SIMONE PIPERNO

PhD Student

PhD program:: XXXIX
email: simone.piperno@uniroma1.it
phone: +39 0644585745
building: RM032 - S. Pietro in Vincoli - Edificio B – Via Eudossiana, 18
room: DIET 111 - Laboratorio Multimedialità




supervisor: Massimo Panella

Research Topic: Deep Learning and Quantum Machine Learning

Curriculum: Information and Communication Engineering

Ph.D. start date: Novembre 2023

Ph.D. Advisory Board: Paolo Di Lorenzo, Michele Scarpiniti, Rita Asquini 


Research products

11573/1740072 - 2025 - A study on quantum graph neural networks applied to molecular physics
Piperno, Simone; Ceschini, Andrea; Chang, Su Yeon; Grossi, Michele; Vallecorsa, Sofia; Panella, Massimo - 01a Articolo in rivista
paper: PHYSICA SCRIPTA (Royal Swedish Academy of Sciences:Publications Department, Box 50005, S-104 05 Stockholm Sweden:011 46 8 1664480, INTERNET: http://www.kva.se/eng/index.html, Fax: 011 46 8 166405, 011 46 8 6739590) pp. 1-18 - issn: 0031-8949 - wos: (0) - scopus: (0)

11573/1717680 - 2024 - Enhancing QAOA Ansatz via Multi-Parameterized Layer and Blockwise Optimization
De Falco, F.; Piperno, S.; Lavagna, L.; Ceschini, A.; Rosato, A.; Panella, M. - 04d Abstract in atti di convegno
conference: Quantum Techniques in Machine Learning (QTML 2024) (University of Melbourne, Melbourne, Australia)
book: Proceedings of Quantum Techniques in Machine Learning (QTML 2024) - ()

11573/1717679 - 2024 - Quantum Generative Modeling via Straightforward State Preparation
Lavagna, L.; De Falco, F.; Piperno, S.; Ceschini, A.; Rosato, A.; Panella, M. - 04d Abstract in atti di convegno
conference: Quantum Techniques in Machine Learning (QTML 2024) (University of Melbourne, Melbourne, Australia)
book: Proceedings of Quantum Techniques in Machine Learning (QTML 2024) - ()

11573/1717681 - 2024 - Quantum Enhanced Knowledge Distillation
Piperno, S.; Lavagna, L.; De Falco, F.; Ceschini, A.; Rosato, A.; Windridge, D.; Panella, M. - 04d Abstract in atti di convegno
conference: Quantum Techniques in Machine Learning (QTML 2024) (University of Melbourne, Melbourne, Australia)
book: Proceedings of Quantum Techniques in Machine Learning (QTML 2024) - ()

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