Approaching the adiabatic timescale with machine learning
The control and manipulation of quantum systems without excitation are challenging, due to the complexities in fully modeling such systems accurately and the difficulties in controlling these inherently fragile systems experimentally. For example, while protocols to decompress Bose–Einstein condensates (BECs) faster than the adiabatic timescale (without excitation or loss) have been well developed theoretically, experimental implementations of these protocols have yet to reach speeds faster...[Show more]
|Collections||ANU Research Publications|
|Source:||PNAS - Proceedings of the National Academy of Sciences of the United States of America|
|Access Rights:||Open Access|
|1809.03124.pdf||Author Accepted Manuscript||6.56 MB||Adobe PDF|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.