218 citations
- Skolkovo Institute of Science and TechnologyRU11 papers
- Moscow Institute of Physics and TechnologyRU4 papers
- Skolkovo Moscow School of ManagementRU4 papers
- Leibniz University HannoverDE2 papers
- Lomonosov Moscow State UniversityRU2 papers
- Russian Academy of SciencesRU2 papers
- Russian Quantum CenterRU2 papers
- Tongji UniversityCN2 papers
- Ariel UniversityIL1 paper
- Children's Hospital of Los AngelesUS1 paper
- Consejo Superior de Investigaciones CientíficasES1 paper
- Cyprus InstituteCY1 paper
15 papers
Energy-time attack on detectors in quantum key distribution
Konstantin Zaitsev, Vladimir Bizin, Dmitriy Kuzmin +1
Quantum key distribution is unbreakable in theory but may be hacked via imperfections in its hardware implementations. While many imperfections have been mitigated by countermeasur…
Terahertz spin-orbit torque as a drive of spin dynamics in the insulating antiferromagnet CrO
R. M. Dubrovin, Z. V. Gareeva, A. V. Kimel +1
Contrary to conventional wisdom that spin dynamics induced by current are exclusive to metallic magnets, we theoretically predict that such phenomena can also be realized in magnet…
Probing quantum chaos with the entropy of decoherent histories
Evgeny Polyakov, Nataliya Arefyeva
Quantum chaos, a phenomenon that began to be studied in the last century, still does not have a rigorous understanding. By virtue of the correspondence principle, the properties of…
Shotgun crystal structure prediction using machine-learned formation energies
Chang Liu, Hiromasa Tamaki, Tomoyasu Yokoyama +5
Stable or metastable crystal structures of assembled atoms can be predicted by finding the global or local minima of the energy surface within a broad space of atomic configuration…
Polariton vortex Chern insulator
Stella L. Harrison, Anton Nalitov, Pavlos G. Lagoudakis +1
We propose a vortex Chern insulator, motivated by recent experimental demonstrations on programmable arrangements of cavity polariton vortices by [Alyatkin et al., ArXiv:2207.01850…
Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents
Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova +1
We present an approach for interpreting a black-box alarming system for forecasting accidents and anomalies during the drilling of oil and gas wells. The interpretation methodology…