Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization

no code implementations • 13 May 2024 • Georg Kruse, Rodrigo Coehlo, Andreas Rosskopf, Robert Wille, Jeanette Miriam Lorenz

We model our ansatzes directly on the combinatorial optimization problem's Hamiltonian formulation, which allows us to apply our approach to a broad class of problems.

Combinatorial Optimization reinforcement-learning

Parameter Optimization of LLC-Converter with multiple operation points using Reinforcement Learning

no code implementations • 28 Feb 2023 • Georg Kruse, Dominik Happel, Stefan Ditze, Stefan Ehrlich, Andreas Rosskopf

The optimization of electrical circuits is a difficult and time-consuming process performed by experts, but also increasingly by sophisticated algorithms.

reinforcement-learning Reinforcement Learning (RL)