366 citations · 3k across the 53 of their papers we have counts for
6 papers · 1 filter
Revealing the topological nature of the bond order wave in a strongly correlated quantum system
Sergi Julià-Farré, Daniel González-Cuadra, Alexander Patscheider +5
We investigate the topological properties of the bond order wave phase arising in the extended Fermi-Hubbard model. In particular, we uncover a topological sector, which remained e…
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…
Quadratic Unconstrained Binary Optimisation via Quantum-Inspired Annealing
Joseph Bowles, Alexandre Dauphin, Patrick Huembeli +2
We present a classical algorithm to find approximate solutions to instances of quadratic unconstrained binary optimisation. The algorithm can be seen as an analogue of quantum anne…
Cold atoms meet lattice gauge theory
Monika Aidelsburger, Luca Barbiero, Alejandro Bermudez +19
The central idea of this review is to consider quantum field theory models relevant for particle physics and replace the fermionic matter in these models by a bosonic one. This is…
Linking topological features of the Hofstadter model to optical diffraction figures
Francesco Di Colandrea, Alessio D'Errico, Maria Maffei +6
In two, three and even four spatial dimensions, the transverse responses experienced by a charged particle on a lattice in a uniform magnetic field are fully controlled by topologi…
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…