domains / families / science / 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. Quantum mechanics simulations and analysis using QuTiP (Quantum Toolbox in Python). Use when working with quantum systems including: (1) quantum states (kets, bras, density matrices), (2) quantum operators and gates, (3) time evolution and dynamics (Schrödinger, master equations, Monte Carlo), (4) open quantum systems with dissipation, (5) quantum measurements and entanglement, (6) visualization (Bloch sphere, Wigner functions), (7) steady states and correlation functions, or (8) advanced methods (Floquet theory, HEOM, stochastic solvers). Handles both closed and open quantum systems across various domains including quantum optics, quantum computing, and condensed matter physics.
The copies from zLanqing/codex-claude-academic-skills and benchflow-ai/skillsbench are nearly identical, providing a general overview, quick start, and common workflows for QuTiP. However, the copy from K-Dense-AI/scientific-agent-skills is a significantly more rigorous, version-specific (QuTiP 5.3.1) guide that includes critical 'non-negotiable model contract' steps (units, tensor order, state validity, convergence checks) and corrects misconceptions about optional packages (e.g., clarifying that qutip-qtrl is for optimal control, not just a viewer). The general copies lack these safety and reproducibility constraints, while the rigorous copy lacks the broad 'common workflows' examples found in the others. Combining them yields a skill that is both comprehensive in examples and rigorous in execution.