2 citations · 2 across the 5 of their papers we have counts for
5 papers
A hybrid classical-quantum approach to highly constrained Unit Commitment problems
Bruna Salgado, André Sequeira, Luis Paulo Santos
The unit commitment (UC) problem stands as a critical optimization challenge in the electrical power industry. It is classified as NP-hard, placing it among the most intractable pr…
A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning
Hamed Gholipour, Farid Bozorgnia, Kailash Hambarde +5
Laplacian learning method is a well-established technique in classical graph-based semi-supervised learning, but its potential in the quantum domain remains largely unexplored. Thi…
Trainability issues in quantum policy gradients
André Sequeira, Luis Paulo Santos, Luis Soares Barbosa
This research explores the trainability of Parameterized Quantum circuit-based policies in Reinforcement Learning, an area that has recently seen a surge in empirical exploration.…
Empowering Credit Scoring Systems with Quantum-Enhanced Machine Learning
Javier Mancilla, André Sequeira, Tomas Tagliani +2
Quantum Kernels are projected to provide early-stage usefulness for quantum machine learning. However, highly sophisticated classical models are hard to surpass without losing inte…
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…