Quantum Model-Discovery. - Niklas Heim; Atiyo Ghosh; Oleksandr Kyriienko; Vincent E. Elfving (CoRR, 2021)

What can we learn from quantum convolutional neural networks? - Chukwudubem Umeano; Annie E. Paine; Vincent E. Elfving; Oleksandr Kyriienko (CoRR, 2023)

Quantum manipulation of a two-level mechanical system. - Salvatore Chiavazzo; Anders Søndberg Sørensen; Oleksandr Kyriienko; Luca Dellantonio (Quantum, 2023)

Beyond the Buzz: Strategic Paths for Enabling Useful NISQ Applications. - Pratibha Raghupati Hegde; Oleksandr Kyriienko; Hermanni Heimonen; Panagiotis Tolias; Gilbert Netzer; Panagiotis Kl. Barkoutsos; Ricardo Vinuesa; Ivy Peng; Stefano Markidis (CF, 2024)

Geometric quantum machine learning of BQPA protocols and latent graph classifiers. - Chukwudubem Umeano; Vincent E. Elfving; Oleksandr Kyriienko (CoRR, 2024)

Can Geometric Quantum Machine Learning Lead to Advantage in Barcode Classification? - Chukwudubem Umeano; Stefano Scali; Oleksandr Kyriienko (CoRR, 2024)