Is Data-Reuploading Really a Cheat Code? An Experimental Analysis
Danel Arias Alamo, Sergio Hernández López, Javier Lázaro González
2025
Abstract
Data Reuploading has been proposed as a generic embedding strategy in Variational Quantum Circuits (VQCs), offering a systematic approach to encoding classical data without the need for problem-specific circuit design. Prior studies have suggested that increasing the number of reuploading layers enhances model performance, particularly in terms of expressibility. In this paper, we present an experimental analysis of Data Reuploading, systematically evaluating its impact on expressibility, trainability, and completeness in classification tasks. Our results indicate that while adding some reuploading layers can improve performance, excessive layering does not lead to expressibility gains and introduces barren plateaus, significantly hindering trainability. Consequently, although Data Reuploading can be beneficial in certain scenarios, it is not a ”cheat code” for optimal quantum embeddings. Instead, the selection of an effective embedding remains an open problem, requiring a careful balance between expressibility and trainability to achieve robust quantum learning models.
DownloadPaper Citation
in Harvard Style
Alamo D., López S. and González J. (2025). Is Data-Reuploading Really a Cheat Code? An Experimental Analysis. In Proceedings of the 1st International Conference on Quantum Software - Volume 1: IQSOFT; ISBN 978-989-758-761-0, SciTePress, pages 128-137. DOI: 10.5220/0013555000004525
in Bibtex Style
@conference{iqsoft25,
author={Danel Alamo and Sergio López and Javier González},
title={Is Data-Reuploading Really a Cheat Code? An Experimental Analysis},
booktitle={Proceedings of the 1st International Conference on Quantum Software - Volume 1: IQSOFT},
year={2025},
pages={128-137},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013555000004525},
isbn={978-989-758-761-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 1st International Conference on Quantum Software - Volume 1: IQSOFT
TI - Is Data-Reuploading Really a Cheat Code? An Experimental Analysis
SN - 978-989-758-761-0
AU - Alamo D.
AU - López S.
AU - González J.
PY - 2025
SP - 128
EP - 137
DO - 10.5220/0013555000004525
PB - SciTePress