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.
NewMaintained
Automatic
◆Coding pack
Last verified 8/11/2026
What it changes
Passed 0 of 22 test cases with the skill, and 22 of 22 without it.
Without skill100%
With skill0%
0 fixed21 passed either way0 still failing1 broke
Pass-rate lift
-100 pp
Tokens
+100%
Agent turns
0%
Response time
-24%
Model gemini-3.6-flashMeasured 8/11/2026v121 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
What's inside
The instructions your model reads when the skill loads.
SKILL.md274 linessingle file
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
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()