Minimax-Optimal Quantum-Symbolic Housing Risk Research Suite (v3.2)

Minimax-Optimal Quantum-Symbolic Housing Risk: Research Suite (v3.2) Project Summary: This research suite documents the hardware validation and multi-cloud orchestration phase of the Minimax-Optimal Housing Risk pipeline. Designed to address SDG 11 (Sustainable Cities and Communities), the project utilizes a Neuro-Symbolic Quantum architecture to identify optimal housing portfolios in climate-vulnerable and financially "frustrated" manifolds. The research follows a dual-track validation strategy: 1. The Peer-Review Core (ASEAN Triangle): Rigorous hardware validation of the Philippines, Indonesia, and Vietnam on 156-qubit superconducting processors (Heron r2). This track provides the empirical foundation for the accompanying mathematical propositions in Paper v7.2. 2. The Platform Scaling Proof (Global South): A 12-nation computational stress test encompassing 1,397 systemic risk factors. This proves the engine's capacity to tame high-dimensional "Analytical Monsters" in constant-time (O(1)) quantum processing, providing a hardware-validated roadmap for sovereign risk optimization. Technical Methodology: - Differentiable Logic Programming (DLP): Rank-collapse of massive societal tensors into 16-qubit logical Hamiltonians. - Deterministic ISA Engineering: Depth collapse (1,372 $\rightarrow$ 218) via guided physical snaking paths. - Advanced Mitigation: Implementation of Method Boxes 1–9, including RQAOA Refinement, IEPL Initialization, and Classical Shadow Estimation.