Quantum Optimization Engine

Hybrid agentic AI · classical solver · quantum-inspired backend

Problem definition

domain

objective

constraints

variables

backend

QUBO formulation preview

min  Σᵢⱼ Qᵢⱼ xᵢxⱼ
s.t. capacity(d) ≤ Cₐ   ∀d ∈ Domains
     handoff(i→j) ≤ Tₛₗₐ
     incentive_align(r) ≥ θ

Backend selection

Classical CP-SATSimulated AnnealingHybrid QAOArecommended

Why quantum here?

Cross-enterprise routing is NP-hard with 2,840 binary variables and non-convex incentive constraints. Hybrid QAOA explores the solution landscape orders of magnitude faster than pure classical.