3 papers
quant-ph2025
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…
physics.ed-ph2025
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…
quant-ph2024
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…