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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Principais autores:	R. Palanivel, P. Muthulakshmi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2024-12-01
coleção:	IET Quantum Communication
Assuntos:	quantum computing quantum computing techniques quantum entanglement quantum gates quantum information
Acesso em linha:	https://doi.org/10.1049/qtc2.12111
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