14 citations · 24 across the 3 of their papers we have counts for
3 papers
quant-ph2023
Quantum Kernel Estimation With Neutral Atoms For Supervised Classification: A Gate-Based Approach
Marco Russo, Edoardo Giusto, Bartolomeo Montrucchio
Quantum Kernel Estimation (QKE) is a technique based on leveraging a quantum computer to estimate a kernel function that is classically difficult to calculate, which is then used b…
nucl-ex2022★ 14 cited
Modeling Heavy-Ion Fusion Cross Section Data via a Novel Artificial Intelligence Approach
Daniele Dell'Aquila, Brunilde Gnoffo, Ivano Lombardo +2
We perform a comprehensive analysis of complete fusion cross section data with the aim to derive, in a completely data-driven way, a model suitable to predict the integrated cross…
nucl-ex2020★ 10 cited
Automatic classification of nuclear physics data via a Constrained Evolutionary Clustering approach
D. Dell'Aquila, M. Russo
This paper presents an automatic method for data classification in nuclear physics experiments based on evolutionary computing and vector quantization. The major novelties of our a…