移梯度、批处理执行，便于构建混合量子—经典模型。
- **可互操作**：线路既可用原生 API 构建，也可来自 Qiskit、Cirq 等第三方工具，只要最终产出 OriginIR 或 OpenQASM 2.0。
- **异步提交**：`submit_task` 立即返回 `task_id`；`poll_result()` 非阻塞查询状态，`get_result()` 或 `wait_for_result()` 阻塞等待完成。
- **易扩展**：门集、错误模型、平台适配器都按接口组织，添加新后端只需实现一个 adapter。

---

## Installation

### Supported Platforms

- Windows / Linux / macOS

### Requirements

- Python 3.10 – 3.13

### 从 PyPI 安装（推荐）

```bash
# 安装 CLI 工具（全局可用，无需虚拟环境）
uv tool install unified-quantum

# 安装 Python 包（提供 Python API，可与 uv tool 安装共存）
uv pip install unified-quantum
```

> **中国大陆用户推荐配置清华源**，可大幅提升下载速度：
> ```bash
> # 临时使用（仅本次）
> uv pip install unified-quantum --index-url https://pypi.tuna.tsinghua.edu.cn/simple/
> # 永久生效
> uv pip install --python-preference managed --index-url https://pypi.tuna.tsinghua.edu.cn/simple/
> ```

### 从源码构建

如果你需要开发新版、安装开发版本或启用 C++ 模拟器：

```bash
git clone --recurse-submodules https://github.com/IAI-USTC-Quantum/UnifiedQuantum.git
cd UnifiedQuantum

# Maintainer / 全量开发环境：安装 dev、docs 和全部可选后端依赖，并按当前包索引升级解析
uv sync --all-extras --group dev --group docs --upgrade

# 运行完整测试套件
uv run pytest uniqc/test

# 包含真实云平台量子线路执行测试
uv run pytest uniqc/test --real-cloud-test
```

维护者环境不应把 qiskit、QuTiP、Sphinx 等当前维护的可选或文档模块缺失视为正常跳过条件。`pyproject.toml` 不钉住第三方依赖版本，主分支也不提交 `uv.lock`；全量开发和 CI 应按当前包索引解析最新可用依赖，及时暴露上游兼容性问题。Quafu/`pyquafu` 是例外：该平台 SDK 已 deprecated，且 `pyquafu` 依赖 `numpy<2`，因此不再包含在 `[all]` 中。

真实云平台测试中，读取后端、验证 token、查询平台 status/API 的测试默认执行；只有会实际提交量子线路的测试默认跳过，需要显式传 `--real-cloud-test`。

**Requirements:**
- CMake >= 3.26
- C++ compiler with C++17 support
- Git submodules (fmt)
- pybind11 from the Python build environment, declared in `pyproject.toml`

如果系统 CMake 版本过低（< 3.26），先升级：

```bash
pip install cmake --upgrade
```

### pip 备选方案

> pip 不支持 `uv tool install` 的 CLI 全局安装方式（无需虚拟环境即可全局调用 `uniqc` 命令）。如无特殊需求，推荐使用上面的 `uv` 安装方式。

```bash
# 从 PyPI 安装
pip install unified-quantum

# 从源码安装
pip install .
pip install -e .
```

### 可选依赖

核心依赖（包括 `scipy`）在默认安装中已包含。以下为可选功能依赖：

| 功能 | 安装命令（uv） | pip 备选 |
|------|----------------|---------|
| OriginQ 云平台 | `uv pip install unified-quantum[originq]` | `pip install unified-quantum[originq]` |
| QuarkStudio / Quark 云平台 (Python ≥ 3.12) | `uv pip install unified-quantum[quark]` | `pip install unified-quantum[quark]` |
| 高级模拟 (QuTiP) | `uv pip install unified-quantum[simulation]` | `pip install unified-quantum[simulation]` |
| 可视化 | `uv pip install unified-quantum[visualization]` | `pip install unified-quantum[visualization]` |
| PyTorch 集成 | `uv pip install unified-quantum[pytorch]` | `pip install unified-quantum[pytorch]` |
| 安装所有可选依赖 | `uv pip install unified-quantum[all]` | `pip install unified-quantum[all]` |

> **Quafu 已归档 / Archived**：`[quafu]` extra 已移除。Quafu 平台 SDK 已 deprecated；如仍需使用，请直接 `pip install pyquafu` 并自行承担 `numpy<2` 的环境降级风险，UnifiedQuantum 后续不保证 Quafu 相关代码一致性和完整性。
>
> Qiskit 已是核心依赖（随 `unified-quantum` 默认安装），无需单独的 `[qiskit]` extra。

TorchQuantum 后端当前不包含在 PyPI extras 中，需要手动安装：

```bash
uv pip install unified-quantum[pytorch]
uv pip install "torchquantum @ git+https://github.com/Agony5757/torchquantum.git@fix/optional-qiskit-deps"
```

不安装 TorchQuantum 不会影响核心功能、QuTiP 模拟、云平台适配器或常规 `uniqc.torch_adapter` 功能；只有 TorchQuantum 专用后端与示例会在实际使用时提示缺少该依赖。

---

## CLI Quick Reference

```bash
# 查看帮助
uniqc --help

# 安装 AI 技能（AI Agent）
npx skills add IAI-USTC-Quantum/quantum-computing.skill --agent codex --skill '*'
npx skills add IAI-USTC-Quantum/quantum-computing.skill --agent claude-code --skill '*'

# 本地模拟
uniqc simulate circuit.ir --shots 1000

# 提交到云端（支持 originq / quafu / ibm / dummy）
uniqc submit circuit.ir --backend originq:WK_C180 --shots 1000

# 查询任务结果
uniqc result <task_id>

# 配置云平台 Token
uniqc config init
uniqc config set originq.token YOUR_TOKEN

# 校准与 QEM 数据准备
uniqc calibrate readout --backend dummy --qubits 0 1 --shots 1000
uniqc calibrate xeb --backend dummy --type 1q --qubits 0 1 --depths 5 10
```

### 后端信息查询

```bash
# 列出所有可用后端（默认隐藏 unavailable/deprecated）
uniqc backend list

# 显示所有后端（包括 unavailable/deprecated）
uniqc backend list --all

# 显示带保真度信息的表格
uniqc backend list --info

# 查看单个后端详情（含保真度、相干时间、拓扑）
uniqc backend show originq:WK_C180

# 强制刷新后端缓存（update 始终全量拉取最新数据）
uniqc backend update
```

---

## Examples

📁 [examples/](examples/README.md) — Runnable demonstrations

### Getting Started

| Example | Description |
|---------|-------------|
| [Circuit Remapping](examples/1_basic_usage/02_local_simulation.py) | Build a circuit and remap qubits for real hardware |
| [Dummy Server](examples/1_basic_usage/03_submit_and_postprocess.py) | Submit tasks to the local dummy simulator |
| [Result Post-Processing](examples/1_basic_usage/03_submit_and_postprocess.py) | Convert and analyze results |

### Algorithms

| Example | Description |
|---------|-------------|
| [Grover Search](examples/algorithms/grover.md) | Unstructured search with quadratic speedup |
| [Quantum Phase Estimation](examples/algorithms/qpe.md) | Eigenvalue phase estimation |

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## Documentation

📖 [GitHub Pages](https://iai-ustc-quantum.github.io/UnifiedQuantum/docs/)

### Release Notes

- 版本变化总览：<https://iai-ustc-quantum.github.io/UnifiedQuantum/docs/source/7_releases/index.html>

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## 关于我们

**UnifiedQuantum** 由 [IAI-USTC-Quantum](https://github.com/IAI-USTC-Quantum) 团队开发和维护。

- **机构**：[合肥综合性国家科学中心人工智能研究院](https://iai-ustc-quantum.github.io) · 量子人工智能团队
- **GitHub 组织**：[github.com/IAI-USTC-Quantum](https://github.com/IAI-USTC-Quantum)
- **文档站点**：[iai-ustc-quantum.github.io](https://iai-ustc-quantum.github.io)
- **联系我们**：chenzhaoyun@iai.ustc.edu.cn

欢迎提交 Issues、Pull Request，或通过邮件联系我们。如果您对量子计算研究感兴趣，欢迎加入我们。

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## Status

🚧 Actively developing. API may change.
