2 papers
quant-ph2024
Quantum Active Learning for Structural Determination of Doped Nanoparticles -- a Case Study of 4Al@Si
Maicon Pierre Lourenço, Mosayeb Naseri, Lizandra Barrios Herrera +4
Active learning (AL) has been widely applied in chemistry and materials science. In this work we propose a quantum active learning (QAL) method for automatic structural determinati…
quant-ph2024
Exploring Quantum Active Learning for Materials Design and Discovery
Maicon Pierre Lourenço, Hadi Zadeh-Haghighi, JiÅà HostaÅ¡ +4
The meeting of artificial intelligence (AI) and quantum computing is already a reality; quantum machine learning (QML) promises the design of better regression models. In this work…