5 papers
Assessing the Advantages and Limitations of Quantum Neural Networks in Regression Tasks
Gubio G. de Limaa, Tiago de S. Farias, Alexandre C. Ricardo +1
The development of quantum neural networks (QNNs) has attracted considerable attention due to their potential to surpass classical models in certain machine learning tasks. Nonethe…
Inverse Physics-informed neural networks procedure for detecting noise in open quantum systems
Gubio G. de Lima, Iann Cunha, Leonardo Kleber Castelano
Accurate characterization of quantum systems is essential for the development of quantum technologies, particularly in the noisy intermediate-scale quantum (NISQ) era. While tradit…
An introduction to Neural Networks for Physicists
G. Café de Miranda, Gubio G. de Lima, Tiago de S. Farias
Machine learning techniques have emerged as powerful tools to tackle various challenges. The integration of machine learning methods with Physics has led to innovative approaches i…
MixFunn: A Neural Network for Differential Equations with Improved Generalization and Interpretability
Tiago de Souza Farias, Gubio Gomes de Lima, Jonas Maziero +1
We introduce MixFunn, a novel neural network architecture designed to solve differential equations with enhanced precision, interpretability, and generalization capability. The arc…
Quantum computation over the vibrational modes of a single trapped ion
Alexandre C. Ricardo, Gubio G. de Lima, Amanda G. Valério +2
Continuous-variable quantum computing utilizes continuous parameters of a quantum system to encode information, promising efficient solutions to complex problems. Trapped-ion syste…