2 citations · 3 across the 9 of their papers we have counts for
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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…
Exploring Quantum Active Learning for Materials Design and Discovery
Maicon Pierre Lourenço, Hadi Zadeh-Haghighi, Jiří Hostaš +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…
Master equation-based model for infrared-based magnetometry with nitrogen-vacancy centers in diamond cavities: a path to sub-picotesla sensitivity at sub-millimeter scales
Hadi Zadeh-Haghighi, Omid Golami, Vinaya Kumar Kavatamane +2
Our study aims to increase the spatial resolution of high-sensitivity magnetometry based on singlet-transition infrared (IR) absorption using nitrogen-vacancy (NV) centers in diamo…
Hypomagnetic field effects as a potential avenue for testing the radical pair mechanism in biology
Hadi Zadeh-Haghighi, Rishabh Rishabh, Christoph Simon
Near-zero magnetic fields, called hypomagnetic fields, are known to impact biological phenomena, including developmental processes, the circadian system, neuronal and brain activit…