81 citations · 210 across the 12 of their papers we have counts for
3 papers · 1 filter
Controlling the dynamics of ultracold polar molecules in optical tweezers
Marta Sroczyńska, Anna Dawid, Michał Tomza +3
Ultracold molecules trapped in optical tweezers show great promise for the implementation of quantum technologies and precision measurements. We study a prototypical scenario where…
Hessian-based toolbox for reliable and interpretable machine learning in physics
Anna Dawid, Patrick Huembeli, Michał Tomza +2
Machine learning (ML) techniques applied to quantum many-body physics have emerged as a new research field. While the numerical power of this approach is undeniable, the most expre…
Unsupervised machine learning of topological phase transitions from experimental data
Niklas Käming, Anna Dawid, Korbinian Kottmann +4
Identifying phase transitions is one of the key challenges in quantum many-body physics. Recently, machine learning methods have been shown to be an alternative way of localising p…