Hybrid Quantum-Classical Neural Networks for Healthcare Prediction Powered by Automated Scientific Discovery

This study presents a reproducible evaluation framework for hybrid quantum-classical neural networks (HQCNNs) in healthcare classification, rather than a new architecture. We assess a four-qubit HQCNN combining a compact classical encoder, a two-layer parameterized quantum circuit (PQC), and a class...

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Detalhes bibliográficos

Principais autores:	Karthik Meduri, Ruthvik Yedla, Santosh Reddy Addula, Guna Sekhar Sajja, Shaila Rana, Elyson De La Cruz, Mohan Harish Maturi, Hari Gonaygunta
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-06-01
coleção:	Informatics
Assuntos:	hybrid quantum-classical neural network parameterized quantum circuit reproducible evaluation breast cancer diagnosis cross-validation Bayesian surprise
Acesso em linha:	https://www.mdpi.com/2227-9709/13/6/98
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