activity
20202025
most citedA Performance Study of Variational Quantum Algorithms for Solving the Poisson Equation on a Quantum Computer

29 citations · 31 across the 4 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2025

Performance Benchmarking of Tensor Trains for accelerated Quantum-Inspired Homogenization on TPU, GPU and CPU architectures

Sascha H. Hauck, Matthias Kabel, Nicolas R. Gauger

Recent advances in high-resolution CT-imaging technology are creating a new class of ultra-high resolved microstructural datasets that challenge the limits of traditional homogeniz…

quant-ph2022★ 29 cited

A Performance Study of Variational Quantum Algorithms for Solving the Poisson Equation on a Quantum Computer

Mazen Ali, Matthias Kabel

Recent advances in quantum computing and their increased availability has led to a growing interest in possible applications. Among those is the solution of partial differential eq…

math.NA2022

QFT-based Homogenization

Felix Givois, Matthias Kabel, Nicolas Gauger

Efficient numerical characterization is a key problem in composite material analysis. To follow accuracy improvement in image tomography, memory efficient methods of numerical char…

math.NA2022★ 2 cited

FFT-based Homogenization at Finite Strains using Composite Boxels (ComBo)

Sanath Keshav, Felix Fritzen, Matthias Kabel

Computational homogenization is the gold standard for concurrent multi-scale simulations (e.g., FE2) in scale-bridging applications. Experimental and synthetic material microstruct…

cs.CE2020

AutoMat -- Automatic Differentiation for Generalized Standard Materials on GPUs

Johannes Blühdorn, Nicolas R. Gauger, Matthias Kabel

We propose a universal method for the evaluation of generalized standard materials that greatly simplifies the material law implementation process. By means of automatic differenti…