Enhancing Machine Learning with Quantum Methods
Quantum physics offers a new paradigm that promises to make certain computations faster and more efficient.The recent progress of quantum computers allows for more complex applications which lead to a rising interest in transferring machine learning methods to quantum hardware for practical applications.However, the development of quantum computers is still in its beginnings and currently these approaches require synergy with classical computers.We present some methods where this quantum-classical interplay is used to enhance machine learning approaches.
Authors
- Maya Hickmann (ORCID: https://orcid.org/0000-0002-9501-4004)
- Hans-Martin Rieser (ORCID: https://orcid.org/0000-0002-1921-1436)
- Markus Lange
Institutions
- Institut für Arbeitsschutz der Deutschen Gesetzlichen Unfallversicherung (DE)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.14428/esann/2025.es2025-29
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- article
- Field-Weighted Citation Impact
- 0.00