13 citations · 29 across the 5 of their papers we have counts for
4 papers · 1 filter
Characterizing out-of-distribution generalization of neural networks: application to the disordered Su-Schrieffer-Heeger model
Kacper Cybiński, Marcin Płodzień, Michał Tomza +3
Machine learning (ML) is a promising tool for the detection of phases of matter. However, ML models are also known for their black-box construction, which hinders understanding of…
Entanglement classification and \emph{non-k}-separability certification via Greenberger-Horne-Zeilinger-class fidelity
Marcin Płodzień, Jan Chwedeńczuk, Maciej Lewenstein +1
Many-body quantum systems can be characterised using the notions of \emph{k}-separability and entanglement depth. A quantum state is \emph{k}-separable if it can be expressed as a…
Inherent quantum resources in stationary spin chains
Marcin Płodzień, Jan Chwedeńczuk, Maciej Lewenstein
The standard way to generate many-body quantum correlations is via a dynamical protocol: an initial product state is transformed by interactions that generate non-classical correla…
Quantum Algorithms for Inverse Participation Ratio Estimation in multi-qubit and multi-qudit systems
Yingjian Liu, Piotr Sierant, Paolo Stornati +2
Inverse Participation Ratios (IPRs) and the related Participation Entropies quantify the spread of a quantum state over a selected basis of the Hilbert space, offering insights int…