5 papers · 1 filter
Distance learning from projective measurements as an information-geometric probe of many-body physics
Oleksii Malyshev, Simon M. Linsel, Fabian Grusdt +3
The ability of modern quantum simulators--both digital and analogue--to generate large ensembles of single-shot projective "snapshots" has opened a data-rich avenue for the study o…
ParaToric 1.0: Continuous-time quantum Monte Carlo for the toric code in a parallel field
Simon M. Linsel, Lode Pollet
We introduce ParaToric, a C++ package for simulating the toric code in a parallel field (i.e., - and -fields) at finite temperature. We implement and extend the continuous-ti…
Independent e- and m-anyon confinement in the parallel field toric code on non-square lattices
Simon M. Linsel, Lode Pollet, Fabian Grusdt
Kitaev's toric code has become one of the most studied models in physics and is highly relevant to the fields of both quantum error correction and condensed matter physics. Most no…
Approximately-symmetric neural networks for quantum spin liquids
Dominik S. Kufel, Jack Kemp, DinhDuy Vu +3
We propose and analyze a family of approximately-symmetric neural networks for quantum spin liquid problems. These tailored architectures are parameter-efficient, scalable, and sig…
Percolation as a confinement order parameter in lattice gauge theories
Simon M. Linsel, Annabelle Bohrdt, Lukas Homeier +2
Lattice gauge theories (LGTs) were introduced in 1974 by Wilson to study quark confinement. These models have been shown to exhibit (de-)confined phases, yet it remains challenging…