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.

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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
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Enhancing Machine Learning with Quantum Methods

Maya Hickmann, Hans-Martin Rieser, Markus Lange
Quantum Computing Algorithms and Architecture
article

Enhancing Machine Learning with Quantum Methods

Maya Hickmann, Hans-Martin Rieser, Markus Lange
article en

Abstract

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.

Institut für Arbeitsschutz der Deutschen Gesetzlichen Unfallversicherung (DE)
Openalex Percentile: Top 97%
Quantum Computing Algorithms and Architecture
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