Article

Benchmarking Classical and Quantum-Hybrid Clustering on Autism Spectrum Disorder Screening Data

2026-07-16

Abstract excerpt

Quantum Machine Learning (QML) has been proposed as a framework that may offer theoretical advantages over classical machine learning, especially in computational complexity and parallel processing of high-dimensional data. However, due to the limitations imposed by the Noisy Intermediate-Scale Quantum (NISQ) era, implementing large-scale quantum algorithms remains infeasible, making hybrid quantum-classical appro...

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Literature Corpus work: b889d9df-4bc9-57fb-87e4-51add472e653
DOI: 10.20944/preprints202607.1191.v1

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