statevector-simulator
Full state vector simulation skill for exact quantum circuit evaluation
Profile →npx skills add a5c-ai/babysitter --skill statevector-simulator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Statevector Simulator ## Purpose Provides expert guidance on exact quantum circuit simulation using full state vector methods for algorithm validation and analysis. ## Capabilities - Dense state vector simulation - GPU-accelerated simulation (cuQuantum) - State visualization - Entanglement entropy calculation - Fidelity computation - Memory-efficient techniques - Intermediate state inspection - Measurement probability analysis ## Usage Guidelines 1. **Qubit Scaling**: Understand memory limits (2^n amplitudes) 2. **Simulation Setup**: Configure simulator backend and precision 3. **Execution**: Run circuits with full state tracking 4. **Analysis**: Extract amplitudes, probabilities, and entanglement 5. **Validation**: Compare with expected theoretical results ## Tools/Libraries - Qiskit Aer - Cirq - cuStateVec (NVIDIA cuQuantum) - QuTiP - NumPy
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the statevector-simulator skill do?
Full state vector simulation skill for exact quantum circuit evaluation
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill statevector-simulator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.