43 citations · 523 across the 49 of their papers we have counts for
5 papers · 1 filter
The predictive power of the Blockhain transaction networks: Towards a new generation of network science market indicators
Mar Grande, Florentino Borondo, Javier Borondo
Currently cryptocurrencies and Decentralized Finance (DeFi), which enable financial services on public blockchains, represents a new growing trend in finance. In contrast to financ…
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…
Hybrid quantum-classical convolutional neural networks to improve molecular protein binding affinity predictions
L. Domingo, M. Djukic, C. Johnson +1
One of the main challenges in drug discovery is to find molecules that bind specifically and strongly to their target protein while having minimal binding to other proteins. By pre…
Taking advantage of noise in quantum reservoir computing
L. Domingo, G. Carlo, F. Borondo
The biggest challenge that quantum computing and quantum machine learning are currently facing is the presence of noise in quantum devices. As a result, big efforts have been put i…
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…