Publications

A complete list with all my scientific contributions can be found here.

Trade-offs in Cryptosystems by Boolean and Quantum Circuits

Published in 2025 IEEE International Symposium on Circuits and Systems (ISCAS), 2025

This work explores the impact of NISQ devices on encryption-decryption schemes and has its companion blog post here.

Recommended citation: L. Lavagna, F. De Falco, A. Ceschini, A. Rosato and M. Panella, "Trade-offs in Cryptosystems by Boolean and Quantum Circuits," 2025 IEEE International Symposium on Circuits and Systems (ISCAS), London, UK, pp. 1-5. https://ieeexplore.ieee.org/document/11043205

Evolving Hybrid Quantum-Classical GRU Architectures for Multivariate Time Series

Published in 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), 2024

This paper is about an hybrid quantum-classical Gated Recurrent Unit used to infer information about multidimensional time series and has its companion blog post here.

Recommended citation: Francesca De Falco, Leonardo Lavagna, Andrea Ceschini, Antonello Rosato, Massimo Panella: Evolving Hybrid Quantum-Classical GRU Architectures for Multivariate Time Series, in the 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP). https://inspirehep.net/literature/2849278

A Layerwise-Multi-Angle Approach to Fine-Tuning the Quantum Approximate Optimization Algorithm

Published in 2024 International Joint Conference on Neural Networks (IJCNN), 2024

This work was the natural development of my master thesis on quantum optimization and has its companion blog post here.

Recommended citation: L. Lavagna, A. Ceschini, A. Rosato and M. Panella, "A Layerwise-Multi-Angle Approach to Fine-Tuning the Quantum Approximate Optimization Algorithm," 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1-8. https://ieeexplore.ieee.org/document/10650075