qiskit
Build, simulate, transpile, and execute quantum circuits with Qiskit and IBM Quantum Runtime. Use for Qiskit 2.x circuits and operators, V2 Sampler or Estimator primitives, target-aware transpilation, local or noisy simulation, IBM QPU execution, Runtime sessions or batches, error mitigation, and Qiskit ecosystem packages.
npx skills add K-Dense-AI/scientific-agent-skills --skill qiskit --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 Use current Qiskit 2.x APIs to build circuits, prepare hardware-compatible instruction set architecture (ISA) circuits, and execute them through V2 primitives. This skill was verified on **2026-07-23** against the PyPI releases `qiskit==2.5.0`, `qiskit-ibm-runtime==0.48.0`, and `qiskit-aer==0.17.2`. Check [references/sources.md](references/sources.md) before changing pins or documenting newly released behavior. ## Choose the Right Path | Goal | Recommended interface | |---|---| | Exact local sampling | `qiskit.primitives.StatevectorSampler` | | Exact local expectation values | `qiskit.primitives.StatevectorEstimator` | | High-performance or noisy simulation | Qiskit Aer | | IBM QPU sampling | `qiskit_ibm_runtime.SamplerV2` | | IBM QPU expectation values and mitigation | `qiskit_ibm_runtime.EstimatorV2` | | Backend without native primitives | `BackendSamplerV2` or `BackendEstimatorV2` | | Open-system or master-equation dynamics | Prefer QuTiP | | Differentiable quantum machine learning | Prefer PennyLane unless Qiskit integration is required | ## Installation Create an isolated environment and install only the components needed: ```bash uv venv --python 3.13 source .venv/bi
- Choose the Right Path
- Installation
- Core Workflow
- Quick Local Sampling
- Quick Local Estimation
- IBM QPU Sampling
- IBM QPU Estimation
- Non-Negotiable Qiskit 2.x Rules
- Execution Modes
- Reference Map
- Bundled Scripts
- Final Checklist
uv venv --python 3.13 source .venv/bin/activate Core SDK plus plotting support uv pip install "qiskit[visualization]==2.5.0" Add only when needed uv pip install "qiskit-ibm-runtime==0.48.0" uv pip install "qiskit-aer==0.17.2" Installed-package and legacy-environment checks; no network or credential reads python scripts/check_environment.py Runnable V2 local Sampler and Estimator example
What does the qiskit skill do?
Build, simulate, transpile, and execute quantum circuits with Qiskit and IBM Quantum Runtime. Use for Qiskit 2.x circuits and operators, V2 Sampler or Estimator primitives, target-aware transpilation, local or noisy simulation, IBM QPU execution, Runtime sessions or batches, error mitigation, and Qiskit ecosystem packages.
How do I install it?
Run `npx skills add K-Dense-AI/scientific-agent-skills --skill qiskit --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 K-Dense-AI/scientific-agent-skills, a repository with 32,619 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.