Quantum Assisted Ghost Gutzwiller Ansatz
P.V. Sriluckshmy, Fran\c{c}ois Jamet, Fedor \v{S}imkovic IV

TL;DR
This paper introduces a hybrid quantum-classical approach to improve the ghost Gutzwiller ansatz for simulating material properties, leveraging quantum computing to efficiently compute the density matrix and capture phase transitions.
Contribution
It develops a quantum-assisted gGut method using QSCI and variational quantum states, enabling more efficient and accurate simulations of complex quantum systems.
Findings
Successfully used quantum samples to build SCI basis with 1% of CI states.
Captured the metal-insulator transition in the Fermi-Hubbard model.
Demonstrated feasibility on quantum hardware with up to 24 qubits.
Abstract
The ghost Gutzwiller ansatz (gGut) embedding technique was shown to achieve comparable accuracy to the gold standard dynamical mean-field theory method in simulating real material properties, yet at a much lower computational cost. Despite that, gGut is limited by the algorithmic bottleneck of computing the density matrix of the underlying effective embedding model, a quantity which must be converged within a self-consistent embedding loop. We develop a hybrid quantum-classical gGut technique which computes the ground state properties of embedding Hamiltonians with the help of a quantum computer, using the sample-based quantum-selected configuration interaction (QSCI) algorithm. We study the applicability of SCI-based methods to the evaluation of the density of states for single-band Anderson impurity models within gGut and find that such ground states of interest become sufficiently…
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Taxonomy
Topicsadvanced mathematical theories · Opinion Dynamics and Social Influence · Quantum Mechanics and Applications
