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

2026-04-01

Abstract excerpt

Hybrid quantum-classical neural networks offer a parameter-efficient path for clinical prediction, yet the field lacks reproducible methodologies for architectural design. Most current models rely on ad hoc circuit choices, complicating replication and comparison. This study introduces a generalizable Hybrid Quantum-Classical Neural Network (HQCNN) framework that replaces trial-and-error design with a principled B...

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Literature Corpus work: 7bab2d7f-159b-5637-b72f-b17c83c8d928
DOI: 10.20944/preprints202604.0039.v1

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