2 citations · 4 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Heuristic-free Verification-inspired Quantum Benchmarking
Johannes Frank, Elham Kashefi, Dominik Leichtle +1
In this paper, we introduce a new approach to quantum benchmarking inspired by quantum verification motivating new paradigms of quantum benchmarking. Our proposed benchmark not onl…
Quantum advantage in temporally flat measurement-based quantum computation
Michael de Oliveira, Luís S. Barbosa, Ernesto F. Galvão
Several classes of quantum circuits have been shown to provide a quantum computational advantage under certain assumptions. The study of ever more restricted classes of quantum cir…