Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve complex problems in different domains, leveraging quantum algorithms to enhance classical machine lea...

Full description

Saved in:
Bibliographic Details
Main Authors: Pradeep Lamichhane, Danda B. Rawat
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Quantum machine learning
quantum computing
quantum models
quantum neural networks
quantum support vector machines
hybrid quantum-classical models
Online Access:https://ieeexplore.ieee.org/document/11014055/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/11014055/

Similar Items