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Cirq

技能 已验证 活跃

Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for physics simulations use qutip.

目的

To enable AI agents to utilize Google's Cirq framework for quantum computing tasks, from basic circuit design and simulation to advanced noise modeling and hardware integration.

功能

  • Design and simulate quantum circuits with Cirq
  • Integrate with various quantum hardware providers
  • Implement noise models and error mitigation techniques
  • Run parameterized circuits and sweeps
  • Access detailed documentation and best practices

使用场景

  • Targeting Google Quantum AI hardware
  • Designing noise-aware quantum circuits
  • Running quantum characterization experiments
  • Simulating quantum algorithms with parameter sweeps

非目标

  • Running circuits on IBM hardware (use qiskit)
  • Quantum ML with autodiff (use pennylane)
  • Physics simulations (use qutip)

安装

npx skills add K-Dense-AI/claude-scientific-skills

通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。

质量评分

已验证
98 /100
1 day ago 分析

信任信号

最近提交3 days ago
星标21k
许可证MIT
状态
查看源代码

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