#!/usr/bin/env python # coding: utf-8 #
#
#

Index


#
#
# #
#
#

This index contains our collection of Jupyter notebooks # for introducing and demonstrating features of QuTiP. # Going through these notebooks should be a good way to get familiarized with the software. # If you are new to scientific computing with Python, you might also find it # useful to have a look at these IPython notebook # Lectures on scientific computing with Python. #

#

The following are the contents of this page:

# #
#
# # #
#
#

Example notebooks

#
#
# #
#
#

These notebooks demonstrate and introduce specific functionality in QuTiP. #

# #
#
# #
#
#

Python Introduction

# #

For a more in depth discussion see: Lectures on scientific computing with Python.

# #

Basics

# # #

Visualization

# # #

Quantum information processing

#

This section requires an additional package qutip-qip.

#
Quantum circuits
# # #
Pulse-level circuit simulation
# # # #
# #
# #

Time evolution

# # # #

Optimal control

# # #

Tomography

# #
#
# # #
#
#

Permutational invariant Lindblad dynamics

# #
#
# # #
#
#

Development notebooks

#

A collection of more technical development notebooks, which often focus on # testing and benchmarking various features of QuTiP, is available in # the development index. #

# #
#
# In[ ]: