Machine learner optimization of atom loading in optical nanofiber evanescent dipole traps

Autor: Ratnesh K. Gupta, Jesse L. Everett, Aaron D. Tranter, René Henke, Vandna Gokhroo, Ping Koy Lam, Síle Nic Chormaic
Rok vydání: 2022
Zdroj: Quantum 2.0 Conference and Exhibition.
Popis: We use an online machine learning algorithm to optimize cooling and loading of rubidium-87 atoms into an evanescent dipole trap array along an optical nanofiber, increasing the number of trapped atoms by 50%.
Databáze: OpenAIRE