K-ADAPT-VQE: Optimizing Molecular Ground State Searches by Chunking Operators

Fuente: arXiv
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Auteurs principaux: Bespalova, Tatiana A., Ladhari, Oumaya, Masella, Guido
Format: Preprint
Publié: 2025
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author Bespalova, Tatiana A.
Ladhari, Oumaya
Masella, Guido
author_facet Bespalova, Tatiana A.
Ladhari, Oumaya
Masella, Guido
contents Classical simulation of molecular systems is limited by exponential scaling, a hurdle quantum algorithms like Variational Quantum Eigensolvers (VQEs) aim to overcome. Although ADAPT-VQE enhances VQEs by dynamically building ansätze, it can remain computationally intensive. This work presents K-ADAPT-VQE, which improves efficiency by adding operators in chunks of K at each iteration. Our results from simulating small molecular systems show that K-ADAPT-VQE substantially reduces the total number of VQE iterations and quantum function calls required to achieve chemical accuracy in molecular ground state calculations.
format Preprint
id arxiv_https___arxiv_org_abs_2506_09658
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle K-ADAPT-VQE: Optimizing Molecular Ground State Searches by Chunking Operators
Bespalova, Tatiana A.
Ladhari, Oumaya
Masella, Guido
Quantum Physics
Classical simulation of molecular systems is limited by exponential scaling, a hurdle quantum algorithms like Variational Quantum Eigensolvers (VQEs) aim to overcome. Although ADAPT-VQE enhances VQEs by dynamically building ansätze, it can remain computationally intensive. This work presents K-ADAPT-VQE, which improves efficiency by adding operators in chunks of K at each iteration. Our results from simulating small molecular systems show that K-ADAPT-VQE substantially reduces the total number of VQE iterations and quantum function calls required to achieve chemical accuracy in molecular ground state calculations.
title K-ADAPT-VQE: Optimizing Molecular Ground State Searches by Chunking Operators
topic Quantum Physics
url https://arxiv.org/abs/2506.09658