Open AccessA Continuous Time Quantum Monte Carlo as an Impurity Solver for Strongly Correlated System
Author(s) -
Raj Kumar,
Ram Babu Ray,
Gopi Chandra Kaphle,
O. P. Niraula
Publication year - 2021
Publication title -
journal of nepal physical society/journal of nepali physical society
Language(s) - English
Resource type - Journals
eISSN - 2738-9537
pISSN - 2392-473X
DOI - 10.3126/jnphyssoc.v7i3.42185
Subject(s) - quantum monte carlo , monte carlo method , statistical physics , quasiparticle , physics , condensed matter physics , metal–insulator transition , quantum , impurity , solver , quantum mechanics , superconductivity , mathematics , electrical resistivity and conductivity , mathematical optimization , statistics
We assess the continuous-time quantum Monte Carlo (CT-QMC) technique with hybridization expansion for solvingthe electronic structure of the strongly correlated system LaxSr1−xVO3 . The impurity solver method implemented here shows the fair agreement with the other available Monte Carlo techniques. From the study, it is found that the CT-QMC technique clearly distinguishes metallic phase, quasiparticle phase and insulating phases of the system depending upon the strength of the correlation. In case of La0.33Sr0.67VO3 system the metal-insulator transition is found to be at U = 4.5 eV for β = 6(eV)−1. The value of U depends with the value of β, and also the value of Hund’s coupling (J) and bandwidth (W). This technique allows the particle to exchange with the reservoir of the particles and the impurity sites, which is accounted numerically to treat the temporal fluctuation of the fermionic systems termed as dynamical mean field theory (DMFT). This theory is used to explain the phenomena of MottHubbard metal insulator transition of the materials which are applicable for designing the Mottronics, Neuromorphic computing, Quantum computing and resistive memory devices.