3 citations · 5 across the 3 of their papers we have counts for
3 papers
stat.ME2024
Scalable computation of the maximum flow in large brain connectivity networks
Jingyun Qian, Georg Hahn
We are interested in computing an approximation of the maximum flow in large (brain) connectivity networks. The maximum flow in such networks is of interest in order to better unde…
cs.NE2023★ 2 cited
Sampling binary sparse coding QUBO models using a spiking neuromorphic processor
Kyle Henke, Elijah Pelofske, Georg Hahn +1
We consider the problem of computing a sparse binary representation of an image. To be precise, given an image and an overcomplete, non-orthonormal basis, we aim to find a sparse b…
quant-ph2023★ 3 cited
Posiform Planting: Generating QUBO Instances for Benchmarking
Georg Hahn, Elijah Pelofske, Hristo N. Djidjev
We are interested in benchmarking both quantum annealing and classical algorithms for minimizing Quadratic Unconstrained Binary Optimization (QUBO) problems. Such problems are NP-h…