Noise classification in three-level quantum networks by Machine Learning
S Mukherjee, D Penna, F Cirinnà… - Machine Learning …, 2024 - iopscience.iop.org
We investigate a machine learning based classification of noise acting on a small quantum
network with the aim of detecting spatial or multilevel correlations, and the interplay with …
network with the aim of detecting spatial or multilevel correlations, and the interplay with …
Ramsey interferometry of nuclear spins in diamond using stimulated Raman adiabatic passage
S Lourette, A Jarmola, J Chathanathil… - Quantum Science …, 2024 - iopscience.iop.org
We report the first experimental demonstration of stimulated Raman adiabatic passage
(STIRAP) in nuclear-spin transitions of 14 N within nitrogen-vacancy color centers in …
(STIRAP) in nuclear-spin transitions of 14 N within nitrogen-vacancy color centers in …
Noise classification in small quantum networks by Machine Learning
S Mukherjee, D Penna, F Cirinnà, M Paternostro… - arXiv preprint arXiv …, 2024 - arxiv.org
We investigate machine learning-based noise classification aimed at the recognition of the
Markovian character of a dynamics and the identification of correlations of classical noise, as …
Markovian character of a dynamics and the identification of correlations of classical noise, as …
Dynamically Enhanced Two-Photon Spectroscopy
SC Carrasco, S Lourette, I Sola… - arXiv preprint arXiv …, 2024 - arxiv.org
A novel quantum control protocol utilizing two-photon processes with trigonometric pulse
modulation is developed, enabling the intermediate state population's dynamic elimination …
modulation is developed, enabling the intermediate state population's dynamic elimination …