1 citations · 1 across the 8 of their papers we have counts for
9 papers
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.…
On the question of noise as a resource in quantum computing
J. Montes, F. Borondo, Gabriel G. Carlo
Noise is usually regarded as the main obstacle to achieving a scalable quantum advantage, but recent evidence in quantum reservoir computing [L. Domingo, F. Borondo, and G. G. Carl…
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…
The simplest 2D quantum walk detects chaoticity
C. Alonso-Lobo, Gabriel G. Carlo, F. Borondo
Quantum walks are at present an active field of study in mathematics, with important applications in quantum information and statistical physics. In this paper, we determine the in…
Optimal complexity of parameterized quantum circuits
Guilherme Ilário Correr, Pedro C. Azado, Diogo O. Soares-Pinto +1
Parameterized quantum circuits play a key role for the development of quantum variational algorithms in the realm of the NISQ era. Knowing their actual capability of performing dif…
Optimal quantum reservoir computing for market forecasting: An application to fight food price crises
L. Domingo, M. Grande, G. Carlo +2
The emerging technology of quantum reservoir computing (QRC) stands out in the noisy-intermediate scale quantum era (NISQ) for its exceptional efficiency and adaptability. By harne…
Quantum reservoir complexity by Krylov evolution approach
Laia Domingo, F. Borondo, Gastón Scialchi +3
Quantum reservoir computing algorithms recently emerged as a standout approach in the development of successful methods for the NISQ era, because of its superb performance and comp…