137 citations · 268 across the 20 of their papers we have counts for
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Inspiration from machine learning on example of optimization of the Bose-Einstein condensate of thulium atoms in a 1064-nm trap
D. A. Kumpilov, D. A. Pershin, I. S. Cojocaru +10
The number of atoms in Bose-Einstein condensate determines the scale of experiments that can be performed, making it crucial for quantum simulations. Optimization of the number of…
Interaction of Nitrogen-Vacancy Centers in Diamond with a Dense Ensemble of Carbon-13
O. R. Rubinas, V. V. Soshenko, I. S. Cojocaru +9
The nitrogen-vacancy center in diamond attracts a lot of attention in sensing applications, mainly for temperature, magnetic field, and rotation measurements. Nuclear spins of carb…
Bose-Einstein condensate as a diagnostic tool for an optical lattice formed by 1064 nm laser light
V. V. Tsyganok, D. A. Pershin, V. A. Khlebnikov +10
Recently, the thulium atom has been cooled down to the temperature of Bose-Einstein condensation. While the condensate of the thulium atom has a lot of applications in quantum simu…
Losses of thulium atoms from optical dipole traps operating at 532 and 1064 nm
V. V. Tsyganok, D. A. Pershin, V. A. Khlebnikov +10
Recently thulium has been condensed to Bose-Einstein condensate. Machine learning was used to avoid a detailed study of all obstacles making cooling difficult. This paper analyses…