@@ -5,18 +5,27 @@ Kwant is a Python package for numerical calculations on tight-binding models
with a strong focus on quantum transport. It is designed to be flexible, easy to
use, while not sacrificing performance.
Its flexibility is illustrated below by showcasing some of its applications. How
easy it is to use is shown in the `tutorial </docs/tutorial/>`_, and finally its
performance was carefully tested.
Tight-binding models are ubiquitous in quantum physics and they can be found in a vast variety of
situations including graphene, quantum Hall effect, topological insulators, superconductivity, semi-conductors,
spintronics, molecular electronics, any combination of the above and many other cases.
While all these systems have very distinct physics, their mathematical description is very close.
Kwant has been designed so that their computer implementation be also very close: changing a few lines of code is all that is needed to go from one example to another.
Kwant does not use the traditional ‘input' files often found in scientific softwares. Instead, one write small python
programs (benefiting from python simple and very powerful syntax) to "make" the sample and "measure" its quantum properties
(conductance, density of states, etc). Learning to use Kwant is very fast, no more than a couple of hours to get started.
How easy it is to use in practice is shown in the `tutorial </docs/tutorial/>`_ or in Kwant main 'article </paper>‘_.
The few examples shown in the image below illustrate a few recent applications:
* conductance of a Corbino disk in a quantum Hall regime (upper left)
* A piece of bilayer graphene lattice (lower left)
* Density of states in a chaotic stadium billiard (middle)
* A quantum wire (gray) attached to a superconducting electrode (blue) give rise to a Majorana bound states
which can be seen in the spectrum of the device (upper and lower right).
.. image:: collage.png
:scale: 30%
:target: collage.png
Image: various applications of kwant:
* conductance of a Corbino disk in a quantum Hall regime
* A piece of bilayer graphene lattice
* Density of states in a chaotic stadium billiard
* A quantum wire with a proximity superconductor, and the Majorana states
