Explore projects

VBC MRI Pipeline

Ubuntu images for vagrant

A userguide for Jülich DATA

How do you encode combinatorial optimization problems when they have inequality constraints on quantum computers? well, the usual approach is using slack variables. But, this approach is quite expensive and makes the search for possible solutions even harder. In this work, https://arxiv.org/abs/2211.13914, we present “unbalanced penalization” a new approach to encode the inequality constraints of combinatorial optimization problems.

Postprocessing routines to evaluate the results of the analysis of emission factors within the UBA project

MPI based parallel processing library for python

C and Java library for units of the TWU data. This provides convienient conversions and handling of data at different scales in combination with TWUget.

Client for easy access to TEXTOR data from within MatLab. Needs Java installed!

Collection of software tools for the scientific community to facilitate access to and processing of TOAR data