698 citations · 1.2k across the 22 of their papers we have counts for
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Optimal storage capacity of quantum Hopfield neural networks
Lukas Bödeker, Eliana Fiorelli, Markus Müller
Quantum neural networks form one pillar of the emergent field of quantum machine learning. Here, quantum generalisations of classical networks realizing associative memories - capa…
Accessing the topological Mott insulator in cold atom quantum simulators with realistic Rydberg dressing
Lorenzo Cardarelli, Sergi Julià-Farré, Maciej Lewenstein +2
The interplay between many-body interactions and the kinetic energy gives rise to rich phase diagrams hosting, among others, interaction-induced topological phases. These phases ar…
Quantum many-body scars in bipartite Rydberg arrays originate from hidden projector embedding
Keita Omiya, Markus Müller
We study the nature of the ergodicity-breaking "quantum many-body scar" states that appear in the PXP model describing constrained Rabi oscillations. For a {wide class of bipartite…
Quantum Error Correction with Quantum Autoencoders
David F. Locher, Lorenzo Cardarelli, Markus Müller
Active quantum error correction is a central ingredient to achieve robust quantum processors. In this paper we investigate the potential of quantum machine learning for quantum err…