Cirq
Skill Verifiziert AktivGoogle 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.
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.
Funktionen
- 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
Anwendungsfälle
- Targeting Google Quantum AI hardware
- Designing noise-aware quantum circuits
- Running quantum characterization experiments
- Simulating quantum algorithms with parameter sweeps
Nicht-Ziele
- Running circuits on IBM hardware (use qiskit)
- Quantum ML with autodiff (use pennylane)
- Physics simulations (use qutip)
Installation
npx skills add K-Dense-AI/claude-scientific-skillsFührt das Vercel skills CLI (skills.sh) via npx aus — benötigt Node.js lokal und mindestens einen installierten skills-kompatiblen Agent (Claude Code, Cursor, Codex, …). Setzt voraus, dass das Repo dem agentskills.io-Format folgt.
Qualitätspunktzahl
VerifiziertVertrauenssignale
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