"Optimal Policies for Entanglement Generation and Distribution in Quantum Networks"

This internship focuses on designing and analyzing optimal strategies for the generation, management, and distribution of entangled qubits across heterogeneous quantum network nodes. The work involves modeling quantum network dynamics and exploring decision-making frameworks to improve efficiency and reliability. Emphasis is placed on optimizing resource allocation under realistic constraints such as noise, decoherence, and limited connectivity. The project may leverage tools from Quantum Information Theory and Reinforcement Learning to develop adaptive and scalable policies. The outcome aims to contribute to the development of robust quantum communication infrastructures.