Code and Data Repository for A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms

Authors

Jeffrey Larson (ORCID: https://orcid.org/0000-0001-9924-2082)
Matt Menickelly (ORCID: https://orcid.org/0000-0002-2023-0837)
Jiahao Shi (ORCID: https://orcid.org/0000-0001-5838-3735)

Publication Details

Journal: INFORMS journal on computing
Published: 2024-11-06
DOI: https://doi.org/10.1287/ijoc.2024.0578.cd
Citations: 1
Primary Topic: Quantum Computing Algorithms and Architecture
Type: article
Field-Weighted Citation Impact: 0.35

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article

Code and Data Repository for A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms

Jeffrey Larson, Matt Menickelly, Jiahao Shi

Nov 6, 2024

1 citations

INFORMS journal on computing

Quantum Computing Algorithms and Architecture

0.35

article

Code and Data Repository for A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms

Jeffrey Larson, Matt Menickelly, Jiahao Shi

November 6, 2024article en

1 citations

Abstract

No abstract available for this paper.

INFORMS journal on computing

Openalex Percentile: Top 32%

Quantum Computing Algorithms and Architecture

0.35

DOI Source OpenAlex

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Code and Data Repository for A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms — Jeffrey Larson, Matt Menickelly, et al. · INFORMS journal on computing (2024) | TGRS Research Map | TGRS