Code and Data Repository for Binary Quantum Control Optimization with Uncertain Hamiltonians

The goal of this software is to implement the gradient-based and rounding algorithms proposed in the paper to solve the binary quantum control optimization problem with uncertain Hamiltonians.

Authors

Lucas T. Brady (ORCID: https://orcid.org/0000-0001-7696-7689)
Siqian Shen (ORCID: https://orcid.org/0000-0002-2854-163X)
Jeffrey Larson (ORCID: https://orcid.org/0000-0001-9924-2082)
Xinyu Fei (ORCID: https://orcid.org/0000-0001-7010-8664)
Sven Leyffer (ORCID: https://orcid.org/0000-0001-8839-5876)

Publication Details

Journal: INFORMS journal on computing
Published: 2024-11-07
DOI: https://doi.org/10.1287/ijoc.2024.0560.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 Binary Quantum Control Optimization with Uncertain Hamiltonians

Lucas T. Brady, Siqian Shen, Jeffrey Larson, Xinyu Fei et al.

Nov 7, 2024

1 citations

INFORMS journal on computing

Quantum Computing Algorithms and Architecture

0.35

article

Code and Data Repository for Binary Quantum Control Optimization with Uncertain Hamiltonians

Lucas T. Brady, Siqian Shen, Jeffrey Larson, Xinyu Fei, Sven Leyffer

November 7, 2024article en

1 citations

Abstract

The goal of this software is to implement the gradient-based and rounding algorithms proposed in the paper to solve the binary quantum control optimization problem with uncertain Hamiltonians.

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 Binary Quantum Control Optimization with Uncertain Hamiltonians — Lucas T. Brady, Siqian Shen, et al. · INFORMS journal on computing (2024) | TGRS Research Map | TGRS