3 papers
math.OC2026
Computational acceleration strategies for large-scale energy system optimization: a comparative study of GPU-accelerated and distributed-memory solvers
Janina Zittel, Annika Buchholz, Michael Bussieck +5
Energy system optimization models are increasing in scope and resolution, yielding large and challenging linear programs. For a long time, the standard way to address such problems…
math.OC2025
Benchmarking of quantum and classical SDP relaxations for QUBO formulations of real-world logistics problems
Birte Ostermann, Taylor Garnowski, Fabian Henze +7
Quadratic unconstrained binary optimization problems (QUBOs) are intensively discussed in the realm of quantum computing and polynomial optimization. We provide a vast experimental…
quant-ph2024
Hybrid Meta-Solving for Practical Quantum Computing
Domenik Eichhorn, Maximilian Schweikart, Nick Poser +3
The advent of quantum algorithms has initiated a discourse on the potential for quantum speedups for optimization problems. However, several factors still hinder a practical realiz…