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QuTiP 5 Quantum Dynamics

Simulate and audit closed and open quantum systems with QuTiP 5.3, making units, dimensions, and numerical convergence explicit.

Data & AnalyticsAdvanced★ 33,030⑂ 3,248AI score 8/10Last updated: Aug 9, 2026

What it does

  • Maps the physics to the right solver: sesolve (closed), mesolve (Lindblad), mcsolve (quantum jumps), brmesolve (Bloch-Redfield), ssesolve/smesolve (diffusive measurement), FloquetBasis/fmmesolve (periodic drive), qutip.solver.heom, and qutip.piqs.
  • Enforces a non-negotiable model contract before solving: ħ=1 conventions, never mixing Hz with rad/s, preserving tensor() subsystem order, state validity (norm, Hermiticity, trace, positivity), the sqrt(gamma) * A Lindblad convention, and explicit statement of RWA / Born-Markov / secular / truncation assumptions.
  • Requires convergence sweeps over every artificial cutoff: Fock dimension, time and frequency grids, ODE tolerances, trajectory counts, Floquet harmonics, HEOM depth.
  • Gives a reproducible uv environment recipe with pinned versions and clarifies the maturity of family packages (qutip-qip stable, qutip-qtrl/qutip-jax pre-alpha, qutip-cupy unreleased).
  • Ships local-only CLIs that emit strict JSON and never load pickles: model validator, two-level simulation, solver config planner, convergence sweep, result audit, steady-state/spectrum planner.

Who it's for

  • Researchers and graduate students in quantum optics, superconducting qubits, and open-system dynamics.
  • Anyone migrating QuTiP 4 code to 5.x (dict options, deprecated f(t, args) coefficient signature).
  • Teams that need reproducible, convergence-justified numbers for papers or internal reports.

Examples

  1. Decaying two-level system: run mesolve with a sqrt(gamma) * sigmam() channel and assert the excited-state population matches exp(-gamma*t) to 2e-6.
  2. Gaussian pulse drive: build a QobjEvo from a Python envelope callable and sweep amplitude via H.arguments(...).
  3. Steady state and phase space: solve steadystate, verify the Liouvillian residual, plot a Q function with QFunc, and cross-check the direct spectrum against an FFT of a correlation function for aliasing and window sensitivity.
  4. Safe auditing: produce JSON from two_level_simulation.py and inspect it with result_audit.py without deserializing Python objects.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/HEAD/skills/qutip/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on AI Skill Mart.
Copy the skills/qutip folder from the GitHub repo K-Dense-AI/scientific-agent-skills into my ~/.claude/skills/qutip/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/K-Dense-AI/scientific-agent-skills.git /tmp/sas && mkdir -p ~/.claude/skills && cp -r /tmp/sas/skills/qutip ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal and clone the repo: git clone https://github.com/K-Dense-AI/scientific-agent-skills.git
  2. Create the skills directory: mkdir -p ~/.claude/skills
  3. Copy just this skill: cp -r scientific-agent-skills/skills/qutip ~/.claude/skills/
  4. Install Python 3.11+ and uv (e.g. curl -LsSf https://astral.sh/uv/install.sh | sh).
  5. Create a pinned environment: uv venv --python 3.11 then uv pip install "qutip==5.3.0" (use "qutip[graphics]==5.3.0" if you need plots).
  6. Restart Claude Code and ask something like "simulate a damped qubit with QuTiP and check convergence" to trigger the skill.
  7. Verify bundled tools: python ~/.claude/skills/qutip/scripts/two_level_simulation.py --help (help works even without QuTiP installed).
View source on GitHub ↗License: MIT