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Bibliographic Details
Main Authors: Vizzuso, Mara, Passarelli, Gianluca, Cantele, Giovanni, Lucignano, Procolo
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2409.03503
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author Vizzuso, Mara
Passarelli, Gianluca
Cantele, Giovanni
Lucignano, Procolo
author_facet Vizzuso, Mara
Passarelli, Gianluca
Cantele, Giovanni
Lucignano, Procolo
contents Recently, digitized-counterdiabatic (CD) corrections to the quantum approximate optimization algorithm (QAOA) have been proposed, yielding faster convergence within the desired accuracy than standard QAOA. In this manuscript, we apply this approach to a fully-connected spin model with random couplings. We show that the performances of the algorithm are related to the spectral properties of the instances analyzed. In particular, the larger the gap between the ground state and the first excited states, the better the convergence to the exact solution.
format Preprint
id arxiv_https___arxiv_org_abs_2409_03503
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The role of gaps in digitized counterdiabatic QAOA for fully-connected spin models
Vizzuso, Mara
Passarelli, Gianluca
Cantele, Giovanni
Lucignano, Procolo
Quantum Physics
Recently, digitized-counterdiabatic (CD) corrections to the quantum approximate optimization algorithm (QAOA) have been proposed, yielding faster convergence within the desired accuracy than standard QAOA. In this manuscript, we apply this approach to a fully-connected spin model with random couplings. We show that the performances of the algorithm are related to the spectral properties of the instances analyzed. In particular, the larger the gap between the ground state and the first excited states, the better the convergence to the exact solution.
title The role of gaps in digitized counterdiabatic QAOA for fully-connected spin models
topic Quantum Physics
url https://arxiv.org/abs/2409.03503