qiskitlisted
Install: claude install-skill Yuuqq/research-grade-skills
# Qiskit
## 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(0, 1) # CNOT from qubit 0 to 1
qc.measure_all() # Measure both qubits
# Run locally
sampler = StatevectorSampler()
result = sampler.run([qc], shots=1024).result()
counts = result[0].data.meas.get_counts()
print(counts) # {'00': ~512, '11': ~512}
```
### Visualization
```python
from qiskit.visualization import plot_histogram
qc.draw('mpl') # Circuit diagram
plot_histogram(counts) # Results histogram
```
## Core Capabilities
### 1. Setup and Installation
For detailed installation, authentication, and IBM Quantum account setup:
- **See `references/setup.md`*