52 citations · 54 across the 2 of their papers we have counts for
2 papers
quant-ph2024★ 2 cited
Supervised binary classification of small-scale digit images and weighted graphs with a trapped-ion quantum processor
Ilia V. Zalivako, Alexander I. Gircha, Evgeniy O. Kiktenko +14
Here we present the results of benchmarking a quantum processor based on trapped Yb ions by performing basic quantum machine learning algorithms. Using a quantum-enha…
quant-ph2021★ 52 cited
Hybrid quantum-classical machine learning for generative chemistry and drug design
A. I. Gircha, A. S. Boev, K. Avchaciov +2
Deep generative chemistry models emerge as powerful tools to expedite drug discovery. However, the immense size and complexity of the structural space of all possible drug-like mol…