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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Karthik Meduri, Ruthvik Yedla, Santosh Reddy Addula, Guna Sekhar Sajja, Shaila Rana, Elyson De La Cruz, Mohan Harish Maturi, Hari Gonaygunta
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2026-06-01
Schriftenreihe:Informatics
Schlagworte:
hybrid quantum-classical neural network
parameterized quantum circuit
reproducible evaluation
breast cancer diagnosis
cross-validation
Bayesian surprise
Online-Zugang:https://www.mdpi.com/2227-9709/13/6/98
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