qiskit
Qiskit is the world's most popular open-source quantum computing framework with 13M+ downloads. Build quantum circuits, optimize for hardware, execute on simulators or real quantum computers, and analyze results. Supports IBM Quantum (100+ qubit systems), IonQ, Amazon Braket, and other providers.
Profile →npx skills add majiayu000/claude-skill-registry --skill qiskit-sickn33-antigravity-awesome --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.
# Qiskit ## When to Use - You are building or optimizing quantum circuits with Qiskit for simulators or real hardware. - You need IBM Quantum-style tooling for transpilation, execution, visualization, or algorithm libraries. - You want guidance on moving from a simple circuit prototype to backend-aware execution. ## Overview Qiskit is the world's most popular open-source quantum computing framework with 13M+ downloads. Build quantum circuits, optimize for hardware, execute on simulators or real quantum computers, and analyze results. Supports IBM Quantum (100+ qubit systems), IonQ, Amazon Braket, and other providers. **Key Features:** - 83x faster transpilation than competitors - 29% fewer two-qubit gates in optimized circuits - Backend-agnostic execution (local simulators or cloud hardware) - Comprehensive algorithm libraries for optimization, chemistry, and ML ## Quick Start ### Installation ```bash uv pip install qiskit uv pip install "qiskit[visualization]" matplotlib ``` ### First Circuit ```python from qiskit import QuantumCircuit from qiskit.primitives import StatevectorSampler # Create Bell state (entangled qubits) qc = QuantumCircuit(2) qc.h(0) # Hadamard on qubit 0 qc.cx(
- When to Use
- Overview
- Quick Start
- Installation
- First Circuit
- Visualization
- Core Capabilities
- 1. Setup and Installation
- 2. Building Quantum Circuits
- 3. Primitives (Sampler and Estimator)
- 4. Transpilation and Optimization
- 5. Visualization
- 6. Hardware Backends
- 7. Qiskit Patterns Workflow
uv pip install qiskit uv pip install "qiskit[visualization]" matplotlib
What does the qiskit skill do?
Qiskit is the world's most popular open-source quantum computing framework with 13M+ downloads. Build quantum circuits, optimize for hardware, execute on simulators or real quantum computers, and analyze results. Supports IBM Quantum (100+ qubit systems), IonQ, Amazon Braket, and other providers.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill qiskit-sickn33-antigravity-awesome --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 majiayu000/claude-skill-registry, a repository with 534 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.