Matrix product state ansatz for the variational quantum solution of the Heisenberg model on Kagome geometries

Fuente: arXiv
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Main Authors: Javanmard, Younes, Liaubaite, Ugne, Osborne, Tobias J., Xu, Xusheng, Yung, Man-Hong
Format: Preprint
Published: 2024
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author Javanmard, Younes
Liaubaite, Ugne
Osborne, Tobias J.
Xu, Xusheng
Yung, Man-Hong
author_facet Javanmard, Younes
Liaubaite, Ugne
Osborne, Tobias J.
Xu, Xusheng
Yung, Man-Hong
contents The Variational Quantum Eigensolver (VQE) algorithm, as applied to finding the ground state of a Hamiltonian, is particularly well-suited for deployment on noisy intermediate-scale quantum (NISQ) devices. Here we utilize the VQE algorithm with a quantum circuit ansatz inspired by the Density Matrix Renormalization Group (DMRG) algorithm. To ameliorate the impact of realistic noise on the performance of the method we employ zero-noise extrapolation. We find that, with realistic error rates, our DMRG-VQE hybrid algorithm delivers good results for strongly correlated systems. We illustrate our approach with the Heisenberg model on a Kagome lattice patch and demonstrate that DMRG-VQE hybrid methods can locate, and faithfully represent the physics of, the ground state of such systems. Moreover, the parameterized ansatz circuit used in this work is low-depth and requires a reasonably small number of parameters, so is efficient for NISQ devices.
format Preprint
id arxiv_https___arxiv_org_abs_2401_02355
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Matrix product state ansatz for the variational quantum solution of the Heisenberg model on Kagome geometries
Javanmard, Younes
Liaubaite, Ugne
Osborne, Tobias J.
Xu, Xusheng
Yung, Man-Hong
Quantum Physics
Strongly Correlated Electrons
The Variational Quantum Eigensolver (VQE) algorithm, as applied to finding the ground state of a Hamiltonian, is particularly well-suited for deployment on noisy intermediate-scale quantum (NISQ) devices. Here we utilize the VQE algorithm with a quantum circuit ansatz inspired by the Density Matrix Renormalization Group (DMRG) algorithm. To ameliorate the impact of realistic noise on the performance of the method we employ zero-noise extrapolation. We find that, with realistic error rates, our DMRG-VQE hybrid algorithm delivers good results for strongly correlated systems. We illustrate our approach with the Heisenberg model on a Kagome lattice patch and demonstrate that DMRG-VQE hybrid methods can locate, and faithfully represent the physics of, the ground state of such systems. Moreover, the parameterized ansatz circuit used in this work is low-depth and requires a reasonably small number of parameters, so is efficient for NISQ devices.
title Matrix product state ansatz for the variational quantum solution of the Heisenberg model on Kagome geometries
topic Quantum Physics
Strongly Correlated Electrons
url https://arxiv.org/abs/2401.02355