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quant-ph2026
Quantum Bayesian Networks Can Speed up Reinforcement Learning in Partially Observable Environments
Gilberto Cunha, Alexandra Ramôa, André Sequeira +2
Reinforcement learning (RL) provides a principled framework for decision-making in partially observable environments, which can be modeled as Markov decision processes and compactl…
quant-ph2024
Bridging Resource Theory and Quantum Key Distribution: Geometric Analysis and Statistical Testing
Andrea D'Urbano, Michael de Oliveira, LuÃs Soares Barbosa
Discerning between quantum and classical correlations is of great importance. Bell polytopes are well established as a fundamental tool. In this paper, we extend this line of inqui…