Andrea Ceschini

According to our database, Andrea Ceschini authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Quantum latent diffusion models.

Francesca De Falco, Andrea Ceschini, Alessandro Sebastianelli, Bertrand Le Saux, Massimo Panella

Quantum Mach. Intell., December, 2024

From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks.

Andrea Ceschini, Francesco Mauro, Francesca De Falco, Alessandro Sebastianelli, Alessio Verdone, Antonello Rosato, Bertrand Le Saux, Massimo Panella, Paolo Gamba, Silvia Liberata Ullo

CoRR, 2024

Q-SCALE: Quantum Computing-Based Sensor Calibration for Advanced Learning and Efficiency.

Lorenzo Bergadano, Andrea Ceschini, Pietro Chiavassa, Edoardo Giusto, Bartolomeo Montrucchio, Massimo Panella, Antonello Rosato

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

Evolving Hybrid Quantum-Classical GRU Architectures for Multivariate Time Series.

Francesca De Falco, Leonardo Lavagna, Andrea Ceschini, Antonello Rosato, Massimo Panella

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

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

Leonardo Lavagna, Andrea Ceschini, Antonello Rosato, Massimo Panella

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Resource saving via ensemble techniques for quantum neural networks.

Massimiliano Incudini, Michele Grossi, Andrea Ceschini, Antonio Mandarino, Massimo Panella, Sofia Vallecorsa, David Windridge

Quantum Mach. Intell., December, 2023

Modular quantum circuits for secure communication.

Andrea Ceschini, Antonello Rosato, Massimo Panella

IET Quantum Commun., December, 2023

2022

Design of an LSTM Cell on a Quantum Hardware.

Andrea Ceschini, Antonello Rosato, Massimo Panella

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction.

Andrea Ceschini, Antonello Rosato, Massimo Panella

Proceedings of the International Joint Conference on Neural Networks, 2022

Analysis of Logic Schemes for the Optical Implementation of Pointwise Operations in Gated Recurrent Unit Cells.

Badrul Alam, Andrea Ceschini, Antonello Rosato, Massimo Panella, Rita Asquini

Proceedings of the Sensors and Microsystems, 2022

2021

Time Series Prediction with Autoencoding LSTM Networks.

Federico Succetti, Andrea Ceschini, Francesco Di Luzio, Antonello Rosato, Massimo Panella

Proceedings of the Advances in Computational Intelligence, 2021