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Thomas Gabor

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#reinforcement learning Open access Aug 2026

Emergent problem-graph alignment in RL-discovered entanglement topologies for QAOA

In the Quantum Approximate Optimization Algorithm (QAOA), the entanglement topology, where qubit pairs are connected by two-qubit gates, is conventionally set equal to the edge set of the problem graph. This coupling ties circuit design to explicit problem knowledge and may not yield the most trainable circuit under li...

Tobias Rohe, Federico Harjes Ruiloba, Markus Baumann et al. · 0 citations
Book Open access Jul 2026

Towards Variation via Foundation Model: An Empirical Study of a Problem-Agnostic No-Code LLM-Guided Evolutionary Algorithm

The natural-language-based genetic algorithm (NaLaGA) shows that a generic, problem-independent genetic algorithm (GA) can function by utilizing large language models (LLMs) for all interactions with the solution candidates without ever running any LLM-generated code. We analyze inherent biases in the function of a NaL...

Sarah Gerner, Gerhard Stenzel, Thomas Gabor · 0 citations

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