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Quantum Machine Learning: Applications and Current Limitations

Year: 2025

Type: article

Abstract: "Quantum Machine Learning (QML) is an emerging field combining quantum computing and machine learning. This paper reviews current QML applications, highlights recent advancements, and discusses the limitations and challenges faced in practical implementations. Key areas include quantum-enhanced algorithms, hybrid models, and potential for accelerated data processing in AI."

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.16886925

Author: MANCHALA, KARTHIK REDDY

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6893326144

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