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A Preliminary Investigation of Quantum-Assisted Ternary Weight Optimization for BitNet Neural Networks: Proof-of-Concept on Real IBM Quantum Hardware using a Hybrid Classical-Quantum Pipeline

Fuente: Zenodo

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Détails bibliographiques
Auteur principal:	sh1vam, b
Format:	Recurso digital
Langue:	anglais
Publié:	Zenodo 2026
Sujets:	BitNet quantum computing ternary neural networks IBM Quantum QAOA hybrid quantum-classical critical weight search 1-bit LLMs NISQ gradient magnitude analysis machine learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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