Dynamical Mean Field Theory for Real Materials on a Quantum Computer
Johannes Selisko, Maximilian Amsler, Christopher Wever, Yukio, Kawashima, Georgy Samsonidze, Rukhsan Ul Haq, Francesco Tacchino, Ivano, Tavernelli, Thomas Eckl

TL;DR
This paper develops a hybrid quantum-classical simulation framework combining DFT and DMFT to study real materials, demonstrating quantum experiments on IBM hardware with error mitigation and benchmarking against known solutions.
Contribution
It introduces a novel quantum impurity solver within a DFT+DMFT framework and implements error mitigation techniques for quantum simulations of real materials.
Findings
Successful quantum experiments with up to 14 qubits on IBM Quantum hardware.
Effective error mitigation and calibration improve simulation accuracy.
Quantum results closely match exact solutions and experimental data.
Abstract
Quantum computers (QC) could harbor the potential to significantly advance materials simulations, particularly at the atomistic scale involving strongly correlated fermionic systems where an accurate description of quantum many-body effects scales unfavorably with size. While a full-scale treatment of condensed matter systems with currently available noisy quantum computers remains elusive, quantum embedding schemes like dynamical mean-field theory (DMFT) allow the mapping of an effective, reduced subspace Hamiltonian to available devices to improve the accuracy of ab initio calculations such as density functional theory (DFT). Here, we report on the development of a hybrid quantum-classical DFT+DMFT simulation framework which relies on a quantum impurity solver based on the Lehmann representation of the impurity Green's function. Hardware experiments with up to 14 qubits on the IBM…
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Taxonomy
TopicsQuantum and electron transport phenomena · Physics of Superconductivity and Magnetism · Quantum Information and Cryptography
