research
Quantum Feature Selection Claimed No Quantum Advantage
A QUBO formulation selected metabolomic variables on three autism-related datasets and ran on gate hardware.
Summary
A QUBO formulation selected metabolomic variables on three autism-related datasets and ran on gate hardware.
The method balanced feature relevance against redundancy and compared quantum optimization with classical filters, wrappers and embedded methods. It reduced runtime against exhaustive search and iterative tabu search in the reported experiments, while the authors explicitly frame the result as hardware feasibility rather than quantum advantage.
Why it matters
A QUBO formulation selected metabolomic variables on three autism-related datasets and ran on gate hardware.
Limits and context
No additional limitation was separately recorded.
Key claims
A QUBO formulation selected metabolomic variables on three autism-related datasets and ran on gate hardware.
Evidence: source-2026-09-26-018
Sources
- arXiv preprint 2609.30256arXiv · primary research
Corrections
No corrections have been recorded for this story.