Cascaded variational quantum eigensolver algorithm

Fuente: arXiv
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Autori principali: Gunlycke, Daniel, Hellberg, C. Stephen, Stenger, John P. T.
Natura: Preprint
Pubblicazione: 2023
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author Gunlycke, Daniel
Hellberg, C. Stephen
Stenger, John P. T.
author_facet Gunlycke, Daniel
Hellberg, C. Stephen
Stenger, John P. T.
contents We present a cascaded variational quantum eigensolver algorithm that only requires the execution of a set of quantum circuits once rather than at every iteration during the parameter optimization process, thereby increasing the computational throughput. This algorithm uses a quantum processing unit to probe the needed probability mass functions and a classical processing unit perform the remaining calculations, including the energy minimization. The ansatz form does not restrict the Fock space and provides full control over the trial state, including the implementation of symmetry and other physically motivated constraints.
format Preprint
id arxiv_https___arxiv_org_abs_2303_15237
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Cascaded variational quantum eigensolver algorithm
Gunlycke, Daniel
Hellberg, C. Stephen
Stenger, John P. T.
Quantum Physics
We present a cascaded variational quantum eigensolver algorithm that only requires the execution of a set of quantum circuits once rather than at every iteration during the parameter optimization process, thereby increasing the computational throughput. This algorithm uses a quantum processing unit to probe the needed probability mass functions and a classical processing unit perform the remaining calculations, including the energy minimization. The ansatz form does not restrict the Fock space and provides full control over the trial state, including the implementation of symmetry and other physically motivated constraints.
title Cascaded variational quantum eigensolver algorithm
topic Quantum Physics
url https://arxiv.org/abs/2303.15237