Description
qutip is an agent skill for simulating and auditing closed and open quantum-system models with QuTiP 5. It covers deterministic evolution, trajectory methods, steady states, spectral analysis and phase-space workflows. It is suited to finite-dimensional quantum mechanics, quantum optics, Lindblad dynamics, trajectories, weak-coupling Bloch-Redfield models, and specialised Floquet, HEOM and permutational-invariance methods. QuTiP is not a hardware execution toolkit, and its circuit and control functions have moved to separate packages in the QuTiP family. The skill targets QuTiP 5.3.1, released on 4 August 2026. QuTiP 5.3 needs Python 3.11 or newer, along with NumPy at least 1.23.2, SciPy at least 1.9.2 excluding 1.16.0 and 1.17.0, and packaging. The skill asks you to create a dedicated environment and pin every direct dependency, so that the results can be reproduced. Use it to model a quantum system and to check that a simulation is set up correctly before you trust its output. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,700 installs.…
Highlights
- Closed and open quantum systems
- Lindblad and trajectory dynamics
- Steady-state and spectral workflows
- Floquet, HEOM and phase-space methods
- Targets QuTiP 5.3.1
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qutip FAQ
What is QuTiP used for?
Simulating finite-dimensional quantum systems, including quantum optics and Lindblad dynamics.
Can it run on quantum hardware?
No. The skill says QuTiP is not a hardware execution SDK.
Which version is targeted?
QuTiP 5.3.1, released on 4 August 2026.
What Python version is needed?
Python 3.11 or newer.
How do I install it?
Run npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill qutip.
Is it checked for security?
Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk.
What are the best qutip alternatives?
Popular alternatives to qutip include cirq, fluidsim and pufferlib. See all qutip alternatives