312 citations · 2.2k across the 56 of their papers we have counts for
12 papers · 1 filter
Finite temperature dopant-induced spin reorganization explored via tensor networks in the two-dimensional - model
Yintai Zhang, Aritra Sinha, Marek M. Rams +1
We study the two-dimensional -- model at finite temperature directly in the thermodynamic limit using purification represented by an infinite projected entangled-pair state (…
YASTN: Yet another symmetric tensor networks; A Python library for abelian symmetric tensor network calculations
Marek M. Rams, Gabriela Wójtowicz, Aritra Sinha +1
We present an open-source tensor network Python library for quantum many-body simulations. At its core is an abelian-symmetric tensor, implemented as a sparse block structure manag…
The confluence of fractured resonances at points of dynamical, many--body flare
Bitan De, Gabriela Wójtowicz, Marek M. Rams +2
Resonant transport occurs when there is a matching of frequencies across some spatial medium, increasing the efficiency of shuttling particles from one reservoir to another. We dem…
Finite temperature tensor network study of the Hubbard model on an infinite square lattice
Aritra Sinha, Marek M. Rams, Piotr Czarnik +1
The Hubbard model is a longstanding problem in the theory of strongly correlated electrons and a very active one in the experiments with ultracold fermionic atoms. Motivated by cur…
Quantum phase transition dynamics in the two-dimensional transverse-field Ising model
Markus Schmitt, Marek M. Rams, Jacek Dziarmaga +2
The quantum Kibble-Zurek mechanism (QKZM) predicts universal dynamical behavior near the quantum phase transitions (QPTs). It is now well understood for the one-dimensional quantum…
Tensor network study of the magnetization plateau in the Shastry-Sutherland model at finite temperature
Piotr Czarnik, Marek M. Rams, Philippe Corboz +1
The two-dimensional infinite projected entangled pair states tensor network is evolved in imaginary time with the full update (FU) algorithm to simulate the Shastry-Sutherland mode…