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量子计算思维模拟器

Name: 量子计算思维模拟器
Author: aaroncxxx

作者 aaroncxxx · GitHub ↗ · v2.1.0 · MIT-0

cross-platform ✓ 安全检测通过

总下载

当前安装

版本数

在 OpenClaw 中安装

/install quantum-computing-simulator

功能描述

量子计算思维模拟器 — 基于帝国架构的多智能体量子协作演示。直观理解叠加态、纠缠、并行计算和时空复用。灵感来自九章四号光量子计算原型机。

使用说明 (SKILL.md)

量子计算思维模拟器 v2.1

Quantum Computing Thinking Simulator

概述

基于帝国架构的多智能体协作模式，直观演示量子计算核心概念。让普通用户无需数学背景也能理解量子计算的精髓。

灵感来源：九章四号光量子计算原型机

核心概念

量子概念	帝国架构对应	用户体验
叠加态	Agent 同时持有多个观点	Agent 有多种可能立场，概率可视化
纠缠	Agent 间深度协作关联	一个 Agent 确定，另一个自动关联
测量坍缩	确定立场/选择方案	叠加态变为确定结果
时空复用	同一 Agent 多角色轮转	九章四号风格的调度演示
量子行走	决策空间多路径探索	同时探索多条路径
Bell 不等式	协作有效性验证	验证量子非局域性

快速开始

# 交互模式
python3 quantum_cli.py

# 完整演示
python3 quantum_cli.py demo

# 单独实验
python3 quantum_cli.py superposition  # 叠加态
python3 quantum_cli.py entangle       # 纠缠
python3 quantum_cli.py timeslice      # 时空复用
python3 quantum_cli.py debate         # 量子辩论
python3 quantum_cli.py bell           # Bell 不等式
python3 quantum_cli.py walk           # 量子行走
python3 quantum_cli.py network        # 纠缠网络

作为 Skill 使用

from skills.quantum_sim import Qubit, QuantumGate, EntanglementChamber
from skills.quantum_sim import QuantumAgent, QuantumSwarm
from skills.quantum_sim import TimeSpaceMultiplexer

# 创建叠加态
q = Qubit.zero()
q = QuantumGate.hadamard(q)  # |0⟩ → |+⟩
print(q.description())

# 创建纠缠对
pair = EntanglementChamber.create_bell_pair("Φ+")
ra, rb = EntanglementChamber.measure_pair(pair)

# 量子辩论
agent_a = QuantumAgent("A", "参谋A")
agent_b = QuantumAgent("B", "参谋B")
debate = agent_a.quantum_debate(agent_b, "议题", rounds=3)

文件结构

quantum_sim/
├── __init__.py         # 包入口
├── qubit.py            # 量子比特模拟
├── gates.py            # 量子门集合
├── entanglement.py     # 纠缠对与 Bell 态
├── timeslice.py        # 时空复用器
├── quantum_agent.py    # 量子智能体
└── quantum_cli.py      # CLI 入口

技术栈

Python 3.8+
纯 Python 实现（无外部依赖）
复数振幅精确模拟
ASCII 可视化

链接

GitHub: https://github.com/aaroncxxx/empire-architecture
灵感: 九章四号光量子计算原型机

安全使用建议

This looks safe for an educational local demo. Install or run it only if you trust the publisher enough to execute the bundled Python files; it should not require secrets, accounts, or special system access.

功能分析

Type: OpenClaw Skill Name: quantum-computing-simulator Version: 2.1.0 The skill bundle is a pure Python simulation of quantum computing concepts (superposition, entanglement, gates) applied to a multi-agent framework. The code logic across files like qubit.py, gates.py, and quantum_agent.py is entirely consistent with its stated educational purpose and lacks any indicators of data exfiltration, malicious execution, or prompt injection.

能力评估

✓ Purpose & Capability

The SKILL.md description and bundled Python files consistently implement qubit, gate, entanglement, time-slice, and demo CLI functionality for education/simulation.

✓ Instruction Scope

The instructions are user-invoked examples and CLI commands; they do not tell the agent to run autonomously, override user intent, or perform unrelated actions.

ℹ Install Mechanism

The skill is run as local Python code and has limited source provenance metadata, but the artifacts show no external package install, remote script, or hidden dependency.

✓ Credentials

No credentials, environment variables, required config paths, network endpoints, or broad local file access are requested.

✓ Persistence & Privilege

State such as opinions, schedules, and logs appears to be in-memory only; there is no evidence of background persistence, privilege escalation, or protected-path mutation.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install quantum-computing-simulator
安装完成后，直接呼叫该 Skill 的名称或使用 /quantum-computing-simulator 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v2.1.0

test

元数据

Slug quantum-computing-simulator

版本 2.1.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

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