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QI
Qiskit
Maintainer K-Dense Inc. · Last updated April 1, 2026
Qiskit is the world's most popular open-source quantum computing framework with 13M+ downloads. Build quantum circuits, optimi.
Original source
K-Dense-AI/claude-scientific-skills
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/qiskit
- Maintainer
- K-Dense Inc.
- License
- Apache-2.0 license
- Last updated
- April 1, 2026
Skill Snapshot
Key Details From SKILL.md
Key Notes
- 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.
- 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.
Source Doc
Excerpt From SKILL.md
First Circuit
from qiskit import QuantumCircuit
from qiskit.primitives import StatevectorSampler
## Run locally
sampler = StatevectorSampler()
result = sampler.run([qc], shots=1024).result()
counts = result[0].data.meas.get_counts()
print(counts) # {'00': ~512, '11': ~512}
1. Setup and Installation
For detailed installation, authentication, and IBM Quantum account setup:
- See
references/setup.md
Topics covered:
- Installation with uv
- Python environment setup
- IBM Quantum account and API token configuration
- Local vs. cloud execution
Use cases
- Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools.
Not for
- Do not rely on this catalog entry alone for installation or maintenance details.
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