Classical Benchmarks of a Symmetry-Adapted Variational Quantum Eigensolver for Real-Time Green's Functions in Dynamical Mean-Field Theory
Aadi Singh, Chakradhar Rangi, and Ka-Ming Tam

TL;DR
This paper develops a symmetry-adapted variational quantum eigensolver for the Anderson Impurity Model within DMFT, demonstrating accurate ground state energies and Green's functions for larger baths, especially in strong interactions, on near-term quantum hardware.
Contribution
It introduces a symmetry-preserving VQE approach for larger bath discretizations in DMFT, enabling more accurate dynamical property calculations beyond the minimal two-site model.
Findings
Ground state energy errors below 0.01% for four-site models.
Accurate Green's functions obtained in intermediate to strong interactions.
Challenges in resolving low-energy spectral features in weak interactions.
Abstract
We present a variational quantum eigensolver (VQE) approach for solving the Anderson Impurity Model (AIM) arising in Dynamical Mean-Field Theory (DMFT). Recognizing that the minimal two-site approximation often fails to resolve essential spectral features, we investigate the efficacy of VQE for larger bath discretizations while adhering to near-term hardware constraints. We employ a symmetry-adapted ansatz enforcing conservation of particle number , spin projection , and total spin symmetry, benchmarking the performance against exact diagonalization across different interaction strengths using bath parameters extracted from the DMFT self-consistency loop. For a four-site model, the relative error in the ground state energy remains well below with a compact parameter set . Crucially, we demonstrate that the single-particle Green's…
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Taxonomy
TopicsQuantum and electron transport phenomena · Physics of Superconductivity and Magnetism · Quantum many-body systems
