Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Directions

Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Directions

Quantum computing and machine learning (ML) have received significant developments which have set the stage for the next frontier of creative work and usefulness. This paper aims at reviewing various data-encoding techniques in Quantum Machine Learning (QML) while highlighting their significance in...

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Bibliographic Details
Main Authors: Deepak Ranga, Aryan Rana, Sunil Prajapat, Pankaj Kumar, Kranti Kumar, Athanasios V. Vasilakos
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Mathematics
Subjects:
quantum computing
machine learning (ML)
data encoding
Quantum Machine Learning (QML)
Online Access:https://www.mdpi.com/2227-7390/12/21/3318
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