Научные публикации
A. K. Fedorov & M. S. Gelfand
Towards practical applications in quantum computational biology


A.S. Boev, A.S. Rakitko, S.R. Usmanov, A.N. Kobzeva, I.V. Popov, V.V. Ilinsky, E.O. Kiktenko, and A.K. Fedorov,
Genome assembly using quantum and quantum-inspired annealing
arXiv:2004.06719
First application of quantum annealing for realistic tasks in genetics.


E.S. Tiunov, V.V. Tiunova, A.E. Ulanov, A.I. Lvovsky, and A.K. Fedorov,
Experimental quantum homodyne tomography via machine learning
Optica 7, 448 (2020); arXiv:1907.06589


E.O. Kiktenko, A.S. Mastiukova, and A.K. Fedorov,
Protecting quantum systems from decoherence with unitary operations
Optical Engineering 59, 061625 (2020); arXiv:1907.01971


E.O. Kiktenko, A.S. Nikolaeva, Peng Xu, G.V. Shlyapnikov, and A.K. Fedorov,
Scalable quantum computing with qudits on a graph
Physical Review A 101, 064406 (2020); arXiv:1909.08973
New architecture for digital quantum computers.


Y.A. Kharkov, V.E. Sotskov, A.A. Karazeev, E.O. Kiktenko, and A.K. Fedorov,
Revealing quantum chaos with machine learning
Physical Review B 101, 022304 (2020); arXiv:1902.09216


E.O. Kiktenko, D.N. Kublikova, and A.K. Fedorov,
Estimating the precision for quantum process tomography
Optical Engineering 59, 061614 (2020); arXiv:1911.00277
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