My name is Adrian Nosek, I am a graduate student at the University of California Riverside in Condensed Matter Physics, and I was wondering whether there are any plans to extend Kwant and let it run on parallel machines, so that systems of bigger sample size could be modeled?

I attempted to calculate the conductivity of a sample with 200000 atoms (I believe that's what it was but its been a while since I ran the simulation) and this is where my machine ran out of RAM.

I really like the idea of simulating my experiment using Kwant, but is there any advantage to model let's say a 4 by 20 micron size system using Kwant vs a classical approach? I believe the mean free paths of electrons in graphene can easily reach micron-long pathways in high mobility graphene-hBN sandwiches, so that is the reason why I am asking.

Also, would it make any sense to implement such a simulation in the context of Big Data Analysis, where analysis is performed on parallel working machines where one could diagonalize such a big Hamiltonian, e.g. using Apache Spark?

Thanks for your answers,

Adrian