82 citations · 96 across the 4 of their papers we have counts for
5 papers
Quantum and quantum-inspired optimization for solving the minimum bin packing problem
A. A. Bozhedarov, A. S. Boev, S. R. Usmanov +3
Quantum computing devices are believed to be powerful in solving hard computational tasks, in particular, combinatorial optimization problems. In the present work, we consider a pa…
Quantum-inspired optimization for wavelength assignment
Aleksey S. Boev, Sergey R. Usmanov, Alexander M. Semenov +5
Problems related to wavelength assignment (WA) in optical communications networks involve allocating transmission wavelengths for known transmission paths between nodes that minimi…
Multiclass classification using quantum convolutional neural networks with hybrid quantum-classical learning
Denis Bokhan, Alena S. Mastiukova, Aleksey S. Boev +2
Multiclass classification is of great interest for various applications, for example, it is a common task in computer vision, where one needs to categorize an image into three or m…
Improving the performance of fermionic neural networks with the Slater exponential Ansatz
Denis Bokhan, Aleksey S. Boev, Aleksey K. Fedorov +1
In this work, we propose a technique for the use of fermionic neural networks (FermiNets) with the Slater exponential Ansatz for electron-nuclear and electron-electron distances, w…
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…