4 citations · 4 across the 2 of their papers we have counts for
2 papers
quant-ph2026
Machine learning development for quantum computing and neutrino physics
Annalisa De Lorenzis
This thesis investigates the application of machine-learning methods in the context of quantum computing and neutrino physics, with particular emphasis on the construction of effec…
hep-ex2019★ 4 cited
Future Opportunities in Accelerator-based Neutrino Physics
Andrea Dell'Acqua, Antoni Aduszkiewicz, Markus Ahlers +140
This document summarizes the conclusions of the Neutrino Town Meeting held at CERN in October 2018 to review the neutrino field at large with the aim of defining a strategy for acc…