6 citations · 20 across the 8 of their papers we have counts for
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astro-ph.IM2022
Gamma-hadron Separation in Imaging Atmospheric Cherenkov Telescopes using Quantum Classifiers
Jashwanth S, Sudeep Ghosh, Neha Shah +2
In this paper we have introduced a novel method for gamma hadron separation in Imaging Atmospheric Cherenkov Telescopes (IACT) using Quantum Machine Learning. IACTs captures images…
quant-ph2022★ 5 cited
Study of Feature Importance for Quantum Machine Learning Models
Aaron Baughman, Kavitha Yogaraj, Raja Hebbar +3
Predictor importance is a crucial part of data preprocessing pipelines in classical and quantum machine learning (QML). This work presents the first study of its kind in which feat…