Agent skill · research science · aiskillstore
qutip
Quantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, decoherence, quantum optics, or cavity QED. Best for physics research, open system dynamics, and educational simulations. NOT for circuit-based quantum computing—use qiskit, cirq, or pennylane for quantum algorithms and hardware execution.
Why this skill is useful
Provides domain-specific knowledge and commands for simulating open quantum systems that the AI wouldn't reliably generate on its own.
What it needs
Requires qutip installed locally. About 5k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
QuTiP: Quantum Toolbox in Python Overview QuTiP provides comprehensive tools for simulating and analyzing quantum mechanical systems. It handles both closed (unitary) and open (dissipative) quantum systems with multiple solvers optimized for different scenarios. Installation Optional packages for additional functionality: Quick Start Core Capabilities 1. Quantum Objects and States Create and manipulate quantum states and operators: See references/coreconcepts.md for comprehensive coverage of quantum objects, states, operators, and tensor products. 2. Time Evolution and Dynamics Multiple solvers for different scenarios: Solver selection guide: sesolve: Pure states, unitary evolution mesolve: Mixed states, dissipation, general open systems mcsolve: Quantum jumps, photon counting, individual trajectories brmesolve: Weak system-bath coupling fmmesolve: Time-periodic Hamiltonians (Floquet) See references/timeevolution.md for detailed solver documentation, time-dependent Hamiltonians, and advanced options. 3. Analysis and Measurement Compute physical quantities: See references/analysis.md for entropy, fidelity, measurements, correlation functions, and steady state calculations. 4. Visualization Visualize quantum states and dynamics: See references/visualization.md for Bloch sphere animations, Wigner functions, Q-functions, and matrix visualizations. 5. Advanced Methods Specialized techniques for complex scenarios: See references/advanced.md for Floquet theory, HEOM, permutational invariance, stochastic solvers, superoperators, and performance optimization. Common Workflows Simulating a Damped Harmonic Oscillator Two-Qubit Entanglement Dynamics Jaynes-Cummings Model Tips for Efficient Simulations 1. Truncate Hilbert spaces: Use smallest dimension that captures dynamics 2. Choose appropriate solver: sesolve for pure states is faster than mesolve 3. Time-dependent terms: String format (e.g., 'cos(wt)') is fastest 4. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/qutip--6cc54f