Develops and proves a Pontryagin-type maximum principle for control problems in free probability using controlled forward equations and free backward SDEs.
Introduction to the Pontryagin Maximum Principle for Quantum Optimal Control
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Small 7B reasoning models were fine-tuned on synthetic and curated QFT problems using RL and SFT, yielding performance gains, error analysis, and public release of data and traces.
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Pontryagin Maximum Principle in Free Probability Theory
Develops and proves a Pontryagin-type maximum principle for control problems in free probability using controlled forward equations and free backward SDEs.
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Fine-Tuning Small Reasoning Models for Quantum Field Theory
Small 7B reasoning models were fine-tuned on synthetic and curated QFT problems using RL and SFT, yielding performance gains, error analysis, and public release of data and traces.