qocttools

[Version 0.0.13]

qocttools is a python package that implements quantum optimal control theory (QOCT).

You may download it from its gitlab page. See the Installation section for instructions about how to install the code.

It solves typical optimization problems defined on generic quantum systems. These may be closed (described by the Schrödinger equation) or open (described by Lindblad’s equation). It relies heavily on the QuTiP program to handle internally the quantum objects representation, manipulation, etc., and on the nlopt library for function optimization algorithms.

Installation instructions are given in the Installation section. For a generic introduction about what is the goal of this program, see the Introduction. The next step would be to follow the Tutorials.

Contents:

• 1. Introduction
  • 1.1. Optimization of initial value problems
  • 1.2. Floquet optimizations
  • 1.3. Multi-target problems
• 2. Installation
  • 2.1. For users
  • 2.2. For developers
• 3. Method
  • 3.1. Closed systems, Hilbert state propagations
  • 3.2. Closed systems, evolution operator propagations
  • 3.3. Open systems, density matrix propagations
  • 3.4. Floquet optimizations: closed systems
  • 3.5. FLoquet optimizations: non-equilibrium steady states
  • 3.6. Parametrization and Optimization
• 4. Tutorials
• 5. Articles created with the help of qocttools
• 6. Modules
  • 6.1. hamitonians
  • 6.2. qoct
  • 6.3. pulses
  • 6.4. solvers
  • 6.5. target
  • 6.6. floquet
  • 6.7. krotov
  • 6.8. math_extra
• 7. Bibliography

Indices and tables

• Index

• Module Index

• Search Page