233 citations · 549 across the 13 of their papers we have counts for
5 papers · 1 filter
Variational Quantum Anomaly Detection: Unsupervised mapping of phase diagrams on a physical quantum computer
Korbinian Kottmann, Friederike Metz, Joana Fraxanet +1
One of the most promising applications of quantum computing is simulating quantum many-body systems. However, there is still a need for methods to efficiently investigate these sys…
Supersolid-Superfluid phase separation in the extended Bose-Hubbard model
Korbinian Kottmann, Andreas Haller, Antonio Acín +2
Recent studies have suggested a new phase in the extended Bose-Hubbard model in one dimension at integer filling [1,2]. In this work, we show that this new phase is phase-separated…
Detecting ergodic bubbles at the crossover to many-body localization using neural networks
Tomasz Szoldra, Piotr Sierant, Korbinian Kottmann +2
The transition between ergodic and many-body localized phases is expected to occur via an avalanche mechanism, in which \emph{ergodic bubbles} that arise due to local fluctuations…
Unsupervised mapping of phase diagrams of 2D systems from infinite projected entangled-pair states via deep anomaly detection
Korbinian Kottmann, Philippe Corboz, Maciej Lewenstein +1
We demonstrate how to map out the phase diagram of a two dimensional quantum many body system with no prior physical knowledge by applying deep \textit{anomaly detection} to ground…
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…