Agent skill · Security

qutip

Simulate and audit closed and open quantum-system models with QuTiP 5, including deterministic, trajectory, steady-state, spectral, and phase-space workflows. Use for local quantum-dynamics work where physical assumptions, dimensions, and numerical convergence must be explicit.

K-Dense-AIgithub.com/K-Dense-AIGitHub ↗
claude-codeships scriptsMIT
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill qutip --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 13
SKILL.md size: 13 KB
Bundled scripts: yes
Version: 1.1
Requires: Requires Python 3.11+, uv, and qutip==5.3.0 for executable simulations. Bundled planners and all script help run with…
Path: skills/qutip/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 32,619
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# QuTiP 5 ## Scope Use QuTiP for finite-dimensional quantum mechanics, quantum optics, Lindblad dynamics, trajectories, weak-coupling Bloch-Redfield models, and specialized Floquet, HEOM, and permutational-invariance methods. It is not a hardware execution SDK. Circuit and control functionality moved to separate QuTiP family packages. This skill targets **QuTiP 5.3.0**, released 2026-05-22. QuTiP 5.3 requires Python 3.11 or newer. Its required distributions are NumPy (`>=1.23.2`), SciPy (`>=1.9.2`, excluding `1.16.0` and `1.17.0`), and `packaging`. ## Reproducible uv snapshot Create a dedicated environment and pin every direct distribution: ```bash uv venv --python 3.11 uv pip install "qutip==5.3.0" ``` For plots: ```bash uv pip install "qutip[graphics]==5.3.0" ``` Optional QuTiP family packages are independently versioned: ```bash uv pip install "qutip-qip==0.4.2" uv pip install "qutip-qtrl==0.2.0" uv pip install "qutip-jax==0.1.1" ``` - `qutip-qip` 0.4.2 (2026-06-23) is the production/stable circuit, gate, and noisy-device simulation package. Import from `qutip_qip`, not `qutip.qip`. - `qutip-qtrl` 0.2.0 (2026-06-23) provides GRAPE and CRAB **quantum optimal control**. It is not

What's inside
Steps it walks through
  1. Scope
  2. Reproducible uv snapshot
  3. Non-negotiable model contract
  4. Qobj, dimensions, and tensor order
  5. Choose the solver by physics
  6. Deterministic open-system example
  7. Time-dependent systems
  8. Trajectories and stochastic solvers
  9. Steady states, spectra, and phase space
  10. Advanced boundaries
  11. Safe local CLIs
  12. Completion checklist
  13. References
  14. Dated official sources
Ships with 12 files
  • references/advanced.md
  • references/analysis.md
  • references/core_concepts.md
  • references/time_evolution.md
  • references/visualization.md
  • scripts/_common.py
  • scripts/convergence_sweep.py
  • scripts/qobj_model_validator.py
  • scripts/result_audit.py
  • scripts/solver_config_planner.py
  • scripts/steady_state_spectrum_planner.py
  • scripts/two_level_simulation.py
Commands it runs
uv venv --python 3.11
uv pip install "qutip==5.3.0"
uv pip install "qutip[graphics]==5.3.0"
uv pip install "qutip-qip==0.4.2"
uv pip install "qutip-qtrl==0.2.0"
uv pip install "qutip-jax==0.1.1"
python skills/qutip/scripts/two_level_simulation.py --help
python skills/qutip/scripts/two_level_simulation.py \
python skills/qutip/scripts/result_audit.py two-level.json
More from scientific-agent-skills
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About this skill
What does the qutip skill do?

Simulate and audit closed and open quantum-system models with QuTiP 5, including deterministic, trajectory, steady-state, spectral, and phase-space workflows. Use for local quantum-dynamics work where physical assumptions, dimensions, and numerical convergence must be explicit.

How do I install it?

Run `npx skills add K-Dense-AI/scientific-agent-skills --skill qutip --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.

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