Quantum Machine Learning for Biomedical Classification Problems: A Feasibility Study on Real Quantum Hardware
- DOI
- 10.1007/s10439-026-04204-8
- Published
- 2026-05-28
- Container
- Annals of Biomedical Engineering
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10439-026-04204-8,
title = {Quantum Machine Learning for Biomedical Classification Problems: A Feasibility Study on Real Quantum Hardware},
author = {Hongbin Liu and Zhemin Zhang and Kangyu Zheng and Zhiding Liang and Chi-Sheng Chen and Christopher Carothers and Juergen Hahn},
year = {2026},
journal = {Annals of Biomedical Engineering},
doi = {10.1007/s10439-026-04204-8},
url = {https://doi.org/10.1007/s10439-026-04204-8}
}RIS
TY - JOUR TI - Quantum Machine Learning for Biomedical Classification Problems: A Feasibility Study on Real Quantum Hardware AU - Hongbin Liu AU - Zhemin Zhang AU - Kangyu Zheng AU - Zhiding Liang AU - Chi-Sheng Chen AU - Christopher Carothers AU - Juergen Hahn PY - 2026 JO - Annals of Biomedical Engineering DO - 10.1007/s10439-026-04204-8 UR - https://doi.org/10.1007/s10439-026-04204-8 ER -
APA
Liu, H., Zhang, Z., Zheng, K., Liang, Z., Chen, C., Carothers, C., & Hahn, J. (2026). Quantum Machine Learning for Biomedical Classification Problems: A Feasibility Study on Real Quantum Hardware. Annals of Biomedical Engineering. https://doi.org/10.1007/s10439-026-04204-8
Source records
- crossref · retrieved 2026-09-26T00:36:41.434Z