Benchmarking Small-Scale Quantum Devices on Computing Graph Edit Distance. - Massimiliano Incudini; Fabio Tarocco; Riccardo Mengoni; Alessandra Di Pierro; Antonio Mandarino (CoRR, 2021)

The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning. - Massimiliano Incudini; Michele Grossi; Antonio Mandarino; Sofia Vallecorsa; Alessandra Di Pierro; David Windridge (CoRR, 2022)

Quantum Thermal Amplifiers with Engineered Dissipation. - Antonio Mandarino (Entropy, 2022)

Computing graph edit distance on quantum devices. - Massimiliano Incudini; Fabio Tarocco; Riccardo Mengoni; Alessandra Di Pierro; Antonio Mandarino (Quantum Mach. Intell., 2022)

On the Fidelity Robustness of CHSH-Bell Inequality via Filtered Random States. - Antonio Mandarino; Giovanni Scala (Entropy, 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 Tutorial on the Use of Physics-Informed Neural Networks to Compute the Spectrum of Quantum Systems. - Lorenzo Brevi; Antonio Mandarino; Enrico Prati (CoRR, 2024)