activity
20052024
most citedFunctional Renormalization Group Analysis of the Half-filled One-dimensional Extended Hubbard Model

68 citations · 750 across the 53 of their papers we have counts for

collaborators

53 papers

cond-mat.str-el2024★ 3 cited

Out of Time Order Correlation of the Hubbard Model with Random Local Disorder

Chakradhar Rangi, Juana Moreno, Ka-Ming Tam

The out of time order correlator (OTOC) serves as a powerful tool for investigating quantum information spreading and chaos in complex systems. We present a method employing non-eq…

cond-mat.str-el2023

Quantum Classical Algorithm for the Study of Phase Transitions in the Hubbard Model via Dynamical Mean-Field Theory

Anshumitra Baul, Herbert F Fotso, Hanna Terletska +2

Simulating quantum many-body systems is believed to be one of the most promising applications of near-term noisy quantum computers. However, in the near term, system size limitatio…

cond-mat.mes-hall2023★ 17 cited

Engineering non-Hermitian Second Order Topological Insulator in Quasicrystals

Chakradhar Rangi, Ka-Ming Tam, Juana Moreno

Non-Hermitian topological phases have gained immense attention due to their potential to unlock novel features beyond Hermitian bounds. PT-symmetric (Parity Time-reversal symmetric…

cond-mat.str-el2022★ 6 cited

Phonon Induced Instabilities in Correlated Electron Hamiltonians

Nahom K. Yirga, Ka-Ming Tam, David K. Campbell

Studies of Hamiltonians modeling the coupling between electrons as well as to local phonon excitations have been fundamental in capturing the novel ordering seen in many quasi-one…

cond-mat.mtrl-sci2022★ 2 cited

Ab initio Approaches to High Entropy Alloys: A Comparison of CPA, SQS, and Supercell Methods

Mariia Karabin, Wasim Mondal, Andreas Ostlin +7

We present a comparative study of different modeling approaches to the electronic properties of the $\textrm{Hf}_{0.05}\textrm{Nb}_{0.05}\textrm{Ta}_{0.8}\textrm{Ti}_{0.05}\textrm{…

cond-mat.str-el2021

An Application of Quantum Machine Learning on Quantum Correlated Systems: Quantum Convolutional Neural Network as a Classifier for Many-Body Wavefunctions from the Quantum Variational Eigensolver

Nathaniel Wrobel, Anshumitra Baul, Juana Moreno +1

Machine learning has been applied on a wide variety of models, from classical statistical mechanics to quantum strongly correlated systems for the identification of phase transitio…