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.
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Excellent quantum mechanics simulation skill with comprehensive coverage of QuTiP capabilities. The description clearly enumerates 8 specific use cases enabling precise skill invocation. Structure is exemplary - SKILL.md provides clear overview with working examples while detailed documentation lives in 5 well-organized reference files. Task knowledge is outstanding with installation guides, quick start, multiple complete workflows (damped oscillator, Bell states, Jaynes-Cummings), solver selection guidance, and practical optimization tips. The skill provides substantial value by packaging complex quantum simulation knowledge that would require extensive prompting for a CLI agent to replicate, including solver selection logic, proper operator construction, and domain-specific workflows. Minor improvement possible in description specificity around when to use different solvers, but overall this is a very high-quality, production-ready skill.
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