411 citations · 1.2k across the 21 of their papers we have counts for
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hep-ph2022★ 15 cited
Fitting a Collider in a Quantum Computer: Tackling the Challenges of Quantum Machine Learning for Big Datasets
Miguel Caçador Peixoto, Nuno Filipe Castro, Miguel Crispim Romão +2
Current quantum systems have significant limitations affecting the processing of large datasets with high dimensionality, typical of high energy physics. In the present paper, feat…
hep-ph2022★ 18 cited
Exploring Parameter Spaces with Artificial Intelligence and Machine Learning Black-Box Optimisation Algorithms
Fernando Abreu de Souza, Miguel Crispim Romão, Nuno Filipe Castro +2
Constraining Beyond the Standard Model theories usually involves scanning highly multi-dimensional parameter spaces and check observable predictions against experimental bounds and…