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
Unconditionally separating noisy from bounded polynomial threshold circuits of constant depth
Min-Hsiu Hsieh, Leandro Mendes, Michael de Oliveira +1
The rapid evolution of quantum devices fuels concerted efforts to experimentally establish quantum advantage over classical computing. Many demonstrations of quantum advantage, how…
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…