lib-qutip

Simulate and analyze quantum mechanical systems with the qutip Python toolbox.

Updated Mar 13, 2026
One-click install
npx skills add https://github.com/biomaps-infra/blender-opencode --skill lib-qutip
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lib-qutip
Source: https://github.com/biomaps-infra/blender-opencode/tree/main/.opencode/skills/lib-qutip
Command: npx skills add https://github.com/biomaps-infra/blender-opencode --skill lib-qutip

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive Python toolbox for simulating and analyzing quantum mechanical systems, particularly open quantum systems, saving researchers and students significant development time.

Core Features & Use Cases

  • Quantum Simulation: Simulate dynamics of both closed (unitary) and open (dissipative) quantum systems.
  • Analysis Tools: Compute expectation values, entropy, fidelity, and correlation functions.
  • Visualization: Generate Bloch spheres, Wigner functions, and Fock distributions.
  • Use Case: A quantum physicist can use this Skill to simulate the decoherence of a qubit under environmental noise, analyze the resulting entanglement decay, and visualize the state evolution on a Bloch sphere.

Quick Start

Use the lib-qutip skill to simulate the time evolution of a quantum state under a given Hamiltonian and collapse operators.

Frequently Asked Questions about lib-qutip

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I simulate open quantum system dynamics in Python?

To simulate open quantum system dynamics, you can use this Python toolbox to solve master equations and model dissipative behavior by defining Hamiltonians and collapse operators for your qubit or cavity QED setup.

What is the best way to visualize a qubit state evolution on a Bloch sphere?

Visualizing qubit state evolution on a Bloch sphere is done by passing simulated density matrices to the built-in visualization tools, which also render Wigner functions and Fock distributions for quantum optics analysis.

How do I calculate expectation values and entanglement decay for a simulated quantum state?

Calculating expectation values and entanglement decay involves applying the analysis functions to the output state vectors from your simulation, allowing you to track entropy, fidelity, and correlation functions over time.

Can I use this to simulate both unitary and dissipative quantum dynamics?

Yes, you can simulate both unitary and dissipative quantum dynamics, as the toolbox provides dedicated solvers for closed system evolution and open system trajectories under environmental noise.

Do I need to install the qutip package separately to simulate Floquet theory and quantum trajectories?

Yes, you need to install the qutip package separately, as this Skill provides the processing logic and references for Floquet theory and quantum trajectories but requires the underlying library in your Python environment.