11 citations · 31 across the 8 of their papers we have counts for
3 papers · 1 filter
Engineering non-Markovianity from defect-phonon interactions
Francisco J. González, Diego Tancara, Hossein T. Dinani +2
Understanding defect-phonon interactions in solid-state devices is crucial for improving our current knowledge of quantum platforms. In this work, we develop first-principles calcu…
Kernel-based quantum regressor models learn non-Markovianity
Diego Tancara, Hossein T. Dinani, Ariel Norambuena +2
Quantum machine learning is a growing research field that aims to perform machine learning tasks assisted by a quantum computer. Kernel-based quantum machine learning models are pa…
Estimating the degree of non-Markovianity using variational quantum circuits
Hossein T. Dinani, Diego Tancara, Felipe F. Fanchini +2
Several applications of quantum machine learning (QML) rely on a quantum measurement followed by training algorithms using the measurement outcomes. However, recently developed QML…