8 citations · 14 across the 9 of their papers we have counts for
6 papers · 1 filter
Taking Advantage of Noise in Distributed Random Quantum Circuits
J. Montes, F. Borondo, Gabriel G. Carlo
Adding noise can make a random quantum circuit look faster without making its unitary dynamics more random. This distinction is especially relevant in modular processors, where loc…
Unveiling Semiclassical Structures in Quantum Chaotic Eigenstates Using Neural Networks
J. Montes, F. Borondo, Gabriel G. Carlo
Physics-informed neural networks and neural quantum states have consolidated a new paradigm to analyze and discover physical phenomena through constrained neural parametrizations.…
Universal Configuration for Optimizing Complexity in Variational Distributed Quantum Circuits
J. Montes, F. Borondo, Gabriel G. Carlo
Distributed quantum computing represents at present one of the most promising approaches to scaling quantum processors. Current implementations typically partition circuits into mu…
Optimal multicore quantum computing with few interconnects
J. Montes, F. Borondo, Gabriel G. Carlo
Noisy intermediate-scale quantum processors have produced a quantum computation revolution in recent times. However, to make further advances new strategies to overcome the error r…
Exploring quantum localization with machine learning
J. Montes, Lenoardo Ermann, Alejandro M. F. Rivas +2
We introduce an efficient neural network (NN) architecture for classifying wave functions in terms of their localization. Our approach integrates a versatile quantum phase space pa…
Average localization of resonances on the quantum repeller
J. Montes, Gabriel G. Carlo, F. Borondo
There has been a very recent surge in the interest on the localization properties of resonances associated to partially open (scattering) systems, which are of great relevance when…