Qutip

QuTiP is the go-to library for simulating open quantum systems where decoherence and dissipation matter. If you're modeling cavity QED, master equations, or Lindblad dynamics, this handles the physics properly with multiple solvers optimized for different scenarios. The mesolve function for mixed states with dissipation, mcsolve for quantum trajectories, and floquet methods for driven systems cover most research needs. It's built for physicists doing actual quantum optics simulations, not gate-based quantum computing. The Hilbert space truncation and solver selection make a real difference in performance, and the Wigner function visualizations are genuinely useful for understanding what's happening in phase space.

skills.sh installs: 2K
GitHub stars: 56.6K
last updated: Aug 21, 2026

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Install

$ npx -y skills add k-dense-ai/scientific-agent-skills --skill qutip --agent claude-code

Installs into .claude/skills of the current project.

Files

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 5.3.1, released 2026-08-04. 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:

uv venv --python 3.11
uv pip install "qutip==5.3.1"

For plots:

uv pip install "qutip[graphics]==5.3.1"

Optional QuTiP family packages are independently versioned:

uv pip install "qutip-qip==0.4.2"
uv pip install "qutip-qtrl==0.2.0"
uv pip install "qutip-jax==0.1.1"

SKILL.md on GitHub

Details

Repository: github.com/k-dense-ai/scientific-agent-skills
Category: AI & Agent Building
First seen: Jun 3, 2026