Explicability and Inexplicability in the Interpretation of Quantum Neural Networks. - Lirandë Pira; Chris Ferrie (CoRR, 2023)

Sub-universal variational circuits for combinatorial optimization problems. - Gal Weitz; Lirandë Pira; Chris Ferrie; Joshua Combes (CoRR, 2023)

An invitation to distributed quantum neural networks. - Lirandë Pira; Chris Ferrie (Quantum Mach. Intell., 2023)

On the interpretability of quantum neural networks. - Lirandë Pira; Chris Ferrie (Quantum Mach. Intell., 2024)

Enhanced Photonic Chip Design via Interpretable Machine Learning Techniques. - Lirandë Pira; Airin Antony; Nayanthara Prathap; Daniel Peace; Jacquiline Romero (CoRR, 2025)

Degree-Optimized Cumulative Polynomial Kolmogorov-Arnold Networks. - Mathew Vanherreweghe; Lirandë Pira; Patrick Rebentrost (CoRR, 2025)