Enhancing Quantum Software Development Process with Experiment Tracking

Mahee Gamage; Otso Kinanen; Jake Muff; Vlad Stirbu

doi:10.1109/QCE65121.2025.10361

Enhancing Quantum Software Development Process with Experiment Tracking

Mahee Gamage^*
, Otso Kinanen
, Jake Muff
, Vlad Stirbu

^*Corresponding author for this work

BA6209 Quantum algorithms and software

University of Jyväskylä

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

As quantum computing advances from theoretical promise to experimental reality, the need for rigorous experiment tracking becomes critical. Drawing inspiration from best practices in machine learning (ML) and artificial intelligence (AI), we argue that reproducibility, scalability, and collaboration in quantum research can benefit significantly from structured tracking workflows. This paper explores the application of MLflow in quantum research, illustrating how it enables better development practices, experiment reproducibility, decision making, and cross-domain integration in an increasingly hybrid classical-quantum landscape.

Original language	English
Title of host publication	2025 IEEE International Conference on Quantum Computing and Engineering (QCE)
Subtitle of host publication	Proceedings
Editors	Candace Culhane, Greg Byrd, Hausi Muller, Andrea Delgado, Stephan Eidenbenz
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	392-393
Number of pages	2
ISBN (Electronic)	9798331557362
DOIs	https://doi.org/10.1109/QCE65121.2025.10361
Publication status	Published - 2025
MoE publication type	A4 Article in a conference publication
Event	6th IEEE International Conference on Quantum Computing and Engineering, QCE 2025 - Albuquerque, United States Duration: 31 Aug 2025 → 5 Sept 2025

Conference

Conference	6th IEEE International Conference on Quantum Computing and Engineering, QCE 2025
Country/Territory	United States
City	Albuquerque
Period	31/08/25 → 5/09/25

Funding

This work has been supported by the Academy of Finland (project DEQSE 349945), Business Finland (EM4QS 155/31/2024), Finnish Ministry of Education and Culture through the Quantum Doctoral Education Pilot Program (QDOC VN /3137/2024-OKM-4) and the Research Council of Finland through Finnish Quantum Flagship project (359240, JYU).

Keywords

experiment tracking
process quality
quantum software development

Access to Document

10.1109/QCE65121.2025.10361

Cite this

Gamage, M., Kinanen, O., Muff, J., & Stirbu, V. (2025). Enhancing Quantum Software Development Process with Experiment Tracking. In C. Culhane, G. Byrd, H. Muller, A. Delgado, & S. Eidenbenz (Eds.), 2025 IEEE International Conference on Quantum Computing and Engineering (QCE): Proceedings (pp. 392-393). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/QCE65121.2025.10361

Gamage, Mahee ; Kinanen, Otso ; Muff, Jake et al. / Enhancing Quantum Software Development Process with Experiment Tracking. 2025 IEEE International Conference on Quantum Computing and Engineering (QCE): Proceedings. editor / Candace Culhane ; Greg Byrd ; Hausi Muller ; Andrea Delgado ; Stephan Eidenbenz. IEEE Institute of Electrical and Electronic Engineers, 2025. pp. 392-393

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title = "Enhancing Quantum Software Development Process with Experiment Tracking",

abstract = "As quantum computing advances from theoretical promise to experimental reality, the need for rigorous experiment tracking becomes critical. Drawing inspiration from best practices in machine learning (ML) and artificial intelligence (AI), we argue that reproducibility, scalability, and collaboration in quantum research can benefit significantly from structured tracking workflows. This paper explores the application of MLflow in quantum research, illustrating how it enables better development practices, experiment reproducibility, decision making, and cross-domain integration in an increasingly hybrid classical-quantum landscape.",

keywords = "experiment tracking, process quality, quantum software development",

author = "Mahee Gamage and Otso Kinanen and Jake Muff and Vlad Stirbu",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 6th IEEE International Conference on Quantum Computing and Engineering, QCE 2025 ; Conference date: 31-08-2025 Through 05-09-2025",

year = "2025",

doi = "10.1109/QCE65121.2025.10361",

language = "English",

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Gamage, M, Kinanen, O, Muff, J & Stirbu, V 2025, Enhancing Quantum Software Development Process with Experiment Tracking. in C Culhane, G Byrd, H Muller, A Delgado & S Eidenbenz (eds), 2025 IEEE International Conference on Quantum Computing and Engineering (QCE): Proceedings. IEEE Institute of Electrical and Electronic Engineers, pp. 392-393, 6th IEEE International Conference on Quantum Computing and Engineering, QCE 2025, Albuquerque, New Mexico, United States, 31/08/25. https://doi.org/10.1109/QCE65121.2025.10361

Enhancing Quantum Software Development Process with Experiment Tracking. / Gamage, Mahee; Kinanen, Otso; Muff, Jake et al.
2025 IEEE International Conference on Quantum Computing and Engineering (QCE): Proceedings. ed. / Candace Culhane; Greg Byrd; Hausi Muller; Andrea Delgado; Stephan Eidenbenz. IEEE Institute of Electrical and Electronic Engineers, 2025. p. 392-393.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AB - As quantum computing advances from theoretical promise to experimental reality, the need for rigorous experiment tracking becomes critical. Drawing inspiration from best practices in machine learning (ML) and artificial intelligence (AI), we argue that reproducibility, scalability, and collaboration in quantum research can benefit significantly from structured tracking workflows. This paper explores the application of MLflow in quantum research, illustrating how it enables better development practices, experiment reproducibility, decision making, and cross-domain integration in an increasingly hybrid classical-quantum landscape.

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PB - IEEE Institute of Electrical and Electronic Engineers

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ER -

Gamage M, Kinanen O, Muff J, Stirbu V. Enhancing Quantum Software Development Process with Experiment Tracking. In Culhane C, Byrd G, Muller H, Delgado A, Eidenbenz S, editors, 2025 IEEE International Conference on Quantum Computing and Engineering (QCE): Proceedings. IEEE Institute of Electrical and Electronic Engineers. 2025. p. 392-393 doi: 10.1109/QCE65121.2025.10361

Enhancing Quantum Software Development Process with Experiment Tracking

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