Post-variational classical quantum transfer learning for binary classification

Post-variational classical quantum transfer learning for binary classification

Abstract We address the limitations of variational quantum circuits (VQCs) in hybrid classical-quantum transfer learning by introducing post-variational strategies, which reduce training overhead and mitigate optimization issues. Our approach Post Variational Classical Quantum Transfer Learning (PVC...

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Bibliographic Details
Main Authors: Kavitha Yogaraj, Brian Quanz, Tarun Vikas, Arijit Mondal, Samrat Mondal
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Post variational
Quantum transfer learning
Quantum binary classification
Online Access:https://doi.org/10.1038/s41598-025-08887-2
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