Quantum algorithms for machine learning represent a paradigm shift in computational learning. While still in the early stages, QAML holds the promise to transform industries by enabling faster, more powerful models — especially for problems that are intractable for classical systems. As quantum hardware and algorithms improve, QAML will likely play a central role in the future of artificial intelligence.

ShodhKosh Journal of Visual and Performing ArtsMar 31, 20240 citations

Quantum Control by Ultrafast Dressed State Tailoring

M. Wollenhaupt, Tim Bayer, A. Präkelt +2 more

Strong field quantum control using shaped intense femtosecond laser pulses is investigated. The physical mechanism relies on Selective Population Of Dressed States (SPODS). Ultrafast switching, high selectivity and tunability is demonstrated experimentally on atoms.

Frontiers in OpticsJan 1, 20060 citations