Article
Hybrid Quantum–Classical Benchmarks for Synthetic DNA Risk Classification: A Fully Simulated Study
2025-12-12
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...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- 05ce8635-1ca1-5e64-8ac8-b71ab6b19ad6
- DOI
- 10.21203/rs.3.rs-8305194/v2
