Recent advances in selected configuration interaction methods have made them competitive
with the most accurate techniques available and, hence, creating an increasingly powerful …

We implement a Wang-Landau sampling technique in quantum Monte Carlo (QMC)
simulations for the purpose of calculating the Rényi entanglement entropies and associated …

For the last few years, the NASA Quantum Artificial Intelligence Laboratory (QuAIL) has been
performing research to assess the potential impact of quantum computers on challenging …

Quantum Monte Carlo simulations of fermions are hampered by the notorious sign problem
whose most striking manifestation is an exponential growth of sampling errors with the …

We consider the entanglement between two spatial subregions in the Lieb-Liniger model of
bosons in one spatial dimension interacting via a contact interaction. Using ground-state …

These lecture notes on entanglement in topological systems are part of the 48th IFF Spring
School 2017 on Topological Matter: Topological Insulators, Skyrmions and Majoranas at the …

Concepts of information theory are increasingly used to characterize collective phenomena
in condensed matter systems, such as the use of entanglement entropies to identify …

We propose that spatial density matrices, which are singularly important in the study of
quantum entanglement, encode the electronic fluctuations and correlations responsible for …

At the interface of quantum information and condensed matter physics, the study of
entanglement in quantum many-body systems requires a new toolset which combines …

Abstract Path-Integral Monte Carlo Worm Algorithm is one of many Quantum Monte Carlo
(QMC) methods that serve as powerful tools for the simulation of quantum many-body …