We study many-body localization (MBL) transition in disordered Floquet systems using a
polynomially filtered exact diagonalization (POLFED) algorithm. We focus on disordered …

The many-body simulation of quantum systems is an active field of research that involves
several different methods targeting various computing platforms. Many methods commonly …

We present a greedy algorithm for computing selected eigenpairs of a large sparse matrix H
that can exploit localization features of the eigenvector. When the eigenvector to be …

We propose several techniques to enhance the parallel scalability of a matrix-free
eigensolver designed for studying many-body localization (MBL) of quantum spin chain …

We examine the possibility of using a reinforcement learning (RL) algorithm to solve large-
scale eigenvalue problems in which the desired the eigenvector can be approximated by a …

A many-body quantum system has the potential for entanglement between its subsystems—
a form of correlation that has no equivalent in classical physics. Due to entanglement, the …

In generic isolated systems, non-equilibrium states are expected to thermalize: relax to
states in which the values of macroscopic quantities are stationary, universal with respect to …

In generic isolated systems, non-equilibrium states are expected to thermalize: relax to
states in which the values of macroscopic quantities are stationary, universal with respect to …

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