3 citations · 9 across the 5 of their papers we have counts for
5 papers
Addressing the gravitational collapse of a massless scalar field with Physics-Informed Neural Networks
Antonio Ferrer-Sánchez, Nino Villanueva-Espinosa, Carlos Hernani Morales +4
The gravitational collapse of a massless scalar field remains a demanding benchmark for numerical methods in numerical relativity, as it exhibits critical behavior at the boundary…
Physics-Informed Neural Networks for an optimal counterdiabatic quantum computation
Antonio Ferrer-Sánchez, Carlos Flores-Garrigos, Carlos Hernani-Morales +7
We introduce a novel methodology that leverages the strength of Physics-Informed Neural Networks (PINNs) to address the counterdiabatic (CD) protocol in the optimization of quantum…
Machine Learning for maximizing the memristivity of single and coupled quantum memristors
Carlos Hernani-Morales, Gabriel Alvarado, Francisco Albarrán-Arriagada +3
We propose machine learning (ML) methods to characterize the memristive properties of single and coupled quantum memristors. We show that maximizing the memristivity leads to large…
An approach to interfacing the brain with quantum computers: practical steps and caveats
Eduardo Reck Miranda, Satvik Venkatesh, Jose D. Martın-Guerrero +3
We report on the first proof-of-concept system demonstrating how one can control a qubit with mental activity. We developed a method to encode neural correlates of mental activity…
Quantum Pattern Recognition in Photonic Circuits
Rui Wang, Carlos Hernani-Morales, José D. Martín-Guerrero +2
This paper proposes a machine learning method to characterize photonic states via a simple optical circuit and data processing of photon number distributions, such as photonic patt…