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

8 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Fidelity-Aware Scheduling of Quantum Circuits on Multi-QPU Systems

Innocenzo Fulginiti, Antonio Tudisco, Salvatore Zammuto +7

High Performance Computing-Quantum Computing (HPCQC) platforms expose multiple Quantum Processing Units (QPUs) that may differ in size, topology, native gates, and noise characteri…

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…

quant-ph2025★ 1 cited

Graph Neural Network-Based Predictor for Optimal Quantum Hardware Selection

Antonio Tudisco, Deborah Volpe, Giacomo Orlandi +1

The growing variety of quantum hardware technologies, each with unique peculiarities such as connectivity and native gate sets, creates challenges when selecting the best platform…

cs.LG2025★ 7 cited

Quantum Machine Learning in Healthcare: Evaluating QNN and QSVM Models

Antonio Tudisco, Deborah Volpe, Giovanna Turvani

Effective and accurate diagnosis of diseases such as cancer, diabetes, and heart failure is crucial for timely medical intervention and improving patient survival rates. Machine le…

cs.LG2025★ 3 cited

Multi-VQC: A Novel QML Approach for Enhancing Healthcare Classification

Antonio Tudisco, Deborah Volpe, Giovanna Turvani

Accurate and reliable diagnosis of diseases is crucial in enabling timely medical treatment and enhancing patient survival rates. In recent years, Machine Learning has revolutioniz…