8 citations · 26 across the 9 of their papers we have counts for
9 papers
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…
Lagrange: Operating Italy's First Publicly-Accessible Quantum Computer for Research and Education
Paolo Viviani, Fabrizio Bertone, Giacomo Vitali +14
We describe the design, implementation, and nine-month operational experience of the software management stack for Lagrange, an IQM Spark five-qubit superconducting quantum compute…
A Quantum-Compliant Formulation for Network Epidemic Control
Lorenzo Zino, Mattia Boggio, Deborah Volpe +3
We deal with controlling the spread of an epidemic disease on a network by isolating one or multiple locations by banning people from leaving them. To this aim, we build on the sus…
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…
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…
A Quantum Approach for Optimal Transient Control in Network-Based Epidemic Models
Deborah Volpe, Giacomo Orlandi, Mattia Boggio +3
Effective epidemic control is crucial for mitigating the spread of infectious diseases, particularly when pharmaceutical interventions such as vaccines or treatments are limited. N…
AEQUAM: Accelerating Quantum Algorithm Validation through FPGA-Based Emulation
Lorenzo Lagostina, Deborah Volpe, Maurizio Zamboni +1
This work presents AEQUAM (Area Efficient QUAntum eMulation), a toolchain that enables faster and more accessible quantum circuit verification. It consists of a compiler that trans…
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…
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…