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Hybrid Quantum–Classical Benchmarks for Synthetic DNA Risk Classification: A Fully Simulated Study

2025-12-11

Abstract excerpt

<title>Abstract</title> <p>Hybrid quantum–classical architectures offer a promising direction for sequence modeling, yet their empirical behavior on realistic bioinformatics tasks remains insufficiently documented. Here, we present a fully simulated, reproducible benchmark for hybrid quantum machine learning applied to synthetic DNA disease-risk classification. A dataset of 5,000 sequences (200 bp) across five ba...

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Literature Corpus work
5ab3cd9d-0751-5dc8-95fe-809f61cd4357
DOI
10.21203/rs.3.rs-8305194/v1
Open publication

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Hybrid Quantum–Classical Benchmarks for Synthetic DNA Risk Classification: A Fully Simulated StudyDOI 10.21203/rs.3.rs-8305194/v1
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