Generalized Ansatz for High-Accuracy Quantum Sentiment Classification Using Variational Quantum Algorithm Scheme

This paper investigates sentiment classification using QNLP within the Variational Quantum Algorithms (VQA) framework, which offers a practical approach for current hardware limitations by optimizing parameterized quantum circuits through classical computation. While the quantum computer is not read...

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Autores principales:	Muhammad Rifat Abiwardani, Fariska Zakhralativa Ruskanda, Infall Syafalni, Rahmat Mulyawan, Akio Higo
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2025-01-01
Colección:	IEEE Access
Materias:	Quantum natural language processing sentiment classification ansatz
Acceso en línea:	https://ieeexplore.ieee.org/document/11113301/
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