scholarly journals Persistent homology analysis of phase transitions

2016 ◽  
Vol 93 (5) ◽  
Author(s):  
Irene Donato ◽  
Matteo Gori ◽  
Marco Pettini ◽  
Giovanni Petri ◽  
Sarah De Nigris ◽  
...  
2020 ◽  
Vol 35 (10) ◽  
pp. 2050049
Author(s):  
Takehiro Hirakida ◽  
Kouji Kashiwa ◽  
Junpei Sugano ◽  
Junichi Takahashi ◽  
Hiroaki Kouno ◽  
...  

The persistent homology analysis is applied to the effective Polyakov-line model on a rectangular lattice to investigate the confinement–deconfinement nature. The lattice data are mapped onto the complex Polyakov-line plane without taking the spatial average and then the plane is divided into three domains. This study is based on previous studies for the clusters and the percolation properties in lattice QCD, but the mathematical method of the analyses are different. The spatial distribution of the data in the individual domain is analyzed by using the persistent homology to obtain information of the multiscale structure of center clusters. In the confined phase, the data in the three domains show the same topological tendency characterized by the birth and death times of the holes which are estimated via the filtration of the alpha complexes in the data space, but do not in the deconfined phase. By considering the configuration averaged ratio of the birth and death times of holes, we can construct the nonlocal order parameter of the confinement–deconfinement transition from the multiscale topological properties of center clusters.


2019 ◽  
Vol 21 (37) ◽  
pp. 21038-21048 ◽  
Author(s):  
Kelin Xia ◽  
D. Vijay Anand ◽  
Saxena Shikhar ◽  
Yuguang Mu

Dramatically different patterns can be observed in the topological fingerprints for hydrogen-bonding networks from two types of osmolyte systems.


2020 ◽  
Vol 20 (5&6) ◽  
pp. 375-399
Author(s):  
Ricardo Mengoni ◽  
Alessandra Di Pierro ◽  
Leleh Memarzadeh ◽  
Stefano Mancini

We introduce a homology-based technique for the classification of multiqubit state vectors with genuine entanglement. In our approach, we associate state vectors to data sets by introducing a metric-like measure in terms of bipartite entanglement, and investigate the persistence of homologies at different scales. This leads to a novel classification of multiqubit entanglement. The relative occurrence frequency of various classes of entangled states is also shown.


2016 ◽  
Vol 10 (1) ◽  
pp. 198-218 ◽  
Author(s):  
Paul Bendich ◽  
J. S. Marron ◽  
Ezra Miller ◽  
Alex Pieloch ◽  
Sean Skwerer

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