Time Series Prediction with Autoencoding LSTM Networks. - Federico Succetti; Andrea Ceschini; Francesco Di Luzio; Antonello Rosato; Massimo Panella (IWANN (2), 2021)

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 (AISEM, 2022)

Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction. - Andrea Ceschini; Antonello Rosato; Massimo Panella (IJCNN, 2022)

Design of an LSTM Cell on a Quantum Hardware. - Andrea Ceschini; Antonello Rosato; Massimo Panella (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Modular quantum circuits for secure communication. - Andrea Ceschini; Antonello Rosato; Massimo Panella (IET Quantum Commun., 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., 2023)

A Layerwise-Multi-Angle Approach to Fine-Tuning the Quantum Approximate Optimization Algorithm. - Leonardo Lavagna; Andrea Ceschini; Antonello Rosato; Massimo Panella (IJCNN, 2024)

Evolving Hybrid Quantum-Classical GRU Architectures for Multivariate Time Series. - Francesca De Falco; Leonardo Lavagna; Andrea Ceschini; Antonello Rosato; Massimo Panella (MLSP, 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 (QCE, 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)

Quantum Hybrid Diffusion Models for Image Synthesis. - Francesca De Falco; Andrea Ceschini; Alessandro Sebastianelli; Bertrand Le Saux; Massimo Panella (Künstliche Intell., 2024)

Quantum latent diffusion models. - Francesca De Falco; Andrea Ceschini; Alessandro Sebastianelli; Bertrand Le Saux; Massimo Panella (Quantum Mach. Intell., 2024)

Trade-offs in Cryptosystems by Boolean and Quantum Circuits. - Leonardo Lavagna; Francesca De Falco; Andrea Ceschini; Antonello Rosato; Massimo Panella (ISCAS, 2025)

Achieving quantum utility and quantum advantage through AI-based approaches and efficient data driven models. - Andrea Ceschini (2025)

Quantum Simplicial Neural Networks. - Simone Piperno; Claudio Battiloro; Andrea Ceschini; Francesca Dominici; Paolo Di Lorenzo; Massimo Panella (CoRR, 2025)

On hybrid quanvolutional neural networks optimization. - Andrea Ceschini; Andrea Carbone; Alessandro Sebastianelli; Massimo Panella; Bertrand Le Saux (Quantum Mach. Intell., 2025)