The F.K. (2026) QUBO Auditor: Spectral Forensic Data and Reproducibility Framework
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This software repository and associated benchmarks establish the F.K. (2026) Spectral Forensic Framework for QUBO optimization.The tool addresses the "black box" nature of Quadratic Unconstrained Binary Optimization by calculating a Roughness Index r(Q) and a Penalty Dominance Ratio (PDR). By enforcing a strict 10-seed reproducibility protocol, the Auditor identifies whether a failed optimization is due to a poor solver or a fundamentally "rugged" problem formulation.Key features included in this archive:The QUBOAuditor diagnostic engine.Standardized benchmark matrices (Stable, Transition, and Rugged).API-enabled logic for automated pipeline integration.
Fields of Study & Subjects
Quantum Computing Algorithms and Architecture
Advanced Optimization Algorithms Research
Metaheuristic Optimization Algorithms Research
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026
- Language
- EN