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quant-ph2025
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…
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…
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…