Alessandro Poggiali

According to our database, Alessandro Poggiali authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

A more efficient quantum circuit for estimating the variance.

Alessandro Poggiali, Jiwon Ju

Quantum Mach. Intell., June, 2026

2025

Variational Decision Trees with Structured Ansatzes.

Alessandro Poggiali, Giacomo Antonioli, Alessandro Berti, Gianna M. Del Corso, Riccardo Guidotti

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

Outlier Detection and other applications of Quantum Matrix Multiplication.

Giacomo Antonioli, Alessandro Berti, Alessandro Poggiali, Anna Bernasconi, Gianna M. Del Corso

Proceedings of the 2025 IEEE International Parallel and Distributed Processing Symposium, 2025

2024

Quantum subroutine for variance estimation: algorithmic design and applications.

Anna Bernasconi, Alessandro Berti, Gianna M. Del Corso, Riccardo Guidotti, Alessandro Poggiali

Quantum Mach. Intell., December, 2024

Quantum clustering with k-Means: A hybrid approach.

Alessandro Poggiali, Alessandro Berti, Anna Bernasconi, Gianna M. Del Corso, Riccardo Guidotti

Theor. Comput. Sci., 2024

Quantum Subroutine for Efficient Matrix Multiplication.

Anna Bernasconi, Alessandro Berti, Gianna Maria Del Corso, Alessandro Poggiali

IEEE Access, 2024

Quantum Patch-Based Autoencoder for Anomaly Segmentation.

Maria Francisca Madeira, Alessandro Poggiali, Jeanette Miriam Lorenz

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Variational Compression of Circuits for State Preparation.

Alessandro Berti, Giacomo Antonioli, Anna Bernasconi, Gianna M. Del Corso, Riccardo Guidotti, Alessandro Poggiali

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

2023

Quantum Feature Selection with Variance Estimation.

Alessandro Poggiali, Anna Bernasconi, Alessandro Berti, Gianna M. Del Corso, Riccardo Guidotti

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Clustering Classical Data with Quantum k-Means.

Alessandro Poggiali, Alessandro Berti, Anna Bernasconi, Gianna Maria Del Corso, Riccardo Guidotti

Proceedings of the 23rd Italian Conference on Theoretical Computer Science, 2022