We propose an algorithm to obtain Green's functions as a continued fraction on quantum
computers, which is based on the construction of the Krylov basis using variational quantum …

The developments of quantum computing algorithms and experiments for atomic scale
simulations have largely focused on quantum chemistry for molecules, while their …

Quantum computers (QC) could harbor the potential to significantly advance materials
simulations, particularly at the atomistic scale involving strongly correlated fermionic systems …

Quantitative descriptions of strongly correlated materials pose a considerable challenge in
condensed matter physics and chemistry. A promising approach to address this problem is …

We introduce a hybrid quantum-classical variational algorithm to simulate ground-state
phase diagrams of frustrated quantum spin models in the thermodynamic limit. The method …

Quantum computers provide new avenues to access ground and excited state properties of
systems otherwise difficult to simulate on classical hardware. New approaches using …

Dynamical mean-field theory (DMFT) is one of the most widely-used methods to treat
accurately electron correlation effects in ab-initio real material calculations. Many modern …

Quantum simulation of the electronic structure problem is one of the most researched
applications of quantum computing. The majority of quantum algorithms for this problem …

We present and analyze large-scale simulation results of a hybrid quantum-classical
variational method to calculate the ground state energy of the anti-ferromagnetic Heisenberg …

We present the TRIQS library, a Toolbox for Research on Interacting Quantum Systems. It is
an open-source, computational physics library providing a framework for the quick …