3 papers
quant-ph2025
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, Luís 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…
quant-ph2024
On Quantum Natural Policy Gradients
André Sequeira, Luis Paulo Santos, Luis Soares Barbosa
This research delves into the role of the quantum Fisher Information Matrix (FIM) in enhancing the performance of Parameterized Quantum Circuit (PQC)-based reinforcement learning a…