most citedEvaluating Angle and Amplitude Encoding Strategies for Variational Quantum Machine Learning: their impact on model's accuracy

8 citations · 8 across the 1 of their papers we have counts for

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cs.LG2025★ 8 cited

Evaluating Angle and Amplitude Encoding Strategies for Variational Quantum Machine Learning: their impact on model's accuracy

Antonio Tudisco, Andrea Marchesin, Maurizio Zamboni +2

Recent advancements in Quantum Computing and Machine Learning have increased attention to Quantum Machine Learning (QML), which aims to develop machine learning models by exploitin…