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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: R. Palanivel, P. Muthulakshmi
التنسيق: مقال
اللغة:English
منشور في: Wiley 2024-12-01
سلاسل:IET Quantum Communication
الموضوعات:
quantum computing
quantum computing techniques
quantum entanglement
quantum gates
quantum information
الوصول للمادة أونلاين:https://doi.org/10.1049/qtc2.12111

الانترنت

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

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