@article{pierro_homological_2018, abstract = {We propose the usage of persistent homologies to characterize multipartite entanglement. On a multi-qubit data set we introduce metric-like measures defined in terms of bipartite entanglement and then we derive barcodes. We show that, depending on the distance, they are able to produce different classifications. In one case, it is possible to obtain the standard separability classes. In the other case, a new classification of entangled states of three and four qubits is provided.}, author = {Pierro, Alessandra di and Mancini, Stefano and Memarzadeh, Laleh and Mengoni, Riccardo}, date = {2018-09}, doi = {10.1209/0295-5075/123/30006}, issn = {0295-5075}, journaltitle = {{EPL} (Europhysics Letters)}, keywords = {1 - Quantum physics, 2 - Persistent homology, 3 - Multi-qubit data set, Innovate}, langid = {english}, number = {3}, pages = {30006}, shortjournal = {{EPL}}, title = {Homological analysis of multi-qubit entanglement}, url = {https://doi.org/10.1209%2F0295-5075%2F123%2F30006}, urldate = {2020-01-04}, volume = {123} }