Research Release v1.0: Quantum-Augmented Query Optimization & Data Architecture (Series Hub)

This record is the series hub for a 4-part research release (tetralogy) on database systems: structural trade-offs in modern data architectures and quantum-augmented techniques for robust query optimization and OLAP execution. Parts (Zenodo DOIs):- 10.5281/zenodo.17797344- 10.5281/zenodo.17797276- 10.5281/zenodo.17796162- 10.5281/zenodo.17796302 Recommended reading order:Part 1 → Part 2 → Part 3 → Part 4 One-line summary of each part:- Part 1: We formalize projection-induced metric distortion and demonstrate a “findability collapse” in similarity-based retrieval (simulation-based).- Part 2: We quantify polyglot vs. multimodel trade-offs via a coupling-ratio model and identify break-even regions for cross-store query workloads.- Part 3: We propose QACE, a reliability-gated hybrid estimator that selectively invokes a quantum-assisted routine to mitigate CE failures under skew/correlation.- Part 4: We analyze key-only offloading for OLAP bottlenecks (Top-K/join primitives) and derive break-even conditions under a hybrid latency/cost model. Research positioning:- Unpublished research manuscripts intended for open dissemination and community feedback.- Emphasis on explicit assumptions/limitations and model- or simulation-based evidence where applicable. Reproducibility (current status):- This hub provides a stable citation and navigation entrypoint for the series.- A reproducibility bundle (code/data/environment + claims table) is planned for a subsequent release (new version). Feedback I’m looking for:- Which baselines and related work should be emphasized for each part?- Are the modeling assumptions and break-even analyses reasonable?- Which part is most promising for a real-system prototype?