cirq
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.
| Field | Value |
|---|---|
| Owner | K-Dense-AI |
| Curator | Thomas Cherickal |
| Source | K-Dense-AI/scientific-agent-skills |
| Repo stars | 57,202 |
| License | MIT |
| Repo last push | 2026-11-09 |
| Also published in | davila7/claude-code-templates, sickn33/agentic-awesome-skills |
Links
- Roles: quantum-computing-engineer, quantum-ml-engineer, quantum-computing-researcher
- Source repo: K-Dense-AI/scientific-agent-skills
- Same repo: scholar-evaluation, zarr-python, scientific-brainstorming, pi-agent, iso-standards-readiness, pennylane, qiskit, qutip
- Registry seed skills for this role: quantum-computing-engineer seed skills