165 citations · 1k across the 16 of their papers we have counts for
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nlin.CD2019★ 71 cited
Machine learning algorithms for predicting the amplitude of chaotic laser pulses
Pablo Amil, Miguel C. Soriano, Cristina Masoller
Forecasting the dynamics of chaotic systems from the analysis of their output signals is a challenging problem with applications in most fields of modern science. In this work, we…
quant-ph2019★ 12 cited
Machine learning applied to quantum synchronization-assisted probing
Gabriel Garau Estarellas, Gian Luca Giorgi, Miguel C. Soriano +1
A probing scheme is considered with an accessible and controllable qubit, used to probe an out-of equilibrium system consisting of a second qubit interacting with an environment. Q…