4 papers
From Cables to Qubits: A Decomposed Variational Quantum Optimization Pipeline
Paul-Niklas Ken Kandora, Adrian Asmund Fessler, Robert Fabian Lindermann +3
The Cable Routing Optimization Problem (CROP) is a Multi-Commodity Flow Problem (MCFP) central to industrial layouts and smart manufacturing. Historically, quantum optimization has…
SPHERE: Spherical partitioning for large-scale routing optimization
Robert Fabian Lindermann, Paul-Niklas Ken Kandora, Simon Caspar Zeller +2
We study shortest-path routing in large weighted, undirected graphs, where expanding search frontiers raise time and memory costs for exact solvers. We propose \emph{SPHERE}, a que…
LinearizeLLM: An Agent-Based Framework for LLM-Driven Exact Linear Reformulation of Nonlinear Optimization Problems
Paul-Niklas Ken Kandora, Simon Caspar Zeller, Aaron Jeremias Elsing +2
Reformulating nonlinear optimization problems into solver-ready linear optimization problems is often necessary for practical applications, but the process is often manual and requ…
Automated Market Makers: A Stochastic Optimization Approach for Profitable Liquidity Concentration
Simon Caspar Zeller, Paul-Niklas Ken Kandora, Daniel Kirste +3
Concentrated liquidity automated market makers (AMMs), such as Uniswap v3, enable liquidity providers (LPs) to earn liquidity rewards by depositing tokens into liquidity pools. How…