Design and analysis of parallel quantum transfer fractal priority replay with dynamic memory algorithm in quantum reinforcement learning for robotics

Design and analysis of parallel quantum transfer fractal priority replay with dynamic memory algorithm in quantum reinforcement learning for robotics

Abstract This paper introduces the parallel quantum transfer fractal priority reply with dynamic memory (P‐QTFPR‐DM) algorithm, an innovative approach that combines quantum computing and reinforcement learning (RL) to enhance decision‐making in autonomous vehicles. Leveraging quantum principles such...

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Bibliographic Details
Main Authors: R. Palanivel, P. Muthulakshmi
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Quantum Communication
Subjects:
quantum computing
quantum computing techniques
quantum entanglement
quantum gates
quantum information
Online Access:https://doi.org/10.1049/qtc2.12111

Internet

https://doi.org/10.1049/qtc2.12111

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