Følg
André Sequeira
André Sequeira
PhD researcher in Quantum Computing, International Nanotechnology Laboratory (INL, Portugal)
Verificeret mail på alunos.uminho.pt
Titel
Citeret af
Citeret af
År
Policy Gradients using Variational Quantum Circuits
A Sequeira, LP Santos, LS Barbosa
Quantum Mach. Intell. 5, 18 (2023). https://doi.org/10.1007/s42484-023-00101-8, 2022
23*2022
VQC-based reinforcement learning with data re-uploading: performance and trainability
R Coelho, A Sequeira, L Paulo Santos
Quantum Machine Intelligence 6 (2), 53, 2024
82024
Trainability issues in quantum policy gradients
A Sequeira, LP Santos, LS Barbosa
arXiv preprint arXiv:2406.09614, 2024
32024
On Quantum Natural Policy Gradients
A Sequeira, LP Santos, LS Barbosa
arXiv preprint arXiv:2401.08307, 2024
32024
Quantum tree-based planning
A Sequeira, LP Santos, LS Barbosa
IEEE Access 9, 125416-125427, 2021
22021
Generalised quantum tree search
A Sequeira, LP Santos, LS Barbosa
2021 IEEE/ACM 2nd International Workshop on Quantum Software Engineering (Q …, 2021
12021
A hybrid classical-quantum approach to highly constrained Unit Commitment problems
B Salgado, A Sequeira, LP Santos
arXiv preprint arXiv:2412.11312, 2024
2024
Trainability issues in quantum policy gradients with softmax activations
A Sequeira, LP Santos, LS Barbosa
2024 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2024
2024
A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning
H Gholipour, F Bozorgnia, K Hambarde, H Mohammadigheymasi, ...
arXiv preprint arXiv:2408.05498, 2024
2024
Empowering Credit Scoring Systems with Quantum-Enhanced Machine Learning
J Mancilla, A Sequeira, T Tagliani, F Llaneza, C Beiza
arXiv preprint arXiv:2404.00015, 2024
2024
VQC-based reinforcement learning with data re-uploading: performance and trainability
LP Santos, AM Sequeira
2024
Quantum-enhanced reinforcement learning
AMR Sequeira
2021
Systemet kan ikke foretage handlingen nu. Prøv igen senere.
Artikler 1–12