2 papers
quant-ph2024
Reducing measurement costs by recycling the Hessian in adaptive variational quantum algorithms
Mafalda Ramôa, Luis Paulo Santos, Nicholas J. Mayhall +2
Adaptive protocols enable the construction of more efficient state preparation circuits in variational quantum algorithms (VQAs) by utilizing data obtained from the quantum process…
quant-ph2024
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.…