QuTiP: Quantum Toolbox in Python
4.1
Frontmatter
Installation
Users Guide
Guide Overview
Basic Operations on Quantum Objects
Manipulating States and Operators
Using Tensor Products and Partial Traces
Time Evolution and Quantum System Dynamics
Dynamics Simulation Results
Lindblad Master Equation Solver
Monte Carlo Solver
Bloch-Redfield master equation
Solving Problems with Time-dependent Hamiltonians
Floquet Formalism
Setting Options for the Dynamics Solvers
Solving for Steady-State Solutions
An Overview of the Eseries Class
Two-time correlation functions
Quantum Optimal Control
Plotting on the Bloch Sphere
Visualization of quantum states and processes
Parallel computation
Saving QuTiP Objects and Data Sets
Generating Random Quantum States & Operators
Modifying Internal QuTiP Settings
API documentation
Change Log
Developers
Bibliography
QuTiP: Quantum Toolbox in Python
Docs
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Users Guide
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Time Evolution and Quantum System Dynamics
Time Evolution and Quantum System Dynamics
ΒΆ
Dynamics Simulation Results
The solver.Result Class
Accessing Result Data
Saving and Loading Result Objects
Lindblad Master Equation Solver
Unitary evolution
Non-unitary evolution
The Lindblad Master equation
Monte Carlo Solver
Introduction
Monte Carlo in QuTiP
Bloch-Redfield master equation
Introduction
Brief Derivation and Definitions
Bloch-Redfield master equation in QuTiP
Solving Problems with Time-dependent Hamiltonians
Methods for Writing Time-Dependent Operators
Function Based Time Dependence
String Format Method
Modeling Non-Analytic and/or Experimental Time-Dependent Parameters using Interpolating Functions
Reusing Time-Dependent Hamiltonian Data
Running String-Based Time-Dependent Problems using Parfor
Floquet Formalism
Introduction
Floquet theory for unitary evolution
Floquet theory for dissipative evolution
Setting Options for the Dynamics Solvers