Hannover 2020 – wissenschaftliches Programm
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Q: Fachverband Quantenoptik und Photonik
Q 13: Posters: Quantum Optics and Photonics I
Q 13.9: Poster
Montag, 9. März 2020, 16:30–18:30, Empore Lichthof
Quantum State Tomography of Ultracold Atoms in Optical Superlattices via Machine Learning — •Guo-Xian Su1,2, Zhen-Sheng Yuan1,2, and Jian-Wei Pan1,2 — 1Physikalisches Institut, Ruprecht-Karls-Universitat Heidelberg, Im Neuenheimer Feld 226, 69120 Heidelberg, Germany — 2Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China
Optical superlattices enabled preparation of quantum many-body states with ultracold atoms, however, traditional methods of detection and reconstruction of these states requires exponential amount of computational resources. Following recent development of machine learning technics, we demonstrate the use of restricted Boltzmann machine to reconstruct complex quantum states up to 10 Qu-bits prepared with √SWAP operation in superlattices with less than 1000 measurements, which is impossible with brutal-force tomography. This method can be useful for large-scale quantum simulation with ultracold atoms.