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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Bibliografische gegevens
Hoofdauteurs: R. Palanivel, P. Muthulakshmi
Formaat: Artikel
Taal:English
Gepubliceerd in: Wiley 2024-12-01
Reeks:IET Quantum Communication
Onderwerpen:
quantum computing
quantum computing techniques
quantum entanglement
quantum gates
quantum information
Online toegang:https://doi.org/10.1049/qtc2.12111

Internet

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

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